Academic literature on the topic 'Proportional-integral (PI) control'

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Journal articles on the topic "Proportional-integral (PI) control"

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Chen, Hui, Hanhan Li, Felix Motzoi, Leigh Martin, K. Birgitta Whaley, and Mohan Sarovar. "Quantum proportional-integral (PI) control." New Journal of Physics 22, no. 11 (2020): 113014. http://dx.doi.org/10.1088/1367-2630/abc464.

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Son, Donggun, Seung Jeon, and Haecheon Choi. "A proportional–integral–differential control of flow over a circular cylinder." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, no. 1940 (2011): 1540–55. http://dx.doi.org/10.1098/rsta.2010.0357.

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In the present study, we apply proportional (P), proportional–integral (PI) and proportional–differential (PD) feedback controls to flow over a circular cylinder at Re =60 and 100 for suppression of vortex shedding in the wake. The transverse velocity at a centreline location in the wake is measured and used for the feedback control. The actuation (blowing/suction) is provided to the flow at the upper and lower slots on the cylinder surface near the separation point based on the P, PI or PD control. The sensing location is varied from 1 d to 4 d from the centre of the cylinder. Given each sensing location, the optimal proportional gain in the sense of minimizing the sensing velocity fluctuations is obtained for the P control. The addition of I and D controls to the P control certainly increases the control performance and broadens the effective sensing location. The P, PI and PD controls successfully reduce the velocity fluctuations at sensing locations and attenuate vortex shedding in the wake, resulting in reductions in the mean drag and lift fluctuations. Finally, P controls with phase shift are constructed from successful PI controls. These phase-shifted P controls also reduce the strength of vortex shedding, but their results are not as good as those from the corresponding PI controls.
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Fauziyah, Mila, Supriatna Adhisuwignjo, Dinda Ayu Permatasari, and Nadira Aisyah Ibrahim. "Implementation of proportional–integral control in Baglog steamer temperature control." Bulletin of Electrical Engineering and Informatics 11, no. 5 (2022): 2555–63. http://dx.doi.org/10.11591/eei.v11i5.3630.

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Sterilization is the oyster mushroom cultivation process. Sterilization is used to kill nuisance microorganisms that can inhibit mushroom growth. The sterilization process is 8 hours at a temperature of 70–95 oC. This process of frequent breakdown is caused by the unstable temperature sterilization space and is controlled manually. Based on these problems, the right solution is to use a steamer that can be controlled automatically using the proportional–integral (PI) control method. PI controller consists of proportional gain and integral gain. To determine the value of proportional gain and integral gain, this study used the Ziegler-Nichols tuning method using the S curve. The results of the PI control parameters obtained the value of Kp=25.2 and Ki=0.302. Thus, producing a transient response graph with Mp=94.5; Os=0.45; PO=0.47; Tr=16,440 s. The system can work according to setpoint 95 oC and maintain a stable temperature according to the setpoint with these results. And the sterilization time becomes fast from 8 hours to 6 hours.
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Zafar, Farhan, Suheel Abdullah Malik, Tayyab Ali, et al. "Stabilization and tracking control of underactuated ball and beam system using metaheuristic optimization based TID-F and PIDD2–PI control schemes." PLOS ONE 19, no. 2 (2024): e0298624. http://dx.doi.org/10.1371/journal.pone.0298624.

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In this paper, we propose two different control strategies for the position control of the ball of the ball and beam system (BBS). The first control strategy uses the proportional integral derivative-second derivative with a proportional integrator PIDD2-PI. The second control strategy uses the tilt integral derivative with filter (TID-F). The designed controllers employ two distinct metaheuristic computation techniques: grey wolf optimization (GWO) and whale optimization algorithm (WOA) for the parameter tuning. We evaluated the dynamic and steady-state performance of the proposed control strategies using four performance indices. In addition, to analyze the robustness of proposed control strategies, a comprehensive comparison has been performed with a variety of controllers, including tilt integral-derivative (TID), fractional order proportional integral derivative (FOPID), integral–proportional derivative (I-PD), proportional integral-derivative (PI-D), and proportional integral proportional derivative (PI-PD). By comparing different test cases, including the variation in the parameters of the BBS with disturbance, we examine step response, set point tracking, disturbance rejection analysis, and robustness of proposed control strategies. The comprehensive comparison of results shows that WOA-PIDD2-PI-ISE and GWO-TID-F- ISE perform superior. Moreover, the proposed control strategies yield oscillation-free, stable, and quick response, which confirms the robustness of the proposed control strategies to the disturbance, parameter variation of BBS, and tracking performance. The practical implementation of the proposed controllers can be in the field of under actuated mechanical systems (UMS), robotics and industrial automation. The proposed control strategies are successfully tested in MATLAB simulation.
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Atherton, Derek. "PI-PD, an Extension of Proportional–Integral–Derivative Control." Measurement and Control 49, no. 5 (2016): 161–65. http://dx.doi.org/10.1177/0020294016649980.

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Tamba, Masaaki, Keiji Murayama, Hiroyuki Asanuma, and Takashi Nakakuki. "Renewable DNA Proportional-Integral Controller with Photoresponsive Molecules." Micromachines 13, no. 2 (2022): 193. http://dx.doi.org/10.3390/mi13020193.

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A molecular robot is an intelligent molecular system. A typical control problem of molecular robots is to maintain the concentration of a specific DNA strand at the desired level, which is typically attained by a molecular feedback control mechanism. A molecular feedback system can be constructed in a bottom-up method by transforming a nonlinear chemical reaction system into a pseudo-linear system. This method enables the implementation of a molecular proportional-integral (PI) controller on a DNA reaction system. However, a DNA reaction system is driven by fuel DNA strand consumption, and without a sufficient amount of fuel strands, the molecular PI controller cannot perform normal operations as a concentration regulator. In this study, we developed a design method for a molecular PI control system to regenerate fuel strands by introducing photoresponsive reaction control. To this end, we employed a photoresponsive molecule, azobenzene, to guide the reaction direction forward or backward using light irradiation. We validated our renewable design of the PI controller by numerical simulations based on the reaction kinetics. We also confirmed the proof-of-principle of our renewable design by conducting experiments using a basic DNA circuit.
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Kim, Euiyoung, and Haecheon Choi. "Linear proportional–integral control for skin-friction reduction in a turbulent channel flow." Journal of Fluid Mechanics 814 (February 8, 2017): 430–51. http://dx.doi.org/10.1017/jfm.2017.33.

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In the present study, we apply a proportional (P)–integral (I) feedback control to a turbulent channel flow for skin-friction reduction. The instantaneous wall-normal velocity at a sensing plane above the wall is measured as a sensing parameter, and blowing/suction is provided at the wall based on the PI control. The performance of PI controls is estimated by the change in the skin friction while varying the sensing plane location $y_{s}$ and the proportional and integral feedback gains ($\unicode[STIX]{x1D6FC}$ and $\unicode[STIX]{x1D6FD}$ respectively). The opposition control proposed by Choi et al. (J. Fluid Mech., vol. 262, 1994, pp. 75–110) corresponds to a P control with $\unicode[STIX]{x1D6FC}=1$. When the sensing plane is located close to the wall ($y_{s}^{+}\lesssim 10$), PI controls result in greater skin-friction reductions than corresponding P controls. The root-mean-square (r.m.s.) sensing velocity fluctuations, considered as the control error, approach zero with successful PI controls, but do not with P controls. Successful PI controls reduce the strength of near-wall coherent structures and the r.m.s. velocity fluctuations above the wall apart from those near the wall due to the control input. The frequency spectra of the sensing velocity show that the I component of PI controls significantly reduces the energy at low frequencies, much more than P controls do. Proportional–integral controls are also applied to a linearized flow model having transient growth of disturbances. The performance of PI controls for a linearized flow model is very similar to that for a turbulent channel flow, i.e. the low-frequency components of disturbances are significantly reduced by the I component of PI controls, and the transient energy growth is suppressed more than by P controls.
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Huang, Haihang. "PI Control Technology Principal Analysis and Simulation." Highlights in Science, Engineering and Technology 71 (November 28, 2023): 104–11. http://dx.doi.org/10.54097/hset.v71i.12676.

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As the requirements for control accuracy and speed increase, proportional-integral (PI) control systems can better achieve stable control. Proportional-integral (PI) control is widely used in modern industry because it has the characteristics of block speed and high accuracy. However, the performance of proportional control systems with different parameters varies greatly in different usage scenarios, and the behavior of PI control systems can be observed and adjusted in advance through computer simulation and modeling. This process can be optimized in advance by observing the response performance of the PI control system, thus reducing the development time and helping to improve the development efficiency in actual engineering. This paper explains the basic principle of PI control from the basic mathematical principle, and simulates the specific behavior of PI control system under different regulation parameters and shows the zero-pole distribution and step response of PI controller under different states and analyzes the application of PI control system in real engineering.
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Li, Huidong. "Speed control of direct current motors using proportional integral controllers." Applied and Computational Engineering 28, no. 1 (2023): 141–49. http://dx.doi.org/10.54254/2755-2721/28/20230231.

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Proportional integral(PI) controllers is widely used in direct current(DC) motor controlling in factories, requiring tuning of their parameters to achieve optimal performance. New tuning techniques may be developed with the aid of research, which can speed up and simplify the tuning process. This work examined the use of PI controllers to regulate the speed of DC motors. TinkerCad modelling and Falstad circuit simulation are used to simulate the circuit model. Two well-known methods, step response and root locus, were implemented and assessed using Octave Online. Results demonstrate that, provided the KP value is not excessively high, increasing KP can enhance the stability of the DC motor close-loop system. The goal of the research is to balance the system's oscillation and stability while determining the appropriate KP value for the PI controller in this closed-loop system. This research uses octave online to analysis the root locus and close loop positions in pole-zero maps and creates the step responses of the system with different parameters of the PI controller.
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Alluhydan, Khalid, Ashraf Taha EL-Sayed, and Fatma Taha El-Bahrawy. "The Effect of Proportional, Proportional-Integral, and Proportional-Integral-Derivative Controllers on Improving the Performance of Torsional Vibrations on a Dynamical System." Computation 12, no. 8 (2024): 157. http://dx.doi.org/10.3390/computation12080157.

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The primary goal of this research is to lessen the high vibration that the model causes by using an appropriate vibration control. Thus, we begin by implementing various controller types to investigate their impact on the system’s reaction and evaluate each control’s outcomes. The controller types are presented as proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers. We employed PID control to regulate the torsional vibration behavior on a dynamical system. The PID controller aims to increase system stability after seeing the impact of P and PI control. This kind of control ensures that there are no unstable components in the system. By using the multiple time scale perturbation (MTSP) technique, a first-order approximate solution has been obtained. Using the frequency response function approach, the stability and steady-state response of the system at the primary resonance scenario (Ω1≅ω1,Ω2≅ω2) are considered as the worst resonance and addressed. Additionally examined are the nonlinear dynamical system’s chaotic response and the numerical solution for various parameter values. The MATLAB programs are utilized to attain simulation outcomes.
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Dissertations / Theses on the topic "Proportional-integral (PI) control"

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Macías, Cubeiro Rosa. "Development and Implementation of a Search and Locate Actuator System." Thesis, KTH, Elektrisk energiomvandling, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-109706.

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Over the last years, electrical roads have emerged as a cost effective and environmentally friendly solution towards a transportation system with less dependency on fossil fuels. This thesis presents the design of a search and locate system for road-bound conductive electrical roads with position control in two axes. The system is intended to find and follow the position of an electrified rail. The actuator system constitutes a firm groundwork for further research and development in this field. A laboratory test set up has been designed and both hardware and software parts have been constructed. The control of the system uses the CompactRIOTM technology from National Instruments. Results from the practical evaluation suggest that the non-linear characteristic of the system and the lack of direct position feedback from the motor rotation are the main causes of a non-accurate position control. Future development steps should focus on improving the mechanical design and include encoder feedback for the control loop as well as absolute automatic control with the incorporation of rail sensors.
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Ouriagli, Mohammed. "Contribution à la synthèse de commandes robustes pour machines synchrones à aimants permanents." Vandoeuvre-les-Nancy, INPL, 1995. http://www.theses.fr/1995INPL136N.

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Le travail de mémoire porte sur la synthèse de commandes robustes pour machines synchrones à aimants permanents en tenant compte des amortisseurs et de variations de paramètres de la machine. Dans un premier temps, une commande basée sur le contrôle vectoriel et sur l'utilisation de correcteurs classiques de type proportionnel intégral a été élaborée. Le dimensionnement de ces correcteurs a été facilité par l'introduction d'un algorithme de découplage des courants statoriques direct et en quadrature. Dans un deuxième temps, nous nous sommes intéressé à la synthèse de commandes robustes et particulièrement, au contrôle H infini et à la commande par mode de glissement. Elles permettent la prise en compte des différentes perturbations et assurent en outre, un bon compromis robustesse/performances
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Catata, Elmer Osman Hancco. "Controlador PI FUZZY aplicado ao controle direto de potência do gerador de relutância variável de 12/8 conectado à rede elétrica." reponame:Repositório Institucional da UFABC, 2016.

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Orientador: Prof. Dr. José Luis Azcue Puma<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia Elétrica, 2016.<br>Este trabalho apresenta o controle direto de potencia do gerador de relutancia variavel de 12/8 utilizando o controlador fuzzy PI auto-ajustavel e o controle vetorial do inversor conectado à rede eletrica. Inicialmente são estudados os principios de operação da maquina e a topologia do conversor eletronico de potencia que sera utilizado para aciona-lo. Usando o software de simulaçãoMatlab/Simulink é implementado o modelo da maquina de relutancia variavel utilizando as curvas caracteristicas, de corrente e torque, que foram extraídas utilizando dados experimentais. Utilizando o modelo da maquina é projetado o controlador de velocidade para sua operação no modo motor. Tambem sera projetado o controlador de potência PI utilizando o modelo estimado do sistema de conversão de energia eólica. A partir dos ganhos do controlador PI é projetado o controlador fuzzy PI autoajustavel com o objetivo de melhorar a resposta em regime permanente da potencia controlada. A potencia gerada pelo gerador de relutancia variavel é injetada à rede eletrica, atraves do controle independente das potencias ativa e reativa, para este proposito é utilizado um conversor trifasico de dois níveis. Na parte experimental deste trabalho foi implementado o controle de corrente por histerese para maquina operando no modo motor, posteriormente foi implementado o controle de corrente e controle da tens~ao no barramento CC para a máquina operando no modo gerador. Os resultados de simulação e experimentais se mostraram coerentes validando os controladores propostos.<br>This work presents the direct power control of the switched reluctance generator of 12/8 using the self-tuning fuzzy PI controller and the vector control for inverter connected to the grid. Initially, the machine's operating principles and the topology of the power electronics converter used to drive this machine are studied. The model of switched reluctance machine is implemented in Matlab/Simulink simulation software using the characteristic curves of current and torque extracted using experimental data. Using the machine's model, It is designed the speed controller for its operation in motor mode. Also, the PI controller is designed for the power control loop based on the estimation of the wind energy conversion system. Using the gains of the PI controller, It is designed the self-tuning fuzzy PI controller, in order to improve the steady state response of the power control loop. The power generated by the switched reluctance generator is injected into the power grid through the independent control of active and reactive power, for this purpose is used a three-phase two level converter. In the experimental part of this work was implemented the hysteresis current control for machine operating in motor mode, also, It was implemented the current and DC bus voltage control for the machine operating in generator mode. The simulation and experimental results were proved consistent and these results validate the proposed controllers.
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Jebelli, Ali. "Development of Sensors and Microcontrollers for Underwater Robots." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31283.

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Nowadays, small autonomous underwater robots are strongly preferred for remote exploration of unknown and unstructured environments. Such robots allow the exploration and monitoring of underwater environments where a long term underwater presence is required to cover a large area. Furthermore, reducing the robot size, embedding electrical board inside and reducing cost are some of the challenges designers of autonomous underwater robots are facing. As a key device for reliable operation-decision process of autonomous underwater robots, a relatively fast and cost effective controller based on Fuzzy logic and proportional-integral-derivative method is proposed in this thesis. It efficiently models nonlinear system behaviors largely present in robot operation and for which mathematical models are difficult to obtain. To evaluate its response, the fault finding test approach was applied and the response of each task of the robot depicted under different operating conditions. The robot performance while combining all control programs and including sensors was also investigated while the number of program codes and inputs were increased.
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Mendonca, Rouella J. "PI Control of Gene Expression in Tumorous Cell Lines." 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-572.

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Recent experiments are bringing to the fore more and more information about the effects of different treatments on the gene expression of different genes. The results obtained from these experiments show that some definite trends are observed in different genes in the Human Embryonic Kidney and Human Colon Adenocarcinoma Grade II cell lines. The difference in the gene expressions of the two cell lines motivates the problem in this thesis. The thesis provided intervention methods to make the colon cancer cell line genes behave more like their Human Embryonic Kidney cell line counterparts. Two methods of intervention were introduced. The first method was the simpler on-off control intervention while the second method used a more advanced proportional integral control to meet the goal. A comparison of these two intervention methods showed the clear implementational advantages of proportional integral control over on-off control.
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Book chapters on the topic "Proportional-integral (PI) control"

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Yavuz, Şahin, Doğukan Akgöl, and Gökçe Naz Biricik. "Active Vibration Control of a Flexible Manipulator With Velocity Feedback." In Design and Control Advances in Robotics. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-5381-0.ch005.

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In this study, active vibration control of a single-link flexible manipulator has been performed. Residual vibrations affect the end-point positioning accuracy of the manipulator. To control residual vibration amplitudes, closed loop control scheme has been effectuated. Velocity feedback of the desired endpoint has been carried out and traditional proportional-integral (PI) Control has been applied. The mathematical model of the flexible manipulator has been established by the finite element method (FEM). The FEM results in modal analysis have been verified by the experimental results and then, the transient analysis has been realized by the Newmark method. Different velocity profiles have been applied to the manipulator to demonstrate the effect of PI controller on vibration amplitudes. The root mean square values and steady-state time have been calculated presented for different cases. It is observed from the results that the residual vibration amplitudes of the manipulators are successfully suppressed by the proportional-integral control gains.
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Kaliannan, Jagatheesan, Anand Baskaran, and Nilanjan Dey. "Automatic Generation Control of Thermal-Thermal-Hydro Power Systems with PID Controller Using Ant Colony Optimization." In Renewable and Alternative Energy. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1671-2.ch023.

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In this work, Artificial Intelligence (AI) based Ant Colony Optimization (ACO) algorithm is proposed for Load Frequency Control (LFC) of interconnected multi–area hydrothermal power systems. Area 1&amp;2 are thermal power systems and area 3 is a hydro power system, all the areas are interconnected through the appropriate tie-line. Thermal and hydro power plants are applied with reheat turbine and electric governor respectively. Investigated power system initially applied with conventional Proportional-Integral (PI) controller and controller parameters are optimized by using trial and error method considering Integral Time Absolute Error (ITAE) objective function. After that, the system is equipped with Proportional – Integral – Derivative (PID) controller and controller parameters are optimized by using ACO algorithm with ITAE objective function. The superiority of the proposed algorithm has been demonstrated by comparing conventional controller. Finally, The Simulation results of multi-area power system prove the effectiveness of the proposed optimization technique in LFC scheme and show its superiority over conventional PI controller.
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Azar, Ahmad Taher, Fernando E. Serrano, and Sundarapandian Vaidyanathan. "Proportional Integral Loop Shaping Control Design With Particle Swarm Optimization Tuning." In Advances in System Dynamics and Control. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4077-9.ch002.

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Backlash is one of several discontinuities found in different kinds of systems. It can be found in actuators of different types, such as mechanical and hydraulic, giving way to unwanted effects in the system behavior. Proportional integral (PI) loop shaping control design implementing a describing function to find the limit cycle oscillations and the appropriate control gain selection by particle swarm optimization is developed. Therefore, a frequency domain approach is implemented for the control of nonlinear system of any kind such as robotics, mechatronics, and other kind of mechanisms, electrical motors, etc. Finally, in order to corroborate the theoretical background explained in this chapter, the stabilization of a cart-pendulum system with the proposed control strategy is shown.
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Abdelmalek, Samir, and Hocine Belmili. "A New Robust H∞ Control Power." In Renewable and Alternative Energy. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1671-2.ch061.

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Attention has been paid by many researchers to address the various challenges of grid connection of DFIG-based Wind Energy Conversion Systems (WECS). This chapter focuses on the design of a robust H8 controller for the power flow between the stator of the Doubly-Fed Induction Generator (DFIG) and the grid. The robust H8 controller design is formulated as a mixed-sensitivity problem. A mathematical model of the DFIG written in an appropriate d-q reference frame is established to carry out simulations. The proposed power control scheme is elaborated and compared with a conventional Proportional-Integral (PI) controller based on vector control technique. The results show interesting performance of the controlled system in terms of the power reference tracking (the active and reactive power) and robustness against parameter variations compared with the conventional PI controller.
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Abdelmalek, Samir, and Hocine Belmili. "A New Robust H∞ Control Power." In Handbook of Research on Advanced Intelligent Control Engineering and Automation. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-7248-2.ch022.

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Attention has been paid by many researchers to address the various challenges of grid connection of DFIG-based Wind Energy Conversion Systems (WECS). This chapter focuses on the design of a robust H8 controller for the power flow between the stator of the Doubly-Fed Induction Generator (DFIG) and the grid. The robust H8 controller design is formulated as a mixed-sensitivity problem. A mathematical model of the DFIG written in an appropriate d-q reference frame is established to carry out simulations. The proposed power control scheme is elaborated and compared with a conventional Proportional-Integral (PI) controller based on vector control technique. The results show interesting performance of the controlled system in terms of the power reference tracking (the active and reactive power) and robustness against parameter variations compared with the conventional PI controller.
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Krim, Saber, Soufien Gdaim, Abdellatif Mtibaa, and Mimouni Mohamed Faouzi. "A Position Control With a Field Programmable Gate Array-Sun-Tracking System for Photovoltaic Panels." In Advances in System Dynamics and Control. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4077-9.ch007.

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Photovoltaic system applications should operate under good conditions. The maximum power point depends on the sunlight angle on the panel surface. In this chapter, an induction motor (IM) controlled with a direct torque control (DTC) is used to control the photovoltaic panel position. The conventional DTC is chosen thanks to its capability to develop the maximum of torque when the motor is standstill. However, the DTC produces a torque with high ripples and it is suffer from the flux demagnetization phenomenon, especially at low speed. To overcome these problems, two DTC approaches are proposed in this chapter: (1) the DTC based on the fuzzy logic and (2) the DTC based on space vector modulation (SVM) and proportional integral (PI) controllers (DTC-SVM-PI). The suggested approaches are implemented on a field programmable gate array (FPGA) Virtex 5 circuit in order to reduce the sampling period of the system and the delay in the control loop. The simulation and hardware implementation results demonstrate that the DTC-SVM-PI offers best the results in terms of ripples.
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S, Raja, and Ananthamoorthy N P. "MODELING AND DESIGN OF A LEVEL CONTROLLER SYSTEM USING THE ARTIFICIAL NEURAL NETWORK." In Futuristic Trends in Artificial Intelligence Volume 3 Book 1. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bfai1p2ch2.

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This article explains the design of Artificial Neural Network (ANN) based liquid level controllers System which is generally used in numerous control operations. The Artificial Neural Network (ANN) based controllers have a unique feature of learning. By way of learning the ANN gets the experience about the operational behavior of the plant under control. The experience obtained from training is stored in the synaptic weights. An ANN based controller may be trained with the data obtained from running the already designed Proportional Integral (PI) or the Proportional Integral Derivative (PID) controller. However, the dynamic performance of the ANN and the adaptability of the ANN based controller will be increased because of the adaptive nature and the interpolation and extrapolation capabilities of the ANN. Performances of different controllers were compared and ANN offers better performance than other controllers.
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Kannabiran, Kanimozhi, J. Booma, and S. Sathish Kumar. "Design of Novel Control Scheme for an Aquaponics System in Bioenvironment." In AI Approaches to Smart and Sustainable Power Systems. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1586-6.ch017.

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A recent study focused on the optimization of pH control in aquaponics systems by implementing various control strategies. Among the three approaches tested scheduled proportional-integral (PI) controller, nonlinear internal model controller (IMC), and H-Infinity Controller extensive simulations were conducted to assess their performance. The scheduled PI controller exhibited robustness in maintaining pH levels within the desired range under varying operating conditions. However, its performance was found to be slightly inferior to that of the Nonlinear IMC controller, which displayed superior adaptability to the local system dynamics, effectively handling nonlinearities in the pH regulation process. H-Infinity Controller showcased the most promising results, effectively minimizing the impact of uncertainties and disturbances on the pH regulation mechanism. Its robust control mechanism demonstrated remarkable stability and superior performance in maintaining the optimal pH levels for the aquaponics system. The findings provide insights for designing efficient control mechanisms .
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Babahajyani, P., F. Habibi, and H. Bevrani. "An On-Line PSO-Based Fuzzy Logic Tuning Approach." In Handbook of Research on Novel Soft Computing Intelligent Algorithms. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4450-2.ch020.

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Modern power systems require increased intelligence and flexibility in control and optimization. This issue is becoming more significant today due to the increasing size, changing structure, emerging renewable energy sources and Microgrids, environmental constraints, and the complexity of power systems. The control units and their associated tuning methods for modern power systems surely must be intelligent (based in flexible intelligent algorithms). This chapter addresses a new intelligent approach using a combination of fuzzy logic and Particle Swarm Optimization (PSO) techniques for optimal tuning of the existing most popular Proportional-Integral (PI) or Proportional-Integral-Derivative (PID) controllers in the power electric industry. In the proposed control strategy, the PI (PID) parameters are automatically tuned using fuzzy rules, according to the on-line measurements. In order to obtain an optimal performance, the PSO technique is used to determine the membership functions’ parameters. The proposed optimal tuning scheme offers many benefits for a new power system with numerous distributed generators and Renewable Energy Sources (RESs).In the developed tuning algorithm, the physical and engineering aspects have been fully considered. To demonstrate the effectiveness of the proposed control scheme, secondary frequency control problem in an islanded Microgrid (MG) system is considered a case study. The main source of power for a Microgrid is small generating units of tens of kW that are placed at the customer site. Simulation studies are performed to illustrate the capability of the proposed intelligent/optimal control approach.
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Roy, Biswapratim, Aritro Dey, and Jayati Dey. "Design of Sliding Mode Control Law for Quadrotor With Adaptive Super Twisting Algorithm." In AI and Blockchain Optimization Techniques in Aerospace Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1491-3.ch004.

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A nonlinear control law is designed for quadrotors that considers actuator saturation, external disturbance, and unknown parameter variations that affect the stability of quadrotors. The proposed robust control law is based on sliding mode control with adaptive super twisting algorithm (SMC-ASTA) and has the sliding surface based on proportional derivative (PD) structure of error while the super twisting algorithm inherits proportional integral (PI) properties. Additionally, the discontinuous control gain of SMC-ASTA law is tuned adaptively as functions of sliding surfaces along with an alternative approach of fuzzy logic tuning. The proposed SMC-ASTA demonstrates improved performance in contexts of dynamic stability, command tracking, and control effort compared to the conventional sliding mode control (CSMC). Asymptotic stability of the proposed SMC-ASTA is theoretically justified with Lyapunov-based stability analysis. Comparative analysis of SMC-ASTA in simulation with the conventional SMC demonstrates its superiority and suggests its suitability for practical applications.
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Conference papers on the topic "Proportional-integral (PI) control"

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Salem, Mariem Hadj, Yemna Bensalem, Karim Mansouri, and Mohamed Naceur Abdelkrim. "Control of Battery and Supercapacitor in Multi-Source Energy Systems Using Proportional-Integral (PI) Strategy." In 2024 IEEE International Multi-Conference on Smart Systems & Green Process (IMC-SSGP). IEEE, 2024. https://doi.org/10.1109/imc-ssgp63352.2024.10919792.

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Alathamneh, Mohammad, Haneen Ghanayem, Xingyu Yang, and R. M. Nelms. "Enhanced Power Control of Three-Phase Grid-Connected Inverters Using Proportional-Integral-Resonant Controller Under Unbalanced Conditions with a Comparative Analysis between PI and PR Controllers." In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2024. https://doi.org/10.1109/iecon55916.2024.10905624.

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Li, Mingrui, Douglas A. Allan, San Dinh, et al. "NMPC for Mode-Switching Operation of Reversible Solid Oxide Cell Systems." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.103553.

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Solid oxide cells (SOCs) are a promising dual-mode technology that generates hydrogen through high-temperature water electrolysis and generates power through a fuel cell reaction that consumes hydrogen. Reversible operation of SOCs requires a transition between these two modes for hydrogen production setpoints as the demand and price of electricity fluctuate. Moreover, a well-functioning control system is important to avoid cell degradation during mode-switching operation. In this work, we apply nonlinear model predictive control (NMPC) to an SOC module and supporting equipment and compare NMPC performance to classical proportional integral (PI) control strategies, while ramping between the modes of hydrogen and power production. While both control methods provide similar performance in many metrics, NMPC significantly reduces cell thermal gradients and curvatures (mixed spatial temporal partial derivatives) during mode switching. A dynamic process flowsheet of the reversible SOC system was developed in the open-source, equation-based IDAES modeling framework. Our IDAES dynamic simulation results show that NMPC can ramp the SOC system between hydrogen and power production targets within short mode switching times. Moreover, NMPC can comply with operating limits in the SOC system more effectively than PI, and only NMPC can directly enforce user-specified limits for mixed spatial temporal partial derivatives of temperature. This allows for management of the trade-off between operating efficiency and cell degradation, which is dependent on these temperature curvatures.
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Majhi, M. P. V. S., and C. Mahanta. "Fuzzy proportional integral - proportional derivative (PI-PD) controller." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1383938.

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Samara, Reni, Hera Hikmarika, Suci Dwijayanti, and Bhakti Yudho Suprapto. "Comparison of Inverted Pendulum Control System using Proportional – Integral – Derivative (PID) and Proportional – Integral (PI)." In 2019 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2019. http://dx.doi.org/10.1109/icecos47637.2019.8984451.

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Tiong, Teckchai, Ismail Saad, Kenneth Tze Kin Teo, and Herwansyah Bin Lago. "Process Proportional-Integral PI Control with Deep Reinforcement Learning." In 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2023. http://dx.doi.org/10.1109/ccwc57344.2023.10099286.

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Krajcin, Idriz, and Dirk So¨ffker. "Advanced Model-Based Disturbance Compensation Control Using Proportional-Integral-Observer." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84997.

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This contribution presents a state feedback control and a new disturbance compensation method using the Proportional-Integral-Observer (PI-Observer). For a suitable class of systems the observer estimates the unmeasured states as well as unknown inputs acting on a structure using a small number of measurements. Here, the observer is applied to elastic structures where the PI-Observer can be used for model-based diagnosis and control. An extended disturbance compensation is proposed to improve the dynamical behavior, to decouple the effect of disturbances on defined outputs using the PI-Observer. The observer and the control are applied to an all side clamped elastic plate. The performance of the control is illustrated by simulation results.
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Wang, ChunYang, Ying Luo, and YangQuan Chen. "Fractional order proportional integral (FOPI) and [proportional integral] (FO[PI]) controller designs for first order plus time delay (FOPTD) systems." In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5195105.

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Manjunath, Sreelakshmi, and Gaurav Raina. "Performance analysis of compound TCP with a Proportional Integral (PI) control policy." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162409.

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Srivastava, A. K., Dinesh Kumar, S. M. Tripathi, and P. K. Sen. "Comparative study of proportional-integral and proportional-integral-derivative (PI and PID) controllers for Z-source inverter-fed induction motor drive." In 2012 2nd International Conference on Power, Control and Embedded Systems (ICPCES). IEEE, 2012. http://dx.doi.org/10.1109/icpces.2012.6508120.

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