基于改进猴群算法优化ADRC的PMSM矢量控制策略  

Improved monkey algorithm optimizes ADRC vector control strategy of PMSM

作　　者：易灵芝[1] 王艺皓 李旺 陈章 李进泽 YI Lingzhi;WANG Yihao;LI Wang;CHEN Zhang;LI Jinze(College of Automation and Electronic Information,Xiangtan University,Xiangtan 411105,China;State Key Laboratory of System Integration for High-Power AC Drive Electric Locomotives,Zhuzhou 412001,China;Zhuzhou Electric Motor Co Ltd,Zhuzhou 412001,China)

机构地区：[1]湘潭大学自动化与电子信息学院,湖南湘潭411105 [2]大功率交流传动电力机车系统集成国家重点实验室,湖南株洲412001 [3]中车株洲电机有限公司,湖南株洲412001

出　　处：《传感器与微系统》2022年第11期52-56,共5页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61572416);湖南省自然科学基金资助项目(2020K0106)。

摘　　要：针对电动汽车控制系统对参数高度敏感而影响系统鲁棒性和控制精度的问题,提出了一种改进猴群算法(IMA)优化改进型自抗扰控制(ADRC)的永磁同步电机(PMSM)控制策略。首先,在原有Fal(e,α,δ)函数的基础上利用差值拟合法构造出新型最优控制函数,改善了ADRC在Fal(e,α,δ)函数拐点处存在输出信号抖动、抗扰动性较差的问题。其次,使用IMA对ADRC进行参数优化,降低了电机控制系统对内部参数的依赖,显著提升了电机的鲁棒性。最后通过仿真和实验证明了该方法的有效性。Aiming at the problem that control system of electric vehicles is highly sensitive to parameters and affects robustness and control precision of system, a permanent magnet synchronous motor(PMSM)control strategy with improved active disturbance rejection control(ADRC)optimized by improved monkey algorithm(IMA)algorithm is proposed.Firstly, this method uses the difference fitting method to construct a new optimal control function on the basis of original Fal(e,α,δ)function, which obviously improves the problem of output signal jitter and poor anti-disturbance of ADRC at inflection point of the Fal(e,α,δ)function.At the same time, the IMA is used to optimize the parameters of ADRC,which reduces dependence of the motor control system on internal parameters and significantly improves the robustness of motor.The effectiveness of the method is proved by simulation and experiment.

关 键 词：永磁同步电机 自抗扰控制 猴群算法 混沌搜索 正弦余弦机制 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TM341[自动化与计算机技术—计算机科学与技术]