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Добірка наукової літератури з теми "IOPID CONTROLLER"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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Статті в журналах з теми "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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Анотація:

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

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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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Анотація:

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 integ

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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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Анотація:

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 f

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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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Анотація:

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 optimizatio

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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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Анотація:

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 resp

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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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Анотація:

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 i

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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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Анотація:

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 t

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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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Анотація:

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 t

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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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Анотація:

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

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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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Анотація:

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

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