广东工业大学 自动化学院,广东,广州,510006
谷爱昱(1970–) ,女,副教授,博士,主要研究方向为电机及其系统控制,E-mail:guay@gdut.edu.cn
纸质出版:2024
移动端阅览
谷爱昱, 庞城洁, 黎家麟, 陈志凯, 孟洋. 基于非线性干扰观测器的IPMSM改进无模型滑模控制[J]. 广东工业大学学报, 2024, 41(5): 13-21.
Gu Ai-yu, Pang Cheng-jie, Li Jia-lin, et al. Improved Model-free Sliding Mode Control of Interior Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer[J]. 2024, 41(5): 13-21.
谷爱昱, 庞城洁, 黎家麟, 陈志凯, 孟洋. 基于非线性干扰观测器的IPMSM改进无模型滑模控制[J]. 广东工业大学学报, 2024, 41(5): 13-21. DOI: 10.12052/gdutxb.230078.
Gu Ai-yu, Pang Cheng-jie, Li Jia-lin, et al. Improved Model-free Sliding Mode Control of Interior Permanent Magnet Synchronous Motor Based on Nonlinear Disturbance Observer[J]. 2024, 41(5): 13-21. DOI: 10.12052/gdutxb.230078.
针对内置式永磁同步电机参数摄动导致模型不确定而影响系统控制性能的问题,提出一种基于非线性干扰观测器的内置式永磁同步电机改进无模型滑模控制方法。首先,建立考虑参数摄动的内置式永磁同步电机(Interior Permanent Magnet Synchronous Motor
IPMSM) 新型超局部模型;其次,利用改进滑模趋近律设计滑模控制器作为无模型控制中的反馈控制器;然后,设计非线性干扰观测器来观测估计无模型控制中的未知复杂项;最后,与传统无模型滑模控制方法进行仿真实验对比。仿真实验结果证明所提方法能有效解决系统参数摄动影响电机控制性能等问题,验证了所提方法的有效性及优越性。
In order to address the problem that the parameter perturbation of interior permanent magnet synchronous motor leads to model uncertainty and affects the system control performance
an improved model-free sliding mode control method for interior permanent magnet synchronous motor based on nonlinear disturbance observer is proposed. Firstly
a new hyperlocal model of IPMSM considering parameter perturbation is established. Secondly
a sliding mode controller is designed as a feedback controller in model-free control by using the improved sliding mode reaching law. Then a nonlinear disturbance observer is designed to observe and estimate the model-free Unknown complex items in the control. Finally
a simulation comparison experiment is carried out with the traditional model-free sliding mode control method. The simulation experiment results prove that the proposed method can effectively solve the problems of system parameter perturbation affecting the motor control performance
with the effectiveness and superiority of the proposed method verified.
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