A new robust tilt-PID controller based upon an automatic selection of adjustable fractional weights for permanent magnet synchronous motor drive control

Amieur, Toufik; Bechouat, Mohcene; Sedraoui, Moussa; Kahla, Sami; Guessoum, Hanni

doi:10.1007/s00202-020-01192-3

Cited by 8 publications

(7 citation statements)

References 24 publications

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“…For testing the controller, the tilted PID controller was applied to PMSM, and its performance and robustness were made a comparison with traditional PID control. The experiment showcases that the robustness and reduction of control energy of this control method are excellent [9].…”

Section: Related Workmentioning

confidence: 81%

“…The optimized variable domain theory improves the amplitude of current oscillations, the motor speed curve and motor torque curve have only slight overshooting, and the curve response is timely. The control optimization of the PMSM have shown significant improvement compared to the studies of Amieur T [9], Lazim M H [13] and others. It can be seen that ABC and GA as intelligent optimization algorithms play a key role in the optimization of PID control parameters.…”

Section: B Simulation Experiments Analysis Of Fuzzy Pid Cs In View Of...mentioning

confidence: 91%

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Permanent Magnet Motor Control System Based on Fuzzy PID Control

Sha,

Chen

2024

IJACSA

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Although the traditional permanent magnet synchronous motor control system is simple and convenient, the control of speed and accuracy is often affected by external interference, which impacts the dynamic and static performance requirements. Therefore, this study attempts to introduce fuzzy rules to improve the proportional integral differential control method, and further integrate intelligent optimization algorithms into the fuzzy proportional integral differential control method to construct an efficient and feasible permanent magnet synchronous motor control method. The simulation experiment demonstrates that under fuzzy proportional integral differential control, there is no overshoot in the waveform when facing changes in load, and the tuning time increases from 0.01 seconds to 0.12 seconds. The steady-state error of speed control is small, and there is no obvious oscillation in the waveform. Fuzzy control enhances the control system. After the optimization of the artificial bee colony algorithm, the control system has a faster speed response, with the overshoot diminished from 11.2% to 3.1%, and the adjustment time reduced from 0.27 seconds to 0.19 seconds, enhancing its adaptability. Under load regulation, the optimized control system speed response curve responds in a timely manner without obvious overshooting and oscillating changes. Optimizing variable universe fuzzy proportional integral differential control enables the control system for having better static and dynamic performance, and enhances the adaptability and follow-up of the control system. The current curve starts to stabilize at 0.04s, overcoming the control system oscillations early. The speed response curve and the motor torque curve are improved by the optimized variable domain theory, and the amount of overshoot is significantly reduced. The research and design of a permanent magnet motor control system has practical significance for improving the application performance and adaptability of permanent magnet motors.

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Section: Related Workmentioning

confidence: 81%

Section: B Simulation Experiments Analysis Of Fuzzy Pid Cs In View Of...mentioning

confidence: 91%

Permanent Magnet Motor Control System Based on Fuzzy PID Control

Sha,

Chen

2024

IJACSA

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“…where ωl and ωh are the ranges of low and high frequencies [16]. In this paper, frequency range is used as ω = [10 -3 ,10 3 ] rad/s and the 5 th order Oustaloup's recursive filter are utilized.…”

Section: Fractional Calculusmentioning

confidence: 99%

“…Nevertheless, the evidence from literature shows that the meta-heuristic methods have facilitated enormously the tuning of the constraints. These methods include genetic algorithm [16], particle swarm optimization [17], bacterial foraging optimization algorithm [18], artificial bee colony algorithm [19], multiobjective optimization design [20], cuckoo search algorithm [21], differential evolution [22], grasshopper optimization algorithm [23], chaotic particle swarm optimization [24] and Grey Wolf Optimization (GWO) [25]. This latter features easy implementation with fewer control parameters in order to adjust, and ensures fast convergence.…”

Section: Introductionmentioning

confidence: 99%

Novel and simplified model representing Current-Output Phase-Shift Full-Bridge DC-DC LCLC Resonant Converter in Arc Welding Application

Chaouch

Hasni

Boutaghane

et al. 2021

International Journal of Modelling and Simulation

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In this paper, a novel and simplified model representing Current-Output Phase-Shift Full-Bridge DC-DC LCLC resonant converter in arc welding application is thoroughly presented. Firstly, a switched model written in state space representation and featuring a bilinear form is proposed. The latter facilitates the derivation of both the reduced and full order averaged models in continuous conduction mode (ROAM and FOAM). Although the FOAM can be employed in linear or nonlinear control schemes and the derivation of steady state behavior, in this paper the ROAM is considered in designing both voltage mode control and current mode control by using the classical PID and the fractional order PID controllers. Simulation confirms that the switched model, ROAM and FOAM are quite accurate compared to the circuit simulation using SimPowerSystem toolbox of MATLAB/SIMULINK. Results clearly showed that depending on the switching frequency, the proposed topology can be applied either in constant voltage characteristic or dropped characteristic welding machines fulfilling either zero current Switching (ZCS) or zero voltage switching (ZVS). Besides, the fractional order PID controller seems to be more adapted for arc welding application than its traditional version.

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“…In this regard, Nicola and Nicola (2020) obtain superior performance where the outer rotor speed control loop of PMSM is chosen as the TID controller. Amieur et al , 2021 compare performance and robustness of T-PID with PID and FOPID controllers for the speed control of PMSM. They reveal the effectiveness of robust T-PID controller in terms of suppressing the sensor noises and unmodeled dynamics.…”

Section: Introductionmentioning

confidence: 99%

Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor

Çalgan

2021

COMPEL

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Purpose This study aims to design and implement a novel tilt integral sliding mode controller and observer for sensorless speed control of a permanent magnet synchronous motor (PMSM). Design/methodology/approach A control strategy combining the tilt integral derivative (TID) with sliding mode control (SMC) is proposed to determine the tilt integral sliding mode manifold. Using this manifold, tilt integral sliding mode controller (TISMC) and observer (TISMO) are designed. The stabilities are verified by using Lyapunov method. To prove the effectiveness and robustness of proposed methods, sensorless speed control of PMSM is performed for various operating conditions such as constant and variable speed references, load disturbance injection, parameter perturbation, whereas sensor noises are not taken into account. The performance of proposed method is compared with TID controller, proportional integral derivative controller and conventional SMO. Findings Simulation results demonstrate that TISMC and TISMO have better performance in all operating conditions. They are robust against parameter uncertainties and disturbances. TISM based sensorless control of PMSM is well guaranteed with superior performance. Originality/value The proposed method has not been tackled in the literature. By combining TID and SMC, novel tilt integral sliding manifold is presented and used in designing of the controller and observer. It is proven by Lyapunov method that errors converge to zero.

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A new robust tilt-PID controller based upon an automatic selection of adjustable fractional weights for permanent magnet synchronous motor drive control

Cited by 8 publications

References 24 publications

Permanent Magnet Motor Control System Based on Fuzzy PID Control

Permanent Magnet Motor Control System Based on Fuzzy PID Control

Novel and simplified model representing Current-Output Phase-Shift Full-Bridge DC-DC LCLC Resonant Converter in Arc Welding Application

Novel tilt integral sliding mode controller and observer design for sensorless speed control of a permanent magnet synchronous motor

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