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Academic literature on the topic 'IOPID CONTROLLER'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "IOPID CONTROLLER"

1

Puangdownreong, Deacha. "Fractional Order PID Controller Design for DC Motor Speed Control System via Flower Pollination Algorithm." ECTI Transactions on Electrical Engineering, Electronics, and Communications 17, no. 1 (2019): 14–23. http://dx.doi.org/10.37936/ecti-eec.2019171.215368.

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Over two decades, the fractional (non-integer) order PID (FOPID or PIλDµ ) controller was introduced and demonstrated to perform the better responses in comparison with the conventional integer order PID (IOPID). In this paper, the design of an optimal FOPID controller for a DC motor speed control system by the flower pollination algorithm (FPA), oneof the most efficient population-based metaheuristic optimization searching techniques, is proposed. Based on the modern optimization framework, five parameters of the FOPID controller are optimized by the FPA to meet the response specifications of the DC motor speed control system and defined as constraint functions. Results obtained by the FOPID controller are compared with those obtained by the IOPID designed by the FPA. As the simulation results show, the FOPID can provide significantly superior speed responses to the IOPID.
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2

Xin, Rui Hao, Chun Yang Wang, Xue Lian Liu, Ming Qiu Li, and Duan Yuan Bai. "Robust Fractional Order Proportional Integral Control for Large Time-Delay System." Applied Mechanics and Materials 716-717 (December 2014): 1614–19. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1614.

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In this paper, a new control method for large time delay system is proposed. Firstly, the decreasing time delay controller is used to remodel large delay time plant into small delay time plant. Then, a fractional robust proportional-integral controller (FOPI) is designed, using the phase margin and cut-off frequency at a specified point in the Bode plot of flat robust conditions, to guarantee the desired control performance and the robustness of the high order system to the gain order system. For comparison between the fractional order proportional integral controller and the traditional integer order PID (IOPID) controller, the IOPID controller is also designed following the same proposed tuning specifications. The simulation results indicates that the both designed controllers work efficiently. Furthermore, the FOPI controller makes the large time-delay system get better control effect, the system has high robustness, adaptive ability and anti-jamming ability.
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3

Zaway, Intissar, Rim Jallouli-Khlif, Boutheina Maaleja, Hanene Medhaffar, and Nabil Derbela. "Multi-objective Fractional Order PID Controller Optimization for Kid's Rehabilitation Exoskeleton." International Journal of Robotics and Control Systems 3, no. 1 (2022): 32–49. http://dx.doi.org/10.31763/ijrcs.v3i1.840.

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Fractional order Controllers have been used in several industrial cases to achieve better performance of the systems. This paper proposes a Fractional Order Proportional Integral Derivative (FOPID) controller. It is synthesized using Oustaloup approximation, and its parameters are tuned using the Genetic Algorithm (GA) optimization method. The aim is to minimize the error, the energy and the startup torques using two objective functions to improve the control performances and the robustness. The validity of the proposed controller is shown via simulation by controlling a two-link exoskeleton for children's gait rehabilitation, and the results are compared to an Integer order PID (IOPID) controller. Simulation results clearly indicate the superiority of the optimized FOPID in terms of trajectory tracking and the used torques. Moreover, the FOPID controller is tested with parameter uncertainties. Its robustness is proven against thigh and shank masses variation. Both controllers are simulated under the same frequency conditions using Simulink MATLAB R2018a.
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4

Junyi, Li, and Qijuan Chen. "Fractional Order Controller Designing with Firefly Algorithm and Parameter Optimization for Hydroturbine Governing System." Mathematical Problems in Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/825608.

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A fractional order PID (FOPID) controller, which is suitable for control system designing for being insensitive to the variation in system parameter, is proposed for hydroturbine governing system in the paper. The simultaneous optimization for several parameters of controller, that is,Ki,Kd,Kp,λ, andμ, is done by a recently developed metaheuristic nature-inspired algorithm, namely, the firefly algorithm (FA), for the first time, where the selecting, moving, attractiveness behavior between fireflies and updating of brightness, and decision range are studied in detail to simulate the optimization process. Investigation clearly reveals the advantages of the FOPID controller over the integer controllers in terms of reduced oscillations and settling time. The present work also explores the superiority of FA based optimization technique in finding optimal parameters of the controller. Further, convergence characteristics of the FA are compared with optimum integer order PID (IOPID) controller to justify its efficiency. What is more, analysis confirms the robustness of FOPID controller under isolated load operation conditions.
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5

Liu, Yi Duo, Chun Yang Wang, Ming Qiu Li, Cheng Jun Tian, and Duan Yuan Bai. "Fuzzy Fractional Order Proportional Integral Controllers for UAV Lateral Attitude Control System." Applied Mechanics and Materials 716-717 (December 2014): 1609–13. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.1609.

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This article is based on the theory of fractional calculus control, and put forward a kind of fractional order PI controller design method for lateral attitude control system of unmanned aerial vehicle (UAV) model. And the unit step response of the control system is analyzed in the simulation to improve the UAV flight control system stability and robustness. Use the controller parameter tuning method and combined with fuzzy reasoning to design IOPID controller, FOPI controller and fuzzy fractional order PI controller. Then, by exploiting Matlab, the frequency domain response and unit step response characteristics of the different control systems can be plotted. The results verified that the designed fuzzy fractional order controller for the attitude control system is effective.
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6

Cherian, Neenu Elizabeth, and K. Sundaravadivu. "Analytical Design of Fractional Order Proportional Integral Controller for Spherical Tank ." Applied Mechanics and Materials 573 (June 2014): 279–84. http://dx.doi.org/10.4028/www.scientific.net/amm.573.279.

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This paper presents an analytical design method for fractional order proportional integral (FOPI) controller for the spherical tank which is modelled as a first order plus dead time (FOPDT) process. The design is based on the Bode’s ideal transfer function and fractional calculus. By using frequency domain, the proposed FOPI tuning rules are directly derived for a generalized first order plus dead time process and then applied to the transfer functions obtained at various operating points of the spherical tank. The performance of the designed FOPI controller is compared with the conventional integer order proportional integral derivative (IOPID) controller in simulation.
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7

Shi, Lezhen, Xiaodong Miao, and Hua Wang. "An improved nonlinear proportional-integral-differential controller combined with fractional operator and symbolic adaptation algorithm." Transactions of the Institute of Measurement and Control 42, no. 5 (2019): 927–41. http://dx.doi.org/10.1177/0142331219879332.

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Parameter adjustment is usually applied for designing the proportional-integral-differential (PID) controllers. However, the ability to improve control performance by adjusting parameters is limited. Hence, with the goal to achieve ideal closed-loop response, this paper takes advantage of a structural optimization method for modifying the controller model. A symbolic adaptation algorithm for fractional order PID (FOPID) controller is employed to obtain precise nonlinear controller model. Firstly, a modeling comparison for nonlinear duffing system is carried out to highlight the efficiency of the symbolic adaptation algorithm. The case study indicates the proposed algorithm can establish compact dynamic models by amending the shortcomings of symbolic regression. Secondly, the proposed controller is restructured with the linear FOPID controller and its nonlinearity is increased by adjusting controllers’ components in symbolic form. The proposed controllers are simulated in an unstable second-order system, a time-delay system and a nonlinear VanderPol system. Compared with the IOPID and the FOPID controller, the symbolic adaptation algorithm improves the structural flexibility of these linear controllers. Meanwhile, the system response can better approximate the desired response and the structural integrity of the nonlinear controller model is guaranteed simultaneously. Finally, the nonlinear FOPD controllers for trajectory tracking experiments are carried out on a rotary inverted pendulum control system.
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8

Sowrirajan, CHANDRASEKARAN, DURAIRAJ Sundarraj, and PADMAVATHI S. "ENHANCING THE PERFORMANCE OF A PHOTOVOLTAIC-FED MULTILEVEL INVERTER USING A PI HYSTERESIS CONTROLLER." DYNA 97, no. 3 (2022): 321–28. http://dx.doi.org/10.6036/10262.

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In recent years, power quality has become almost as important in the renewable energy sector. Much of today's research is focused on resolving power quality issues. These issues are related to a voltage (sags, swells, distortions, and imbalances), system response speed, harmonics, ripples, and Electromagnetic Interference (EMI). Many researchers have recently been working on various controllers to address power quality issues. These articles primarily address power quality issues that arise as a result of system response time, harmonics, and torque ripples. This study will be used to improve the performance of a photovoltaic (PV) fed multilevel inverter. In the field of renewable energy systems, controllers have played a critical role. Proportional (P), Proportional-Integral (PI), and Proportional Integral Derivative (PID), Fractional Order PID (FOPID), and Integral Order PID (IOPID) controllers are used in renewable energy systems to improve power quality. In this study, the response of the PI controller will be measured, analyzed, and compared to the response of the PI hysteresis controller. Existing methods make use of a photovoltaic-fed multilevel inverter, a boost converter, a multilevel inverter, and a proportional-integral (PI) controller. As a load, a three-phase induction motor is used. A PI hysteresis controller is used in place of a traditional PI controller in the proposed system. For the PI Controller, the Experimental Hardware prototype model is designed and validated. Simulation designs for existing and proposed systems are carried out using MATLAB Simulink, and the results are noted and verified. Keywords: PI controller, Multilevel Inverter (MLI), boost converter, hysteresis controller, ripple reduction, Photovoltaic module.
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9

Chen, Hao, Wei Xie, Xiyang Chen, et al. "Fractional-Order PI Control of DFIG-Based Tidal Stream Turbine." Journal of Marine Science and Engineering 8, no. 5 (2020): 309. http://dx.doi.org/10.3390/jmse8050309.

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This study mainly investigates the current and speed control strategies of a doubly-fed induction generator (DFIG), which is applied to a tidal stream turbine (TST). Indeed, DFIG using integer-order PI (IOPI) controller has been widely proposed in the applications with a similar system, especially in wind energy conversion system (WECS). However, these conventional controllers cannot deal with the problems caused by the parameter variations satisfactorily under complex and harsh operation conditions, and may even deteriorate the performance. As a result, a fractional-order PI (FOPI) controller is considered to improve the efficiency and performance of DFIG-based TST in this paper. The FOPI controller, developed from the traditional IOPI controller and the fractional calculus theory, has a lot of prominent merits in many aspects, such as robustness, stability, and dynamic performance. In this paper, the proposed control strategies are embedded into the whole TST model which contains the tidal stream turbine, and the generator. The obtained simulation results demonstrate the prominent effectiveness and advantages of the proposed strategies compared with the conventional IOPI controller in terms of overshoot, static error, adjustment time, and robustness. It implies that FOPI controller could be a good candidate in TST applications.
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10

Abdulkader, Rasheed. "Controller Design based on Fractional Calculus for AUV Yaw Control." Engineering, Technology & Applied Science Research 13, no. 2 (2023): 10432–38. http://dx.doi.org/10.48084/etasr.5687.

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This research presents a fractional order integral controller strategy, which improves the steering angle for Autonomous Underwater Vehicles (AUVs). The AUV mathematical modeling is presented. A Fractional Order Proportional Integral (FOPI) control scheme is implemented to ensure the yaw angle stability of the AUV steering under system uncertainty. The FOPI controller is validated with MATLAB/Simulink and is compared to the conventional Integer Order PI (IOPI) controller to track the yaw angle of the structure. The simulation results show that the proposed FOPI controller outperforms the IOPI controller and improves the AUV system steering and the overall transient response while ensuring the system's stability with and without external disturbances such as underwater current and different loading conditions.
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