Paper
14 February 2022 SRM DITC based on adaptive fuzzy terminal sliding mode control
Lai Jiang, Juan Chen, Chaoyang Chen
Author Affiliations +
Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121611H (2022) https://doi.org/10.1117/12.2627119
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China
Abstract
In this paper, a new sliding mode control strategy is proposed to be applied to the direct instantaneous torque control (DITC) of SRM. Based on the terminal sliding mode control, the load torque estimation value is added to the control law to improve the anti-interference ability of the system, and the controller parameters are adjusted online through the fuzzy control strategy to sup-press the torque ripple caused by SRM in the dynamic process, Finally, the convergence characteristics of the system are analyzed by Lyapunov stability theory. In order to verify the effectiveness of the system, simulation experiments are carried out in MATLAB/Simulink. The results show that the controller mentioned in this paper has good dynamic characteristics. While ensuring the response speed, it can well suppress the torque ripple when the motor starts and the given parameters change, sup-press the rising trend of current, and optimize the operation state of SRM.
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Lai Jiang, Juan Chen, and Chaoyang Chen "SRM DITC based on adaptive fuzzy terminal sliding mode control", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121611H (14 February 2022); https://doi.org/10.1117/12.2627119
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KEYWORDS
Control systems

Nonlinear control

Adaptive control

Device simulation

Electromagnetism

Inductance

Neural networks

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