Paper
1 December 2023 Model predictive torque control of brushless DC motor based on improved whale optimization algorithm
Ye Yuan, Cheng Liu, Yunbo Wu, Yapeng Li, Yecheng Liu, Ping Yang
Author Affiliations +
Proceedings Volume 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023); 1294016 (2023) https://doi.org/10.1117/12.3010608
Event: Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 2023, Sipsongpanna, China
Abstract
For the adjustment and design of weight factors in the model predictive torque control (MPTC) of brushless DC motor (BLDCM) is too tedious and full of uncertainties. In this paper, a modified whale optimization algorithm (IWOA) is utilized to de-regulate the parameter weight factors in real time. The algorithm incorporates chaotic mapping and greedy selection strategies, where chaotic mapping enables the algorithm to achieve population diversity in the initial stage, and greedy selection strategy enables the algorithm to update the local in the case of falling into a local optimum, making the algorithm more capable of finding the best and more accurate in optimizing MPTC. In order to verify whether the proposed approach can reduce the speed error and torque fluctuation, by modeling and conducting simulations to verify the torque and speed of the motor, and taking into account the switching frequency loss factor, the results show that the torque pulsation is further reduced, and the speed error is further reduced in the proposed approach compared to other intelligent algorithms, confirming the effectiveness of the proposed approach.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ye Yuan, Cheng Liu, Yunbo Wu, Yapeng Li, Yecheng Liu, and Ping Yang "Model predictive torque control of brushless DC motor based on improved whale optimization algorithm", Proc. SPIE 12940, Third International Conference on Control and Intelligent Robotics (ICCIR 2023), 1294016 (1 December 2023); https://doi.org/10.1117/12.3010608
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KEYWORDS
Switching

Mathematical optimization

Detection and tracking algorithms

Error analysis

Simulations

Control systems

Motion models

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