Journal articles: 'P controller'

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Aremanda, Ramesh Babu, Nahom Yohannes, and Yosief Ghezae. "PERFORMANCE STUDIES ON WATER FLOW CONTROL USING P, PI AND PID CONTROLLERS." Journal of Engineering Science 28, no. 3 (September 2021): 126–38. http://dx.doi.org/10.52326/jes.utm.2021.28(3).11.

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The main purpose of this study is to revitalize the concept of wise and controlled supply of water for domestic, industrial and agricultural applications which facilitate sustainable usage of fresh water resources. As Eritrea is striving to manage its water resources, attention paid primarily to enable water flow control mechanisms in municipal water distribution systems. A table top process control trainer (PCT) was tested through proportional(P), integral (I) and derivative (D) control mechanisms using Ziegler-Nichols second method to evaluate the tuning variables. Applying exclusively P control action, critical period of oscillation (𝑃𝑃𝑐𝑐𝑐𝑐) was estimated as 1.4 sec at proportional band value of 9. P, PI and PID controller performance studies were conducted with tuned variables on the water flow control system at different step disturbances between 20 – 50 % and their corresponding responses were characterized. P controller exhibited faster responses with consistent increments in offset, PI controller recorded highest overshoot values with negligible offset and prolonged settling times. PID controller showed less overshoot values and faster response times than PI but it increased chatter on the control output signal. The study revealed that the system can be safely controlled between 0-80 LPH. If the offset is not a major concern, P controller would be reflected suitable with simple design and minimum expenditure, else PI controller makes offset to zero though it possesses higher settling times. In other words, PID controller is complex using more tuning parameters, need expensive maintenance, and has resulted an intermittent noise in the output signal.

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Pasha, SK Abdul, and N. Prema Kumar. "Model Predictive Controller based Unified Power Quality Conditioner for Voltage Regulation Studies in 33- Bus Closed Loop Distribution System." E3S Web of Conferences 184 (2020): 01073. http://dx.doi.org/10.1051/e3sconf/202018401073.

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Recent developments in FACTS have produced U.P.Q.C to mitigate sag and attenuate THD. U.P.Q.C has been urbanized as a FACTS controller between feeding end & far end of distribution system .The U-P-Q-C is capable of improving the voltage profile & reducing THD of distribution system by regulating the voltage using PR (Proportional-Resonant-Controller) and MPC (Model-Predictive) controller. This work proposes U-P-Q-C for Thirty Three Bus Systems .The objective of this work is to enhance-voltage-profile of T-T-B-S. The T-T-B-S in open loop & closed loop-TTBS- U-P-Q-C using PR and MPC-controllers are-modeled,pretend & their consequences are represented. Responses are estimated as a time of settle and error in steady state. The outcomes indicate that MP Controlled T-T-B-S system has better response than PR controlled T-T-B-S system.

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Padhy, P. K., S. Majhi, and D. P. Atherton. "PID-P CONTROLLER FOR TITO SYSTEMS." IFAC Proceedings Volumes 38, no. 1 (2005): 54–59. http://dx.doi.org/10.3182/20050703-6-cz-1902.00409.

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Batayneh, Wafa, and Yusra AbuRmaileh. "Decentralized Motion Control for Omnidirectional Wheelchair Tracking Error Elimination Using PD-Fuzzy-P and GA-PID Controllers." Sensors 20, no. 12 (June 22, 2020): 3525. http://dx.doi.org/10.3390/s20123525.

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The last decade observed a significant research effort directed towards maneuverability and safety of mobile robots such as smart wheelchairs. The conventional electric wheelchair can be equipped with motorized omnidirectional wheels and several sensors serving as inputs for the controller to achieve smooth, safe, and reliable maneuverability. This work uses the decentralized algorithm to control the motion of omnidirectional wheelchairs. In the body frame of the omnidirectional wheeled wheelchair there are three separated independent components of motion including rotational motion, horizontal motion, and vertical motion, which can be controlled separately. So, each component can have its different sub-controller with a minimum tracking error. The present work aims to enhance the mobility of wheelchair users by utilizing an application to control the motion of their attained/unattained smart wheelchairs, especially in narrow places and at hard detours such as 90˚ corners and U-turns, which improves the quality of life of disabled users by facilitating their wheelchairs’ maneuverability. Two approaches of artificial intelligent-based controllers (PD-Fuzzy-P and GA-PID controllers) are designed to optimally enhance the maneuverability of the system. MATLAB software is used to simulate the system and calculate the Mean Error (ME) and Mean Square Error (MSE) for various scenarios in both approaches, the results showed that the PD-Fuzzy-P controller has a faster convergence in trajectory tracking than the GA-PID controller. Therefore, the proposed system can find its application in many areas including transporting locomotor-based disabled individuals and geriatric people as well as automated guided vehicles.

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Attiya, Adnan Jabbar, Yang Wenyu, and Salam Waley Shneen. "Compared with PI, Fuzzy-PI and PSO-PI Controllers of Robotic Grinding Force Servo System." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 1 (October 1, 2015): 65. http://dx.doi.org/10.11591/tijee.v16i1.1589.

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By grinding process, when an industrial robot is used to finish a curved surface, both feed movement and contact force must controlled at the similar time in order that the grinding tool would machine the work-piece at the right position in right posture with required force. A passive wrist system is advanced, in this paper, to conform the shape of the machining propeller by altering its posture along with the surface. The proportional-integral (PI) controller, due to its simplicity, robustness, and affordable price, is extremely often used in practical applications, but it is effective for linear systems, as well as, the challenging task is to find its optimal gains. If the processes involved higher order and time delay systems, many intelligent controllers were appeared. In this paper, to cope with nonlinearities, improve the controller parameters and at the same time modeling uncertainties of grinding marine propeller surface, a PI torque controller is proposed such that its optimal gains are derived via a modern systems based on fuzzy logic theory and particle swarm optimization algorithm which are used to solve various engineering problems. Grinding force is controlled under Fuzzy-PI controller which is being assembled and compared with a PSO-PI controller to obtain which controller that provides grinding with higher quality. The compared controllers have been optimized together with the parameters of the Two-Phase Hybrid Stepping Motor. The suggested fuzzy rule function and PSO algorithm improve the response of the controlled system and searches a high-quality solution impressively. Simulation and comparison results are presented and that the proposed control systems are coping well with nonlinearities and uncertainties while find PI control parameter set effectively, the PSO-PI controller has a better control performance with improved step response for robotic grinding force servo system. These control methods was simulated using MATLAB/SIMULINK.

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Apriaskar, Esa, Fahmizal Fahmizal, Nur Azis Salim, and Dhidik Prastiyanto. "Performance Evaluation of Balancing Bicopter using P, PI, and PID Controller." Jurnal Teknik Elektro 11, no. 2 (December 20, 2019): 44–49. http://dx.doi.org/10.15294/jte.v11i2.23032.

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Due to potential features of unmanned aerial vehicles for society, the development of bicopter has started to increase. This paper contributes to the development by presenting a performance evaluation of balancing bicopter control in roll attitude. It aims to determine the best controller structure for the balancing bicopter. The controller types evaluated are based on Ziegler-Nichols tuning method; they are proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers. Root locus plot of the closed-loop balancing bicopter system is used to decide the tuning approach. This work considers a difference in pulse-width-modulation (PWM) signal between the left and right rotors as the signal control and bicopter angle in roll movement as the output. Parameters tuned by the method are Kp, Ti, and Td which is based on the ideal PID structure. The performance test utilizes rising time, settling time, maximum overshoot, and steady-state error to determine the most preferred controller. The result shows that PI-controller has the best performance among the other candidates, especially in maximum overshoot and settling time. It reaches 8.34 seconds in settling time and 3.71% in maximum overshoot. Despite not being the best in rising time and resembling PID-controller performances in steady-state error criteria, PI-controller remains the most preferred structure considering the closeness of the response to the desired value.

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Kazachek, Nina A., Valery M. Lokhin, and Vladimir A. Ryabcov. "Complex Research of Dynamics of Control Systems with Fuzzy P–Controller." International Journal of Materials, Mechanics and Manufacturing 4, no. 2 (2015): 140–43. http://dx.doi.org/10.7763/ijmmm.2016.v4.242.

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Deepa, Somasundaram, N. Anipriya, and R. Subbulakshmy. "Design of Controllers for Continuous Stirred Tank Reactor." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (April 1, 2015): 576. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp576-582.

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The objective of the project is to design various controllers for temperature control in Continuous Stirred Tank Reactor (CSTR) systems. Initially Zeigler-Nichols, modified Zeigler-Nichols, Tyreus-Luyben, Shen-Yu and IMC based method of tuned Proportional Integral (PI) controller is designed and comparisons are made with Fuzzy Logic Controller. Simulations are carried out and responses are obtained for the above controllers. Maximum peak overshoot, Settling time, Rise time, ISE, IAE are chosen as performance index. From the analysis it is found that the Fuzzy Logic Controller is a promising controller than the conventional controllers.

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AL-Khazraji, Huthaifa, Colin Cole, and William Guo. "Analysing the impact of different classical controller strategies on the dynamics performance of production-inventory systems using state space approach." Journal of Modelling in Management 13, no. 1 (February 12, 2018): 211–35. http://dx.doi.org/10.1108/jm2-08-2016-0071.

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Purpose The purpose of this paper is to examine the impact of applying two classical controller strategies, including two proportional (P) controllers with two feedback loops and one proportional–integral–derivative (PID) controller with one feedback loop, on the order and inventory performance within a production-inventory control system. Design/methodology/approach The simulation experiments of the dynamics behaviour of the production-inventory control system are conducted using a model based on control theory techniques. The Laplace transformation of an Order–Up–To (OUT) model is obtained using a state-space approach, and then the state-space representation is used to design and simulate a controlled model. The simulations of each model with two control configurations are tested by subjecting the system to a random retail sales pattern. The performance of inventory level is quantified by using the Integral of Absolute Error (IAE), whereas the bullwhip effect is measured by using the Variance ratio (Var). Findings The simulation results show that one PID controller with one feedback loop outperforms two P controllers with two feedback loops at reducing the bullwhip effect and regulating the inventory level. Originality/value The production-inventory control system is broken down into three components, namely: the forecasting mechanism, controller strategy and production-inventory process. A state-space approach is adopted to design and simulate the different controller strategy.

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Brendle, M., and K. Schmidt. "A multiplex-switch controller." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 302, no. 2 (April 1991): 339–41. http://dx.doi.org/10.1016/0168-9002(91)90418-p.

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Ebrahim, Mohamed Salama, Adel M. Sharaf, Ahmed M. Atallah, and Adel Sedky Emarah. "PV Solar-Optimal Maximum Power Search using a Modified P&O Technique." European Journal of Engineering Research and Science 2, no. 5 (May 4, 2017): 13. http://dx.doi.org/10.24018/ejers.2017.2.5.321.

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Smart Grid- PV system interface requires power electronic converter interface and robust optimal controller to ensure maximum solar energy utilization. This paper presents a new Controller based on an optimized search algorithm for maximum power point tracking controller performance using a modified Perturb and Observe P&O Algorithm for a smart grid connected PV DC-AC interface system. The modified P & O method is based on dividing the change of the power into three distinct zones with assigned zone- duty cycle ratio of the Chopper converter (D) has an initial preset value. The feasibility of the proposed method is easily implemented using proportional plus integral and fuzzy logic controllers. The controllers are assumed to control the active output power through adjusting of the dc bus voltage as well as the reactive power given to the ac smart grid network. Digital simulation results of a comparison with conventional P&O approach reflects the fast conversion and dynamic superiority of the new algorithm even under both uniform and partial shading conditions. Furthermore, the active and reactive output powers are regulated at the inverter interface with smart grid.

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Kiyak, Emre. "Tuning of controller for an aircraft flight control system based on particle swarm optimization." Aircraft Engineering and Aerospace Technology 88, no. 6 (October 3, 2016): 799–809. http://dx.doi.org/10.1108/aeat-02-2015-0037.

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Purpose This study aims to present a method for the conceptual design and simulation of an aircraft flight control system. Design/methodology/approach The design methodology is based on particle swarm optimization (PSO). PSO can be used to improve the performance of conventional controllers. The aim of the present study is threefold. First, it attempts to detect and isolate faults in an aircraft model. Second, it is to design a proportional (P) controller, a proportional derivative (PD) controller, a proportional-integral (PI) controller and a fuzzy controller for an aircraft model. Third, it is to design a PD controller for an aircraft using a PSO algorithm. Findings Conventional controllers, an intelligent controller and a PD controller-based PSO were investigated for flight control. It was seen that the P controller, the PI controller and the PD controller-based PSO caused overshoot. These overshoots were 18.5, 87.7 and 2.6 per cent, respectively. Overshoot was not seen using the PD controller or fuzzy controller. Steady state errors were almost zero for all controllers. The PD controller had the best settling time. The fuzzy controller was second best. The PD controller-based PSO was the third best, but the result was close to the others. Originality/value This study shows the implementation of the present algorithm for a specified space mission and also for study regarding variation of performance parameters. This study shows fault detection and isolation procedures and also controller gain choice for a flight control system. A comparison between conventional controllers and PD-based PSO controllers is presented. In this study, sensor fault detection and isolation are carried out, and, also, root locus, time domain analysis and Routh–Hurwitz methods are used to find the conventional controller gains which differ from other studies. A fuzzy controller is created by the trial and error method. Integral of squared time multiplied by squared error is used as a performance function type in PSO.

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Jarupula, Somlal, Narsimha Rao Vutlapalli, and Narsimha Rao Vutlapalli. "Power Quality Improvement in Distribution System using ANN Based Shunt Active Power Filter." International Journal of Power Electronics and Drive Systems (IJPEDS) 5, no. 4 (April 1, 2015): 568. http://dx.doi.org/10.11591/ijpeds.v5.i4.pp568-575.

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This paper focuses on an Artificial Neural Network (ANN) controller based Shunt Active Power Filter (SAPF) for mitigating the harmonics of the distribution system. To increase the performance of the conventional controller and take advantage of smart controllers, a feed forward-type (trained by a back propagation algorithm) ANN-based technique is implemented in shunt active power filters for producing the controlled pulses required for IGBT inverter. The proposed approach mainly work on the principle of capacitor energy to maintain the DC link voltage of a shunt connected filter and thus reduces the transient response time when there is abrupt variation in the load. The entire power system block set model of the proposed scheme has been developed in MATLAB environment. Simulations are carried out by using MATLAB, it is noticed that the %THD is reduced to 2.27% from 29.71% by ANN controlled filter. The simulated experimental results also show that the novel control method is not only easy to be computed and implemented, but also very successful in reducing harmonics.

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M. Ali, Ali, M. A. Ebrahim, and M. A. Moustafa Hassan. "Automatic Voltage Generation Control for Two Area Power System Based on Particle Swarm Optimization." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 1 (April 1, 2016): 132. http://dx.doi.org/10.11591/ijeecs.v2.i1.pp132-144.

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This article presentes a PID controller for two area power system equipped with both automatic generation control and automatic voltage regulator loops. The research has been done to control two area power systems with PSO optimized self-tuning PID controller. The comparison between different controllers and the suggested PSO based controller illustrates that the proposed controller can generate the best dynamic response for a step load change. For this purpose, MATLAB-Simulink software is used. The obtained results are promising.

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Barzegaran, Mohammadreza, and Sana Tajvidi. "A Robust Control with the Combination of Fuzzy and SMC to Stabilize the Power System." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 2 (November 1, 2016): 341. http://dx.doi.org/10.11591/ijeecs.v4.i2.pp341-353.

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Common power system stabilizer (CPSS), fuzzy power system stabilizer (FPSS) and sliding mode controller (SMC) are common controllers which are used in controlling single machine infinite bus (SMIB) power systems. Each of these controllers has disadvantages. CPSS is not robust enough to stabilize the power system perfectly. SMC is more robust than CPSS but in the presence of big uncertainties it is unable to stabilize power system. FPSS is enough robust in the presence of big uncertainties, but it causes chattering when high switching gain is needed. The goal of this paper is to present a robust controller for a single machine infinite bus (SMIB). The proposed controller is a direct fuzzy controller assisted with a sliding mode controller. The simulation shows clear positive effect and validity of the method in convergence, time and accuracy.

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Ngo, Quang-Vi, Chai Yi, and Trong-Thang Nguyen. "The fuzzy-PID based-pitch angle controller for small-scale wind turbine." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (March 1, 2020): 135. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp135-142.

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This paper aims to design the pitch angle control based on proportional–integral–derivative (PID) controller combined with fuzzy logic for small-scale wind turbine systems. In this control system, the pitch angle is controlled by the PID controller with their parameter is tuned by the fuzzy logic controller. This control system can compensate for the nonlinear characteristic of the pitch angle and wind speed. A comparison between the fuzzy-PID-controller with the conventional PID controller is carried out. The effectiveness of the method is determined by the simulation results of a small wind turbine using a permanent magnet generator (PMSG).

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Abakar, Djibrine, A. A. Abouelsoud, Michael Juma Saulo, and Simiyu Stanley Sitati. "Decentralized constrained optimal control of the multimachine power system stability improvement." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1172. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1172-1183.

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The paper proposes, a decentralized constrained optimal control of the multimachine power system stability. Today’s power network conditions, operating closer to their limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a transmission line lossy. Nonlinear controllers are more complex structure and inflexible to be used in practice paralleled with a linear controller. The linearized dynamical equations of the multimachine power system are near to an equilibrium point and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations receives the measurement data and influences the control input of the machine is only attached to the subsystems. State feedback controller guarantees the closed-loop system is asymptotically stable can guarantee the performance index. It bases designed controlled systems on the algebraic Riccati equations and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation of the results. This achievement of results is proposed by improves power system stability.

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Gilbert, Martin S., and Ramalingam Sridhar. "AMEC — Asynchronous microprogram execution controller." Microprocessing and Microprogramming 36, no. 1 (November 1992): 9–25. http://dx.doi.org/10.1016/0165-6074(92)90003-p.

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Chan, Stephen WC, and Yao Lu. "P-52: Capacitive Multi-Touch Controller Development Platform." SID Symposium Digest of Technical Papers 40, no. 1 (2009): 1287. http://dx.doi.org/10.1889/1.3256531.

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Leva, Alberto, and Martina Maggio. "The PI+p controller structure and its tuning." Journal of Process Control 19, no. 9 (October 2009): 1451–57. http://dx.doi.org/10.1016/j.jprocont.2009.05.007.

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Hudzovič, P., I. Oravec, and D. Sovišová. "Design of (P) I (D) Controller Optimal Parameters." IFAC Proceedings Volumes 36, no. 18 (September 2003): 71–76. http://dx.doi.org/10.1016/s1474-6670(17)34647-5.

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Luna, Luis, Erick Asiain, and Rubén Garrido. "Servo Velocity Control using a P+ADOB controller." IFAC-PapersOnLine 53, no. 2 (2020): 1300–1305. http://dx.doi.org/10.1016/j.ifacol.2020.12.1860.

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Wang, Heng, K. H. Low, and Michael Yu Wang. "A bilateral teleoperation controller considering the transition between the free space motion and the constrained motion." Robotica 26, no. 6 (November 2008): 781–90. http://dx.doi.org/10.1017/s0263574708004372.

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SUMMARYA two-channel bilateral controller is proposed for teleoperation systems. The controller takes into account both the free space motion and the constrained motion. Specifically, the force-position (F-P) architecture is applied during the constrained motion, while the position-position (P-P) architecture is applied during the free space motion. Theoretically, perfect transparency can be achieved. In addition, it does not need to switch the control modes of the master and the slave controllers during the transition between the free space motion and the constrained motion. Experiments are conducted to validate the analysis, and to demonstrate the effectiveness of the proposed bilateral controller. The limitations of the proposed controller are also discussed.

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Al-Mawsawi, S. Ali Abbas, Anwer Haider, and S. Ahmed Al-gallaf. "Design of Robust UPFC Based Damping Controller Using Biogeography Based Optimization." Indonesian Journal of Electrical Engineering and Computer Science 2, no. 3 (June 1, 2016): 554. http://dx.doi.org/10.11591/ijeecs.v2.i3.pp554-565.

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In this paper a new optimization algorithm, the biogeography based optimization (BBO) is employed to design a robust power oscillation damping (POD) controller using unified power flow controller (UPFC). The controller that is used to damp low frequency oscillation is designed over a wide range of operating points using two different objective functions. The obtained controllers are then verified through time-domain simulation over different loading conditions with different system uncertainties introduced.

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URAKAWA, Yoshiyuki. "Improvement of P-PI Controller Compared with PID Controller Using Limited Pole Placement Method." Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP 2018 (2018): 2C03_1. http://dx.doi.org/10.1299/jsmeiip.2018.2c03_1.

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Gnanavadivel, J., N. Senthil Kumar, C. N. Naga Priya, and K. S. Krishna Veni. "Investigation of Power Quality Improvement in Super Lift Luo Converter." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 3 (September 1, 2017): 1240. http://dx.doi.org/10.11591/ijpeds.v8.i3.pp1240-1250.

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This paper presents the improved single phase AC-DC super lift Luo converter for enhancing quality of power by mitigating the issues. The proposed converter is used for output voltage control, power factor improvement and reduced source current harmonics at supply side. The main intention of this work is to design appropriate closed loop controllers for this AC-DC super lift Luo converter to achieve unity power factor in the source end. The designed control system comprises of two control loops, voltage control in outer loop and the current controller is devised in the inner loop. Fuzzy controller is used for current controller whereas PI controller as voltage controller. In the MATLAB/SIMULINK platform, simulation of the proposed AC-DC super lift Luo converter is done. It is clear from the simulation results that PI integrated fuzzy controller for voltage and control is proven to be better than classical PI with hysteresis controllers. The proposed system is able to achieve high input power factor along with supply current harmonic distortions of less than 5%.

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Yasmine Begum, A., and G. V. Marutheeswar. "Design of MPC for Superheated Steam Temperature Control in a Coal-fired Thermal Power Plant." Indonesian Journal of Electrical Engineering and Computer Science 4, no. 1 (October 1, 2016): 73. http://dx.doi.org/10.11591/ijeecs.v4.i1.pp73-82.

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A superheater is a vital part of the steam generation process in the boiler-turbine system. Reliable control of temperature in the superheated steam temperature system is essential to guarantee efficiency and high load-following capability in the operation of coal-fired Thermal power plant. The PI and PID controllers are extensively used in cascade control of secondary superheated steam temperature process.The design and implementation of a Model Predictive Control (MPC) strategy for the superheated steam temperature regulation in a thermal power plant is presented. A FOPTD model is derived from the dynamic model of the superheater. This model is required by the MPC algorithm to calculate the future control inputs. A new MPC controller is designed and its performance is tested through simulation studies. Compared with the superheater steam temperature control using a conventional PID controller, the steam temperature controlled by the MPC controller is found to be more stable. The stable steam temperature leads to energy saving and efficient plant operation, as verified by the simulation results.

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Keek, Joe Siang, Ser Lee Loh, and Shin Horng Chong. "Design and Control System Setup of an E-Pattern Omniwheeled Cellular Conveyor." Machines 9, no. 2 (February 20, 2021): 43. http://dx.doi.org/10.3390/machines9020043.

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The addition of omnidirectional capability and modularization to conveyor systems is an exciting and trending topic in current conveyor research. The implementation of omnidirectional modular conveyors is foreseen as mandatory in the future of conveyor technologies due to their flexibility and efficiency. In this paper, an E-pattern omniwheeled cellular conveyor (EOCC) is first introduced. Camera and image processing techniques are utilized to achieve a centralized system, which is more robust than conventional decentralized systems. In order for cartons to maneuver across the EOCC, a unique method for activation of the actuators is subsequently designed. Next, the nominal characteristic of the EOCC is analyzed based on the step responses, which then inspire the proposal of four simple controllers, namely the P–P–P–P controller, tTS + P–P–P–P controller, P–P–PD–PD controller, and tTS + P–P–PD–PD controller (P for proportional, D for derivative and tTS for time-shifting), which are used to evaluate the tracking performance of the EOCC in diagonal-shaped, ∞-shaped (horizontal lemniscus), and 8-shaped (vertical lemniscus) trajectories. The results show that there is no clear winner among the controllers, with each having its own advantages and disadvantages. Nevertheless, such findings provide clearer insight into the EOCC, which is vital for future works. After all, the introduction of the EOCC system in this paper is also anticipated to elevate the benchmarks and competitiveness in the current field of modern conveyor technologies.

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S. Raghuwanshi, Santosh, and Vikas Khare. "Sizing and implementation of Photovoltaic Water Pumping System for Irrigation." IAES International Journal of Artificial Intelligence (IJ-AI) 7, no. 1 (March 1, 2018): 54. http://dx.doi.org/10.11591/ijai.v7.i1.pp54-62.

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Solar photovoltaic systems convert energy of light directly into electrical energy. This work presents, a process to compute the required size of the stand-alone solar photovoltaic generator based water pumping system for an existing area. In addition solar photovoltaic generator is connecting voltage source inverter fed vector controlled induction motor-pump system. Perturb and observe are used for harvesting maximum power of PV generator in between buck-boost DC converter and inverter system. In this paper system result is validated by fuzzy logic system and compare with variable frequency drives based PI controllers, driving motor-pump system. The operational performance at 60 m head, VFD based controllers in terms overshoot and setting time and also analysis performance of motor-pump set under different weather conditions. By assessment of system we find that speed and torque variation, overshoot and settling time is more with PI controller, Fuzzy logic controller (FLC) performance have dominance to VFD based PI controller.

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Mekrini, Zineb, and Seddik Bri. "Fuzzy Logic Application for Intelligent Control of An Asynchronous Machine." Indonesian Journal of Electrical Engineering and Computer Science 7, no. 1 (July 1, 2017): 61. http://dx.doi.org/10.11591/ijeecs.v7.i1.pp61-70.

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The aim of this article is propose a method to improve the direct torque control and design a Fuzzy Logic based Controller which can take necessary control action to provide the desired torque and flux of an asynchronous machine. It’s widely used in the industrial application areas due to several features such as fast torque response and less dependence on the rotor parameters. The major problem that is usually associated with DTC control is the high torque ripple as it is not directly controlled. The high torque ripple causes vibrations to the motor which may lead to component lose, bearing failure or resonance. The fuzzy logic controller is applied to reduce electromagnetic torque ripple. In this proposed technique, the two hysteresis controllers are replaced by fuzzy logic controllers and a methodology for implementation of a rule based fuzzy logic controller are presented. The simulation by Matlab/Simulink was built which includes induction motor d-q model, inverter model, fuzzy logic switching table and the stator flux and torque estimator. The validity of the proposed method is confirmed by the simulative results of the whole drive system and results are compared with conventional DTC method.

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Kamachkin, Alexander M., Nikolai A. Stepenko, and Gennady M. Chitrov. "On the theory of constructive construction of a linear controller." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 16, no. 3 (2020): 326–44. http://dx.doi.org/10.21638/11701/spbu10.2020.309.

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The classical problem of stationary stabilization with respect to the state of a linear stationary control system is investigated. Efficient, easily algorithmic methods for constructing controllers of controlled systems are considered: the method of V. I. Zubov and the method of P. Brunovsky. The most successful modifications are indicated to facilitate the construction of a linear controller. A new modification of the construction of a linear regulator is proposed using the transformation of the matrix of the original system into a block-diagonal form. This modification contains all the advantages of both V. I. Zubov’s method and P. Brunovsky’s method, and allows one to reduce the problem with multidimensional control to the problem of stabilizing a set of independent subsystems with scalar control for each subsystem.

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32

Chia, Kim Seng. "Ziegler-Nichols Based Proportional-Integral-Derivative Controller for a Line Tracking Robot." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 1 (January 1, 2018): 221. http://dx.doi.org/10.11591/ijeecs.v9.i1.pp221-226.

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Line tracking robots have been widely implemented in various applications. Among various control strategies, a proportional-integral-derivative (PID) algorithm has been widely proposed to optimize the performance of a line tracking robot. However, the motivation of using a PID controller, instead of a proportional (P) or a proportional-integral (PI) controller, in a line tracking task has seldom been discussed. Particularly, the use of a systematic tuning approach e.g. closed loop Ziegler Nichols rule to optimize the parameters of a PID controller has rarely been investigated. Thus, this paper investigates the performance of P, PI, and PID controllers in a line tracking task, and the ability of Ziegler Nichols rule to optimize the parameters of the P, PI, and PID controllers. First, the ultimate gain value, Ku and ultimate period of oscillation, Pu were estimated using a proposed approach. Second, the values of KP, KI and KD were estimated using the Ziegler Nichols formulae. The performance of a differential wheeled robot in the line tracking task was evaluated using three different speeds. Results indicate that the Ziegler Nichols rule coupled with the proposed method is able to identify the parameters of the P, PI, and PID controllers systematically in the line tracking task. Findings indicate that the mobile robot coupled with a proportional controller achieved the best performance compared to PI and PID controllers in the line tracking process when the estimated initial parameters were used.

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Alharbi, Wael, and Barry Gomm. "Genetic Algorithm Optimisation of PID Controllers for a Multivariable Process." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 5, no. 1 (March 29, 2017): 77. http://dx.doi.org/10.3991/ijes.v5i1.6692.

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This project is about the design of PID controllers and the improvement of outputs in multivariable processes. The optimisation of PID controller for the Shell oil process is presented in this paper, using Genetic Algorithms (GAs). Genetic Algorithms (GAs) are used to automatically tune PID controllers according to given specifications. They use an objective function, which is specially formulated and measures the performance of controller in terms of time-domain bounds on the responses of closed-loop process.A specific objective function is suggested that allows the designer for a single-input, single-output (SISO) process to explicitly specify the process performance specifications associated with the given problem in terms of time-domain bounds, then experimentally evaluate the closed-loop responses. This is investigated using a simple two-term parametric PID controller tuning problem. The results are then analysed and compared with those obtained using a number of popular conventional controller tuning methods. The intention is to demonstrate that the proposed objective function is inherently capable of accurately quantifying complex performance specifications in the time domain. This is something that cannot normally be employed in conventional controller design or tuning methods.Finally, the recommended objective function will be used to examine the control problems of Multi-Input-Multi-Output (MIMO) processes, and the results will be presented in order to determine the efficiency of the suggested control system.

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Chaudhary, Rekha, Arun Kumar Singh, and Saligram Agrawal. "A Novel Approach to PID Controller Design for Improvement of Transient Stability and Voltage Regulation of Nonlinear Power System." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (October 1, 2016): 2225. http://dx.doi.org/10.11591/ijece.v6i5.10818.

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In this paper, a novel design method for determining the optimal PID controller parameters for non-linear power system using the particle swarm optimization (PSO) algorithm is presented. The direct feedback linearization (DFL) technique is used to linearize the nonlinear system for computing the PID (DFL-PID) controller parameters. By taking an example of single machine infinite bus (SMIB) power system it has been shown that PSO based PID controller stabilizes the system and restores the pre-fault system performance after fault is cleared and line is restored. The performance of this controlled system is compared with the performance of DFL-state feedback controlled power system. It has been shown that the performance of DFL-PID controlled system is superior compared to DFL-state feedback controlled system. For simulation MATLAB 7 software is used.

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35

Chaudhary, Rekha, Arun Kumar Singh, and Saligram Agrawal. "A Novel Approach to PID Controller Design for Improvement of Transient Stability and Voltage Regulation of Nonlinear Power System." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (October 1, 2016): 2225. http://dx.doi.org/10.11591/ijece.v6i5.pp2225-2238.

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In this paper, a novel design method for determining the optimal PID controller parameters for non-linear power system using the particle swarm optimization (PSO) algorithm is presented. The direct feedback linearization (DFL) technique is used to linearize the nonlinear system for computing the PID (DFL-PID) controller parameters. By taking an example of single machine infinite bus (SMIB) power system it has been shown that PSO based PID controller stabilizes the system and restores the pre-fault system performance after fault is cleared and line is restored. The performance of this controlled system is compared with the performance of DFL-state feedback controlled power system. It has been shown that the performance of DFL-PID controlled system is superior compared to DFL-state feedback controlled system. For simulation MATLAB 7 software is used.

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36

Cook, Michael D., Eddy H. Trinklein, Gordon G. Parker, Rush D. Robinett, and Wayne W. Weaver. "Optimal and Decentralized Control Strategies for Inverter-Based AC Microgrids." Energies 12, no. 18 (September 13, 2019): 3529. http://dx.doi.org/10.3390/en12183529.

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This paper presents two control strategies: (i) An optimal exergy destruction (OXD) controller and (ii) a decentralized power apportionment (DPA) controller. The OXD controller is an analytical, closed-loop optimal feedforward controller developed utilizing exergy analysis to minimize exergy destruction in an AC inverter microgrid. The OXD controller requires a star or fully connected topology, whereas the DPA operates with no communication among the inverters. The DPA presents a viable alternative to conventional P − ω / Q − V droop control, and does not suffer from fluctuations in bus frequency or steady-state voltage while taking advantage of distributed storage assets necessary for the high penetration of renewable sources. The performances of OXD-, DPA-, and P − ω / Q − V droop-controlled microgrids are compared by simulation.

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Makrygiorgou, Jemma J., and Antonio T. Alexandridis. "Power Electronic Control Design for Stable EV Motor and Battery Operation during a Route." Energies 12, no. 10 (May 24, 2019): 1990. http://dx.doi.org/10.3390/en12101990.

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Electric vehicles (EVs), during a route, should normally operate at the desired speed by effectively controlling the power that flows between their batteries and the electric motor/generator. To implement this task, in this paper, the voltage source AC/DC converter is considered as a controlled power interface between the electric machine and the output of the DC storage device; the DC/DC converter is used to automatically regulate the battery operating condition in accordance to the profile of the acting on the vehicle wheels, unknown external torque. Particularly, the speed is continuously regulated by the vehicle driver via the pedal while all other regulations for absorbing or regenerating energy are internally controlled. The driver command is acting as speed reference input on a PI outer-loop motor speed controller which, in its turn, drives a fast P inner-loop current controller operating in cascaded mode. In a similar manner, the machine and the battery performance are self-regulated by a pure PI current controller that achieves maximum electric torque per ampere operation of the motor and by a PI/P cascaded scheme for the DC-voltage/battery–current regulation, respectively. In order to exclude any possibility of instabilities and adverse impacts between the different parts, a rigorous analysis is deployed on the complete electromechanical system that involves the motor, the batteries, the converter dynamic models and the proposed controllers. Modeling the system in Euler–Lagrange nonlinear form and applying sequentially suitable Lyapunov techniques and the time-scale separation principle, a systematic method for tuning the gains of the inner- and outer-loop controllers is derived. Therefore, the proposed controller design procedure guarantees asymptotic stability by considering the accurate system model as a whole. Finally, the proposed approach is validated by simulating realistic route conditions, performed under unknown external torque variations.

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Gobinda Padhan, Dola, and Suresh Kumar Tummala. "Enhanced performance of PID load frequency controller for power systems." International Journal of Advances in Applied Sciences 8, no. 2 (June 1, 2019): 117. http://dx.doi.org/10.11591/ijaas.v8.i2.pp117-124.

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A novel control structure for designing a PID load frequency controller for power systems is presented. The controller with a single tuning parameter is designed based on a desired closed-loop complementary sensitivity function and Pade approximation. Comparative analysis demonstrates that proposed PID controllers improves the settling time and reduces overshoot effectively against small step load disturbances. Also, the performance and robustness of the controllers have been analyzed and compared. Simulation results show significantly improved performances when compared with recent results.

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Ghany, M. A. Abdel, and Mohamed A. Shamseldin. "Model reference self-tuning fractional order PID control based on for a power system stabilizer." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 3 (September 1, 2020): 1333. http://dx.doi.org/10.11591/ijpeds.v11.i3.pp1333-1343.

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This paper presents a novel approach of self-tuning for a Modified Fractional Order PID (MFOPID) depends on the Model Reference Adaptive System (MRAS). The proposed self-tuning controller is applied to Power System Stabilizer (PSS). Takaji-Sugeno (TS) fuzzy logic technique is used to construct the MFOPID controller. The objective of MRAS is to update the five parameters of Takaji-Sugeno Modified FOPID (TSMFOPID) controller online. For different operating points of PSS, MRAS is applied to investigate the effectiveness of proposed controllers. The harmony optimization technique used to obtain the optimal parameters of TSMFOPID controllers and MRAS parameters. For different operating points with different disturbance under parameters variations the simulation results are obtained. This is to show that Self-Tuning of TSMFOPID based on (MRAS) have better performance than the fixed parameters TSMOFOPID controller.

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40

Aghdasi, F. "Controller synthesis using data-driven clocks." Microelectronics Journal 26, no. 5 (July 1995): 449–61. http://dx.doi.org/10.1016/0026-2692(95)98947-p.

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41

Kumar, B. Jagadish, and Basavaraja Banakara. "Current mode proportional resonant controlled multi input–SEPIC-re-boost-system." International Journal of Power Electronics and Drive Systems (IJPEDS) 10, no. 2 (June 1, 2019): 682. http://dx.doi.org/10.11591/ijpeds.v10.i2.pp682-689.

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The intention of this paper is to identify a suitable controller for closed loop multi converter system for multiple input sources and to improve time response of high-gain-step up-converter. Closed-loop Multi Converter System (MCS) is utilized to regulate load-voltage. This effort recommends suitable-controller for closed-two loop-controlled-SEPIC-REBOOST Converter fed DC motor. The estimation of the yield in open-two loop and closed- two-loop-circuit has been done using MATLAB or Simulink. Closed-two loop-control of Multi Converter System with Propotional+Integral (PI)- Propotional+Integral (PI) and Proportional+Resonant (PR) - Proportional+Resonant (PR) Controllers are investigated and their responses are evaluated in conditions of rise time, peak time, settling time and steady state error. It is seen that current-mode PR-PR controlled MCS gives better time domain response in terms of motor speed. A Prototype of MCS has been fabricated in the laboratory and the experimental-results are authenticated with the simulation-results.

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Alsammak, Ahmed Nasser, and Hasan Adnan Mohammed. "Power quality improvement using fuzzy logic controller based unified power flow controller." Indonesian Journal of Electrical Engineering and Computer Science 21, no. 1 (January 1, 2021): 1. http://dx.doi.org/10.11591/ijeecs.v21.i1.pp1-9.

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The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality by customers and utilities. The development and use of flexible alternating current transmission system (FACTs) controllers in power transmission systems had led to many applications of these controllers. A unified power flow controller (UPFC) is one of the FACTs elements which is used to control both active and reactive power flow of the transmission line. This paper tried to improve power quality using a fuzzy logic controller (FLC) based UPFC, where it used to control both active and reactive power flow, decreas the total harmonic distortion (THD), correct power factor, regulate line voltage and enhance transient stability. A comparison study of the performance between the system with a conventional PID controller and FLC has been done. The theoretical analysis has been proved by implementing the system using MATLAB/SIMULINK package.The Power quality of the electrical system is an important issue for industrial, commercial, and housing uses. An increasing request for high quality electrical power and an increasing number of distorting loads had led to increase the consideration of power quality by customers and utilities. The development and use of flexible alternating current transmission system (FACTs) controllers in power transmission systems had led to many applications of these controllers. A unified power flow controller (UPFC) is one of the FACTs elements which is used to control both active and reactive power flow of the transmission line. This paper tried to improve power quality using a fuzzy logic controller (FLC) based UPFC, where it used to control both active and reactive power flow, decreas the total harmonic distortion (THD), correct power factor, regulate line voltage and enhance transient stability. A comparison study of the performance between the system with a conventional PID controller and FLC has been done. The theoretical analysis has been proved by implementing the system using MATLAB/SIMULINK package.

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Roseline J, Femila, and N. M. Nandhitha. "Design of Linear Plasma Position Controllers with Intelligent Feedback Systems for Aditya Tokamak." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 5 (October 1, 2018): 2904. http://dx.doi.org/10.11591/ijece.v8i5.pp2904-2909.

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In order to increase the performance of Aditya tokamak, it is necessary to determine the feedback coil current for positioning the plasma within the magnetic chamber. In this paper, transfer functions are obtained for the plasma position prediction system. Four different feedback controllers are developed to improve the performance of the prediction system. From the analysis, Neural Network controller does not have overshoot while the PID controller has lesser settling time than the other two controllers.

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Bulut, S. "The robustness of reduced order minimal controller synthesis control in the plastic region." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 214, no. 3 (May 1, 2000): 185–95. http://dx.doi.org/10.1243/0959651001540555.

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In this paper, the stability of the reduced order minimal controller synthesis (ROMCS) algorithm is investigated by comparative robustness tests. Both, ROMCS control and the proportional plus integral (P +1) controller are implemented in the case of aluminium alloy specimens of 10 mm diameter. Three other different specimens are controlled under the same controller implementations. Hence, the unmodelled dynamics and disturbances are introduced as a natural consequence of these test conditions.

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Zulkifli, Shamsul Aizam, Mohd Khairul Akli Ab Ghani, Farih Deraman, Nawi Berahim, Abdul Hadi Abdullah, and Mohd Razali Md Tomari. "Investigation on Various Voltage Controllers for 3 Phase Rectifier Using Arduino as a Low Cost Microcontroller." Applied Mechanics and Materials 793 (September 2015): 257–61. http://dx.doi.org/10.4028/www.scientific.net/amm.793.257.

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This paper focuses on investigation of various voltage controllers which are the Proportional Integration Derivative (PID) control and P-Resonant control in order to observe the efficiency of the low cost microcontroller such as Arduino for the gating signals generation. Both of the controllers have been selected due to the availabality of the block diagrams that can be build in the MATLAB. The MATLAB-Simulink block will be used as the interface between the design controller to the Arduino board before downloaded into Arduino. The results show, the Arduino is able to operate from various controllers but it gives better result when the P-Resonant controller has been used.

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Anwar, Farhat, Rounakul Islam Boby, Hasmah Mansor, Sabahat Hussain, and Afsah Sharmin. "Development of Approximate Prediction Model for 3-DOF Helicopter and Benchmarking with Existing Controllers." Indonesian Journal of Electrical Engineering and Computer Science 8, no. 2 (November 1, 2017): 502. http://dx.doi.org/10.11591/ijeecs.v8.i2.pp502-510.

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Recent trend of living is getting modernized rapidly by the involvement of automatic systems. Within the aviation industry, automatic systems had become heavily reliable by the end of the nineteen centuries. The systems usually require controllable devices with desired control algorithm known as controller. Controllers can be replaced with, almost every mechanical automation aspect where, safety is a serious issue. But it is not easy to adapt a controller with a specific model at the beginning. It is important to predict the model before a controller works on the model and the controller parameters need to be adapted to get maximum efficiency. A 3-DOF (Three Degrees of Freedom) airframe model is an advanced benchmark model of real 3-DOF helicopter. It has the same uncommon model dynamics with nonlinearities, strong duel motor cross coupling system, uncertain characteristics, disturbances dependent, unmodeled dynamics and many more. The 3-DOF airframe model is a well-known platform for controller performance benchmarking. This research paper shows the development of an approximate prediction model of a Three Degrees of Freedom helicopter model and uses the proposed approximate model to observe the performance of an existent hybrid controller. The hybrid controller is the combination of two different controllers named Quantitative Feedback Theory (QFT) controller and Adaptive controller. To achieve the research objective, the proposed mathematical model of this airframe was used to develop transfer function and simulate with the hybrid controller in MATLAB. The performance of the controller based on the proposed heliframe model of 3-DOF helicopter have also been reported added within this paper.

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Khather, Salam Ibrahim, and Muhammed A. Ibrahim. "Modeling and simulation of SEPIC controlled converter using PID controller." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 2 (June 1, 2020): 833. http://dx.doi.org/10.11591/ijpeds.v11.i2.pp833-843.

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The topology of SEPIC "Single-ended primary inductance converter" is considered as a suitable option for automotive power system where the value of the output voltage should be ranging between the low and high values of the input value of voltage. The main feature of the DC-DC converter is the stability of output voltage. This paper shows the SEPIC converter employing PID converter to be used in industrial applications. A SEPIC DC-DC converter can manage either step-down mode or step-up mode. The benefit of using this circuit is to supply a stable and controlled output voltage no matter how much the input voltage is. The simulated behaviors of the uncontrolled and controlled SEPIC converter are presented in this paper. The PID controller based on bat algorithm (BA) optimization method is used for searching of the best Proportional–Integral-Derivative (PID) gains. The solution has given very good performance and whatever the output reference voltage variation and load disturbance of the system.

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Maggio, Martina, Marco Bonvini, and Alberto Leva. "The PID+p controller structure and its contextual autotuning." Journal of Process Control 22, no. 7 (August 2012): 1237–45. http://dx.doi.org/10.1016/j.jprocont.2012.05.012.

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Subbarao, Mopidevi, Ch Saibabu, and S. Satyanarayana. "Fuzzy peak current controlled integrated PFC convert-er with slope compensation." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 31. http://dx.doi.org/10.14419/ijet.v7i1.8.9446.

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This propounded a novel method of design and implementation of a fuzzy peak current mode (PCM) controlled Buck Integrated Power Factor Correction (PFC) Converter with compensation ramp. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are presented. Results show that converter meets international regularity commission regulations.

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Subbarao, Mopidevi, Ch SaiBabu, and S. Satyanarayana. "Fuzzy LPCM controlled buck integrated PFC convert-er for Class-C&D appliances." International Journal of Engineering & Technology 7, no. 1.8 (February 9, 2018): 35. http://dx.doi.org/10.14419/ijet.v7i1.8.9447.

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This propounded a novel method of design and implementation of a fuzzy linear peak current mode (LPCM) controlled Buck Integrated Power Factor Correction (PFC) Converter. It derives its advantages through low buck capacitor voltage and single control switch, which leads to reduced complex control and price. Sub-harmonic oscillations generates in peak current controller can be nullified by using ramp signal, there by improves the overall performance of the converter. The fuzzy controller (FLC) robust and effective than conventional linear controllers like P, PI, PID, hence in this work a (90 – 265V), 50Hz AC, 48V DC and 100 kHz frequency converter is implemented in MATLAB/Simulink software and results are verified experimentally. Results show that converter meets international regularity commission regulations.

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Journal articles on the topic 'P controller'

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