广西师范大学学报(自然科学版) ›› 2026, Vol. 44 ›› Issue (4): 71-78.doi: 10.16088/j.issn.1001-6600.2025012001

• 物理与电子工程 • 上一篇    下一篇

参数未知永磁同步电机的自适应混沌同步控制

陶振卓1,2,3, 韦笃取1,2,3*   

  1. 1.广西类脑计算与智能芯片重点实验室(广西师范大学), 广西 桂林 541004;
    2.广西高校集成电路与微系统重点实验室(广西师范大学), 广西 桂林 541004;
    3.广西师范大学 电子与信息工程学院/集成电路学院, 广西 桂林 541004
  • 收稿日期:2025-01-20 修回日期:2025-03-03 出版日期:2026-07-05 发布日期:2026-07-01
  • 通讯作者: 韦笃取(1975—),男(壮族),广西贵港人,广西师范大学教授,博士。E-mail: weiduqu@gxnu.edu.cn
  • 基金资助:
    国家自然科学基金(62062014);广西自然科学基金(2021GXNSFAA220082)

Adaptive chaos synchronization of PMSM with unknown parameters

Tao Zhenzhuo1,2,3, Wei Duqu1,2,3*   

  1. 1. Guangxi Key Laboratory of Brain-inspired Computing and Intelligent Chips (Guangxi Normal University), Guilin Guangxi 541004, China;
    2. Guangxi Universities Key Laboratory of Integrated Circuits and Microsystems(Guangxi Normal University), Guilin Guangxi 541004, China;
    3. School of Electronic and Information Engineering/School of Integrated Circuits, Guangxi Normal University, Guilin Guangxi 541004, China
  • Received:2025-01-20 Revised:2025-03-03 Online:2026-07-05 Published:2026-07-01

摘要: 为解决具有未知系统参数、模型不确定性、外部干扰电机的混沌同步问题,本文提出一种新的鲁棒自适应同步控制策略,该策略由2部分控制器组成:第1部分为非线性鲁棒控制器,确保闭环系统的稳定性,展现出优良的鲁棒性和快速收敛特性;第2部分为非线性自适应律,利用估算的模型不确定性和界限来有效补偿外部干扰及模型不确定性。该策略结合自适应控制与参数辨识,通过实时估计系统的未知参数,使控制器能够在系统不确定性和扰动下实现高效同步。应用Lyapunov稳定性理论证明控制系统的全局渐近稳定性,表明该策略能在0.1 s内实现同步系统误差平滑收敛至零,且提升了系统的鲁棒性。最后通过仿真验证理论分析的正确性和有效性。

关键词: 永磁同步电机, 混沌同步, 参数估计, 自适应控制

Abstract: To solve the chaotic synchronization problem with unknown system parameters model uncertainty, and external disturbances,a new robust adaptive synchronization control strategy is proposed, which consists of two parts. Thefirst part is a nonlinear robust controller that ensures the stability of the closed-loop system and exhibits excellent robustness and fast convergence characteristics.The second part is a nonlinear adaptive law, which utilizes the estimated model uncertainty and bounds to effectively compensate for external disturbances and model uncertainty. The strategy combines adaptive control with parameter identification to enable the controller to achieve efficient synchronization under system uncertainties and perturbations by estimating the unknown parameters of the system in real time. The global asymptotic stability of the control system is proved by applying the Lyapunov stability theory, which shows that the strategy achieves the smooth convergence of the synchronization system error to zero within 0.1 s and improves the robustness of the system. Finally, the correctness and validity of the theoretical analysis are verified by simulation of the PMSM system.

Key words: permanent magnet synchronous motor (PMSM), chaotic synchronization, parameter estimation, adaptive control

中图分类号:  TM341; TP273

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