基于改进MRAS无位置传感器控制系统研究  

Research on Enhanced Model Reference Adaptive System(MRAS)for Sensorless Control Systems

作　　者：薛王琦 郭凯凯[1] 赵金涛 张乃峰 XUE Wangqi;GUO Kaikai;ZHAO Jintao;ZHANG Naifeng(College of Electrical and Information Engineering,Anhui University of Science and Technology,Huainan 232001,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001

出　　处：《电工技术》2024年第24期1-4,共4页Electric Engineering

摘　　要：针对模型参考自适应算法(MRAS)在永磁同步电机控制中存在控制精度低、动态性能较弱、收敛速度慢等问题,在传统的MRAS基础上提出一种参数自适应滑模变结构MRAS观测器。首先,设计了一种改进超螺旋滑模自适应律并代替传统MRAS的PI结构,从而提高系统动态性能和控制精度;其次,考虑到传统MRAS法的辨识精度易受电机参数变化的影响,提出一种能够对参数自适应的改进方法,在线辨识定子电阻以及磁链进一步提高系统的抗干扰能力。仿真结果表明,所设计的控制系统能有效提高动态性能以及转子位置的辨识精度,有效避免电机参数引起的误差问题。In response to the issues of low precision,weak dynamic performance,and slow convergence speed observed in the Model Reference Adaptive System(MRAS)for controlling Permanent Magnet Synchronous Motors(PMSMs),a parameter-adaptive sliding mode variable structure MRAS observer is proposed as an improvement upon the traditional MRAS framework.Firstly,an improved super-twisting sliding mode adaptive law is designed to replace the conventional Proportional-Integral(PI)structure of MRAS,thereby enhancing the system's dynamic performance and control precision.Secondly,considering the susceptibility of the conventional MRAS approach to variations in motor parameters,an enhanced method capable of parameter adaptation is introduced to further augment the system's disturbance rejection capability.Simulation results demonstrate that the designed control system effectively enhances dynamic performance and rotor position identification accuracy while successfully mitigating errors caused by variations in motor parameters.

关 键 词：永磁同步电机 无位置传感器 模型参考自适应算法 

分 类 号：TM341[电气工程—电机]