摘要
在采用无速度传感器控制的内埋式永磁同步电机(IPMSM)驱动周期性脉动负载调速系统中,为了精确地估算转子转速的脉动,提出了一种改进的转子转速估算方法。驱动系统采用转子磁场定向矢量控制和基于模型参考自适应系统(MRAS)的转子位置估算作为其基本的控制策略。通过JMAG软件对电机进行电磁场分析,得到了基于有限元方法的变参数电机模型,进而确定了随电机相电流和转子位置变化的电机参数值,将这些变化的参数嵌入到模型参考自适应系统(MRAS)中以提高转速估算的精度。同时,本文对电机输出转矩还采用了前馈补偿策略以匹配周期性脉动负载来减小转速脉动。通过实验验证了所提出方法的可行性与有效性,实验结果表明,在脉动负载条件下该改进方法能够大幅降低转子实际转速与估算转速之间的误差。
In order to estimate the rotor speed of interior permanent magnet synchronous motor (IPMSM) with sensorless control under cyclic fluctuating load accurately, an improved rotor speed estimation method is proposed. A rotor flux oriented vector control with conventional model reference adaptive system (MRAS) based rotor position/speed estimation is employed as the basic control strategy for IPMSM drive. The finite element method (FEM)-based varying parameter model oflPMSM is built by magnetic field analysis in JMAG software to obtain motor parameter variations caused by different phase currents and rotor positions. These motor parameter variations are used in MRAS for precise rotor speed estimation. Furthermore, several motor output torque patterns matching the cyclic fluctuating load with feed-forward compensation strategy are developed to lower the speed ripple. The experimental results demonstrate the feasibility and effectiveness of the proposed control methods, which shows that the error between actual speed fluctuation band and estimated speed fluctuation band is limited within a very low level.
出处
《电工技术学报》
EI
CSCD
北大核心
2013年第7期96-102,共7页
Transactions of China Electrotechnical Society
关键词
内埋式永磁同步电机
周期性脉动负载
模型参考自适应系统
有限元方法
变参数电机模型
Interior permanent magnet synchronous motor(IPMSM), cyclic fluctuating load, model reference adaptive system(MRAS), finite element method(FEM), varying parameter motor model