基于状态约束的PMSM随机系统模糊自适应控制  

Fuzzy Adaptive Control of PMSM Stochastic System Based on State Constraints

作　　者：蒋祺 崔英英 于金鹏[1] 于海生[1] JIANG Qi;CUI Ying-ying;YU Jin-peng;YU Hai-sheng(School of Automation,Qingdao University,Qingdao 266071,China;Department of Electrical and Automation,Shandong Labor Vocational and Technical College,Jinan 250022,China)

机构地区：[1]青岛大学自动化学院,山东青岛266071 [2]山东劳动职业技术学院电气及自动化系,山东济南250022

出　　处：《控制工程》2021年第2期222-228,共7页Control Engineering of China

基　　金：国家重点研发计划项目(2017YFB1303503);国家自然科学基金项目(61973179);泰山学者工程专项经费资助项目(TSQN 20161026)。

摘　　要：针对永磁同步电机在实际运行过程中会产生随机扰动,以及电机状态量在传统的反步法中不能被约束的问题,提出了一种考虑状态约束和随机扰动的模糊自适应反步方法对永磁同步电机随机系统进行位置跟踪控制。引入障碍李雅普诺夫函数约束电机系统的状态量;采用模糊逻辑控制方法处理电机模型中的随机非线性函数。仿真结果表明,提出的控制方法可以克服随机扰动的影响,快速跟踪目标信号,并且能够确保电机系统的状态量在给定的约束空间内。In order to solve the problem that the permanent magnet synchronous motor(PMSM)produces random disturbance in the actual operation process,and the motor state can not be constrained in the traditional backstepping method,a fuzzy adaptive backstepping method considering state constraints and stochastic disturbances is proposed for the position tracking control of PMSM stochastic systems.The barrier Lyapunov function(BLF)is introduced to constrain the state of PMSM.Fuzzy logic control method is used to deal with the stochastic nonlinear function in the motor model.The simulation results show that the proposed control method can overcome the influence of stochastic disturbance,track the target signal quickly,and ensure that the state of the motor system is in the given constraint space.

关 键 词：随机非线性系统 状态约束 障碍李雅普诺夫函数 永磁同步电机 

分 类 号：TM341[电气工程—电机]