摘要
提出一种基于改进的平方根无迹Kalman滤波(SRUKF)算法以降低在有干扰情况下的电机转速误差.在仿真实验中加入干扰影响电机运行,利用电机的d-q轴电流、电角速度和转子位置等信息预测电机转速值,用改进的算法控制转速以降低干扰对电机转速产生的误差,并与传统无迹Kalman滤波算法进行对比.结果表明,该算法的系统运算量更少,算法控制的有干扰电机转速比没有干扰的真实值误差更小,具有更好的鲁棒性.
We proposed an improved square root unscented Kalman filtering(SRUKF)algorithm to reduce motor speed error in the presence of interference.The interference was added to affect the motor operation in simulation experiments,we used information such as d-q axis current,electrical angular velocity,and rotor position of the motor to predict the motor speed value,and used improved algorithms to control the speed to reduce the error caused by interference on the motor speed.Compared it with the traditional unscented Kalman filtering algorithm.The results show that the algorithm has less system operation,and the error of the interfered motor speed controlled by the algorithm is smaller compared to the true value without interference,and it has better robustness.
作者
王宏志
徐硕
吕洪武
胡黄水
兰淼淼
WANG Hongzhi;XU Shuo;L Hongwu;HU Huangshui;LAN Miaomiao(School of Computer Science and Engineering,Changchun University of Technology,Changchun 130012,China)
出处
《吉林大学学报（理学版）》
CAS
北大核心
2023年第6期1476-1483,共8页
Journal of Jilin University:Science Edition
基金
吉林省自然科学基金(批准号:20210201051GX)
吉林省教育厅科学技术研究项目(批准号:JJKH20220686KJ)。
关键词
永磁同步电机
平方根无迹Kalman滤波
转速控制
抗干扰
permanent magnet synchronous motor
square root unscented Kalman filtering
speed control
anti-interference
