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Volume 14
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic

by
Xueyan Wang
1,
Zhijun Ou
1,
Fobao Zhou
1,
Hang Zhao
1 and
Yiming Ma
2,*
1
Robotics and Autonomous Systems Thrust, The Hong Kong University of Science and Technology (Guangzhou), Guuangzhou 511453, China
2
CSG PGC Energy Storage Research Institute, China Southern Power Grid Co. Ltd., Guangzhou 511499, China
*
Author to whom correspondence should be addressed.
Machines 2026, 14(1), 55; https://doi.org/10.3390/machines14010055 (registering DOI)
Submission received: 26 November 2025 / Revised: 18 December 2025 / Accepted: 29 December 2025 / Published: 1 January 2026
(This article belongs to the Special Issue Diagnosis of Sensor Failure in Induction Motor Drives)
Versions Notes

Abstract

Model predictive control (MPC) has become an attractive solution for doubly fed induction motors (DFIMs) due to its fast dynamic response and multi-variable constraint handling capability. However, the performance of conventional MPC relies on the accuracy of the system model. To further enhance the control performance and adaptability, this paper proposes a fuzzy logic-based model predictive control (FL-MPC) strategy. The proposed method continuously monitors the current tracking errors and their rates of change, utilizing a fuzzy inference system to dynamically optimize the weight distribution within the predictive model. This enables the controller to autonomously adjust its behavior for optimal performance across a wide range of operating conditions. Both simulation and experimental results demonstrate that, compared to the conventional MPC, the proposed FL-MPC strategy achieves superior dynamic response.
Keywords: fuzzy logic; model predictive control; doubly fed induction motors fuzzy logic; model predictive control; doubly fed induction motors

Share and Cite

MDPI and ACS Style

Wang, X.; Ou, Z.; Zhou, F.; Zhao, H.; Ma, Y. Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic. Machines 2026, 14, 55. https://doi.org/10.3390/machines14010055

AMA Style

Wang X, Ou Z, Zhou F, Zhao H, Ma Y. Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic. Machines. 2026; 14(1):55. https://doi.org/10.3390/machines14010055

Chicago/Turabian Style

Wang, Xueyan, Zhijun Ou, Fobao Zhou, Hang Zhao, and Yiming Ma. 2026. "Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic" Machines 14, no. 1: 55. https://doi.org/10.3390/machines14010055

APA Style

Wang, X., Ou, Z., Zhou, F., Zhao, H., & Ma, Y. (2026). Model Predictive Control of Doubly Fed Induction Motors Based on Fuzzy Logic. Machines, 14(1), 55. https://doi.org/10.3390/machines14010055

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