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作 者:高剑[1] 周旺 张文娟 黄守道[1] GAO Jian;ZHOU Wang;ZHANG Wenjuan;HUANG Shoudao(College of Electrical and Information Engineering,Hunan University,Changsha 410082,China;College of Electronic Information and Electrical Engineering,Changsha University,Changsha 410022,China)
机构地区:[1]湖南大学电气与信息工程学院,湖南长沙410082 [2]长沙学院电子信息与电气工程学院,湖南长沙410022
出 处:《湖南大学学报(自然科学版)》2021年第2期80-86,共7页Journal of Hunan University:Natural Sciences
基 金:国家基础研究项目(JCKY2019110D012)。
摘 要:针对内置式永磁同步电机(IPMSM)的最大转矩电流比控制(MTPA)受电机参数变化影响的问题,提出一种改进的自适应扰动观测的MTPA控制策略.该方法以定子电流矢量角作为扰动量,比较控制系统前后两个时刻的电流幅值大小,确定搜索方向.将自适应PI控制融入扰动观测法中,跟踪系统随机选择相应的扰动步长,解决动稳态性能,提高精度和系统运行效率,克服传统MTPA控制方法对电机参数依赖性、提高系统整体效率优化和电流矢量角搜索精度.考虑外界因素对电感和磁链等参数变化的影响,得到内置式永磁电机(IPMSM)dq轴下最优电流矢量角.仿真和试验结果表明,所提方法具有一定的有效性.Aiming at the problem that the Maximum Torque Per Ampere(MTPA)current control of the Interior Permanent Magnet Synchronous Motor(IPMSM)is affected by the change of motor parameters,this paper proposes an improved adaptive disturbance observation MTPA control strategy.This method uses the stator current vector angle as the disturbance,and compares the current amplitudes before and after the control system to determine the search direction.By integrating adaptive PI control into the disturbance observation method,the tracking system randomly selects the corresponding disturbance step length,thus this method solves the dynamic and steady-state performance,improves the accuracy and system operation efficiency,overcomes the traditional MTPA control method's dependence on motor parameters,and improves the overall efficiency of the system.In addition to the search accuracy of the current vector angle,this paper considers the influence of external factors on the changes of parameters such as inductance and flux linkage to obtain the optimal current vector angle under the dq axis of the built-in permanent magnet motor(IPMSM).The simulation and test results show the effectiveness of the proposed method.
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