重庆理工大学学报2024，Vol.38Issue(15)：48-54,7.DOI:10.3969/j.issn.1674-8425(z).2024.08.005
猎豹算法优化的车用PMSM控制策略研究
Research on control strategy of automotive PMSM optimized based on cheetah optimizer
摘要
Abstract
To address the slow motor response speed and insufficient anti-interference ability,this paper studies the control technology based on PI controller.First,a permanent magnet synchronous motor vector control model is built based on the principle of vector control.Second,to improve the dynamic performance of the control system in response to speed changes,a fuzzy PI speed controller is designed based on the principle of fuzzy control,which increases the system's response speed.Then,a smart control strategy based on the combination of the Leopard algorithm and fuzzy PI is proposed to address the subjectivity in the process of fuzzy control design and the difficulty in selecting controller parameters under different operating conditions for system parameter matching.Finally,relevant models are built and simulated in MATLAB/Simulink.Our simulation results show the Leopard algorithm quickly obtains the optimal parameters of the fuzzy PI controller and achieves a faster motor speed response with stronger anti-interference ability,enabling the control system to deliver better dynamic performances.关键词
永磁同步电机/矢量控制/模糊控制/猎豹优化算法/Matlab/SimulinkKey words
permanent magnet synchronous motor/vector control/fuzzy control/cheetah optimizer algorithm/Matlab/Simulink分类
信息技术与安全科学引用本文复制引用
乔月阳,王靖岳,李浩,王哲..猎豹算法优化的车用PMSM控制策略研究[J].重庆理工大学学报,2024,38(15):48-54,7.基金项目
辽宁省自然科学基金项目(2020-MS-216) （2020-MS-216）
