论文:2019,Vol:37,Issue(4):824-829
引用本文:
陈哲, 薛钊, 方海伊, 骆光照. 基于自适应逆控制的永磁同步电机调速系统[J]. 西北工业大学学报
CHEN Zhe, XUE Zhao, FANG Haiyi, LUO Guangzhao. Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method[J]. Northwestern polytechnical university

基于自适应逆控制的永磁同步电机调速系统
陈哲, 薛钊, 方海伊, 骆光照
西北工业大学 自动化学院, 陕西 西安 710072
摘要:
针对永磁同步电机的反馈控制方法要兼顾系统动态性和抗扰性需求,在双闭环的矢量控制中采用具有扰动消除环节的自适应逆控制方法,能够避免系统的不稳定现象,提高系统的抗扰性能。首先,转速环采用基于前馈控制的自适应逆控制器,通过归一化的最小均方滤波算法使得转速误差能够快速收敛,并通过在线修正控制器权值,得到近似线性化的被控对象的逆模型。其次,为了抑制和消除电机参数摄动和外部扰动对系统的影响,采用扩张状态观测器对系统的扰动进行观测并补偿,同时提高系统动态性能和抗扰性能。最后,通过实验和仿真验证了所提方法的有效性。
关键词:    永磁同步电机    自适应逆控制器    归一化最小均方滤波    扩张状态观测器   
Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method
CHEN Zhe, XUE Zhao, FANG Haiyi, LUO Guangzhao
School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
The classical feedback control method for the permanent-magnet synchronous motor cannot fulfill the dynamic requirement and anti-interference requirement at the same time. In this paper, an adaptive inverse control method with disturbance elimination is proposed based on the vector control including speed and current loops. It avoids the system instability and the anti-disturbance performance of the system can be enhanced as well. Firstly, the speed loop adopts the adaptive inverse controller possessing a feed forward control structure, and a normalized least-mean square filtering algorithm accelerates the speed error convergence. The inverse model of the approximately linearized system is obtained by modifying the weighting factor online. Secondly, in order to suppress and eliminate the influence of motor parameter perturbation and external disturbance on the control system, an extended state observer is designed to observe and compensate the disturbance of the system. Thus, the dynamic performance and anti-disturbance performance of the system can be improved simultaneously. Finally, the effectiveness of the proposed method is verified by experiment and simulation.
Key words:    permanent magnet synchronous motor    adaptive inverse controller    normalization of least mean square filtering    extended state observer    vector control    anti-disturbance    stability   
收稿日期: 2018-09-15     修回日期:
DOI: 10.1051/jnwpu/20193740824
基金项目: 国家自然科学基金(51707161)、陕西省自然科学基础研究计划(2018JQ5187)、中央高校基本科研业务费(31020170QD029)和西安市科协2017人才托举计划资助
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作者简介: 陈哲(1986-),西北工业大学副教授、博士,主要从事永磁电机无位置传感器控制和预测控制研究。
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