摘要
针对传统辨识算法结果不精确以及电机参数变化问题,提出了基于遗忘因子多新息随机梯度辨识算法。结合永磁同步电机系统电压方程,构建离散辨识模型。采用矢量控制方法控制电机,获得辨识模型输入输出数据,对转子电阻和电感参数进行在线辨识。仿真结果表明,该算法能够实现对永磁同步电机参数的辨识。
In view of the problem that the results of traditional identification algorithm are not accurate and parameters variation of motor, a new algorithm based on the forgetting factor multi-innovation stochastic gradient identification algo- rithm is proposed. Combined with permanent magnet synchronous motor (PMSM) system voltage equation, a discrete iden- tification model is constructed. By using vector control method, the input and output data of the identification model are ob- tained to identify the rotor resistance and inductance. The simulation results show that this identification algorithm can ob- tain the accurate parameters of the PMSM model.
出处
《微特电机》
北大核心
2016年第11期66-69,共4页
Small & Special Electrical Machines
基金
国家高技术研究发展计划项目(2013AA040405)
江苏省食品先进制造装备技术重点实验室项目(FM-201408)
江苏省"六大人才高峰"项目(WLW-008)
关键词
永磁同步电机
SVPWM矢量控制
遗忘因子
多新息随机梯度算法
参数辨识
permanent magnet synchronous motor (PMSM)
SVPWM vector control
forgetting factor
multi-innova-tion stochastic gradient algorithm
parameter identification