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Speed Control Improvement of Induction Machine Using Grey Wolf Optimization-Based Higher-Order Sliding Mode Load Torque Observer
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Navid Foruzandeh Hafeshjani1   , Mohammad Jafarifar *2 |
1- Department of Electrical Engineering, Dez. C., Islamic Azad University, Dezful, Iran, islamic azad university dezful branch
2- Department of Electrical Engineering, And. C., Islamic Azad University, Andimeshk, Iran , mohammad.jafarifar@iau.ac.ir |
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Abstract: (10 Views) |
Closed-loop speed control of induction machines has traditionally been implemented using PI controllers. However, in various applications of these machines, sudden load torque variations and changes in machine parameters during operation can significantly affect the performance of PI controllers, leading to unsatisfactory dynamic responses. To address this issue, this paper proposes a nonlinear control strategy combined with a PI controller and a High-Order Sliding Mode Control (HOSMC)-based load torque observer. In the proposed method, the load torque is estimated online by the observer, and the error between the actual and estimated load torque is compensated through the combined action of the PI controller and the nonlinear control strategy. Furthermore, to enhance the efficiency and robustness of the proposed approach, the controller parameters are optimally tuned using the Grey Wolf Optimization (GWO) algorithm, resulting in improved performance under various operating conditions. Simulation results obtained in the MATLAB environment demonstrate that the proposed method significantly enhances the control performance of the induction machine compared with conventional control approaches. |
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| Keywords: Induction Machine (IM), Induction Machine Drives, Load Torque Observer, Sliding Mode, Grey Wolf Optimization (GWO) Algorithm |
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Full-Text [PDF 1832 kb]
(5 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2025/12/4 | Accepted: 2026/02/4 | Published: 2026/03/1
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| * Corresponding Author Address: islamic azad university andimeshk branch |
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