Improved H<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e175" altimg="si14.svg"><mml:mi>∞</mml:mi></mml:math> repetitive controller for current harmonics suppression of PMSM control system

Yuan, Tianqing; Zhang, Yupeng; Chang, Jiu; Wang, Dazhi; Liu, Zhen

doi:10.1016/j.egyr.2022.08.090

Cited by 3 publications

(1 citation statement)

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“…The robust control algorithm has also been applied in motor control. An improved infinite norm (H∞) strategy was proposed in [19], and the improved controller can reduce the torque ripple and improve the dynamic response performance.…”

Section: Introductionmentioning

confidence: 99%

Research on the Current Control Strategy of a Brushless DC Motor Utilizing Infinite Mixed Sensitivity Norm

Yuan,

Chang,

Zhang

2023

Electronics

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During the brushless DC (BLDC) motor working process, the system encounters inevitable uncertainties. These ambiguities stem from potential fluctuations, random occurrences, measurement inaccuracies, varying operational conditions, environmental shifts such as temperature alterations, among other factors. Uncertainties, an inherent aspect of any real control system, can be broadly classified into two categories: sensor signal uncertainties and discrepancies between the mathematical and actual models due to parameter perturbations. To mitigate the impact of sensor noise and parameter perturbations on the BLDC motor, a robust control strategy utilizing infinite norm mixed sensitivity based on PI control strategy (PI-H∞-MIX) is proposed in this paper. Firstly, the closed-loop control structure and transfer function model of the BLDC motor control system current loop are analyzed based on the current loop circuit topology, and then, the model parameters perturbation is analyzed, and the multiplicative uncertainty bound is given. In addition, the appropriate weighting function is selected to ensure the robustness of the system. In this case, the controller design problem is transformed into the H∞ standard control problem, and then, the system augmentation matrix is established, and the controller is solved by Matlab/Simulink. Finally, the performances of the traditional PI control strategy and the PI-H∞-MIX are compared and analyzed. The results show that (1) the proposed PI-H∞-MIX strategy can improve the control system robustness under the parameter perturbation condition effectively, and (2) the proposed PI-H∞-MIX strategy can suppress the noise signal of the sensor.

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Section: Introductionmentioning

confidence: 99%

Research on the Current Control Strategy of a Brushless DC Motor Utilizing Infinite Mixed Sensitivity Norm

Yuan,

Chang,

Zhang

2023

Electronics

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Research on complex vector quasi-resonant control methods for permanent magnet synchronous motor

2023

Energy Reports

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Speed Regulation for PMSM with Super-Twisting Sliding-Mode Controller via Disturbance Observer

Ahn

Chung

et al. 2023

Mathematics

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This paper focuses on the speed regulation of a permanent-magnet synchronous motor (PMSM) with an uncertain extended load disturbance. A novel super-twisting sliding-mode control (NSTSMC) was proposed via a nonlinear integral sliding surface and a modified reaching law, effectively suppressing the chattering phenomenon. In addition, the NSTSMC can improve the convergence performance with a 0.04 s settling time, satisfying the super-twisting algorithm stability condition. For the novel integral sliding surface, the integral power term of the system state variables was incorporated into the conventional sliding surface to effectively improve the convergence rate and anti-disturbance ability. Moreover, an extended sliding-mode disturbance observer (ESO) was used to estimate the lumped extended disturbance and add the corresponding feedback compensation value from the sliding-mode disturbance observer to the output of the speed controller for the improved robustness of the system. The ESO-NSTSMC was developed to improve the performance of PMSM speed regulation by combining the advantages of the novel integral sliding surface, achieving a settling time of 0.01 s without overshoot. We confirm the performance of the proposed NSTSMC through a PMSM speed simulation and demonstrate that the controller can enhance the dynamic performance and robustness of the system.

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Improved H∞ repetitive controller for current harmonics suppression of PMSM control system

Cited by 3 publications

References 4 publications

Research on the Current Control Strategy of a Brushless DC Motor Utilizing Infinite Mixed Sensitivity Norm

Research on the Current Control Strategy of a Brushless DC Motor Utilizing Infinite Mixed Sensitivity Norm

Research on complex vector quasi-resonant control methods for permanent magnet synchronous motor

Speed Regulation for PMSM with Super-Twisting Sliding-Mode Controller via Disturbance Observer

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