重庆邮电大学学报（自然科学版）2025，Vol.37Issue(4)：554-564,11.DOI:10.3979/j.issn.1673-825X.202401220019
基于RBF-PID的永磁同步电动机自适应速度控制策略研究
Research on adaptive speed control strategy of permanent magnet synchronous motor based on RBF-PID
摘要
Abstract
Permanent magnet synchronous motor(PMSM),known for their compact size and high-power density,is widely used in fields such as electric vehicles and servo drives.However,traditional PID control methods for PMSM cannot dynam-ically adjust parameters according to varying operating conditions.To address this issue,this paper proposes a PID control method based on a radial basis function(RBF)neural network,which adaptively tunes the PID controller parameters.First,an offline RBF neural network with optimal structural parameters is trained using the current and speed data of the PMSM,and then employed to construct the RBF-PID controller.During online training,the Jacobian information calculated via the RBF neural network is used to adaptively adjust the PID parameters.Simultaneously,the structural parameters of the RBF network are updated in reverse based on the error between the predicted and reference speed values.Finally,numeri-cal simulations and experiments in the context of electric vehicle drive control show that the maximum speed errors of the SMC controller and the RBF-PID controller are 1.97 km/h and 0.17 km/h,respectively.Moreover,the RBF-PID controller outperforms both the SMC and traditional PID controllers in handling sudden speed changes.关键词
永磁同步电机/RBF-PID控制/电动汽车Key words
permanent magnet synchronous motor(PMSM)/RBF-PID control/electric vehicle分类
信息技术与安全科学引用本文复制引用
孙惠娟,邓聪颖,舒杰..基于RBF-PID的永磁同步电动机自适应速度控制策略研究[J].重庆邮电大学学报（自然科学版）,2025,37(4):554-564,11.基金项目
重庆市自然科学基金项目(CSTB2022NSCQ-MSX1029) （CSTB2022NSCQ-MSX1029）
重庆市教育委员会科学技术研究计划青年项目(KJQN202203204) （KJQN202203204）
重庆工业职业技术学院博士科研基金项目(2023GZYBSZK2-06) Chongqing Natural Science Foundation(CSTB2022NSCQ-MSX1029) （2023GZYBSZK2-06）
Scientific and Technological Research Pro-ject of Chongqing Municipal Education Commission(KJQN202203204) （KJQN202203204）
Doctoral Fund of Chongqing Industry Polytechnic College(2023GZYBSZK2-06) （2023GZYBSZK2-06）
