Design of a Robust Controller for Induction Motor Drive Systems Based on Extendable Fuzzy Theory

Kuei-Hsiang Chao () and Cheng-Lung Chang
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Kuei-Hsiang Chao: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan
Cheng-Lung Chang: Department of Electrical Engineering, National Chin-Yi University of Technology, Taichung 41170, Taiwan

Mathematics, 2024, vol. 12, issue 20, 1-20

Abstract: In this paper, an extendable fuzzy robust speed controller suitable for induction motor drive systems was proposed. Firstly, the two-degrees-of-freedom (2DOF) robust control technology with feedforward control and disturbance elimination method was adopted. Upon parameter variation and load disturbance, the motor drive system could utilize a robust controller to generate compensation signals and reduce the impact on the controlling performance of the motor drive system. The magnitude of the compensation signal was adjusted via the weighting factor. However, should a fixed weighting factor be adopted, system instability might be generated easily when time delay and saturation of control force occur. Based on the above, the smart method of extendable fuzzy theory (EFT) was adopted in this paper to adjust adequate weighting factors, where the controlling performance of the induction motor drive system could be improved accordingly. Lastly, the simulation software Matlab/Simulink (R2023b version) was applied to simulate the utilization of the controlling method proposed for the induction motor drive system. The simulation results proved that the extendable fuzzy robust speed controller proposed provided better speed tracking and load regulation-controlling performance than the conventional robust controller.

Keywords: induction motor drive system; two-degrees-of-freedom controller; robust controller; extendable fuzzy theory; weighting factor (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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