用于SPMSM的自适应增量式无差拍预测电流控制算法

Adaptive incremental deadbeat predictive current control algorithm for surface-mounted permanent magnet synchronous motor

针对表贴式永磁同步电机(SPMSM)传统无差拍预测电流控制在参数失配时易扩大电流静差的问题,提出自适应增量式无差拍预测电流控制算法.基于给定电压增量、给定电流增量以及实际电流增量建立增量式预测方程,结合定子电阻远小于定子电感与采样时间之比,消去定子电阻和永磁体磁链.基于转子机械角速度误差对电流误差进行自适应加权组合,用该组合对增量式预测方程中的给定电压增量进行自适应补偿以减少预测误差.实验结果表明,所提算法在设置的参数失配情况中,电流静差消除能力均高于传统算法;当转速变化时,在所提算法控制下电流内环的动态性能优于传统算法,转速外环的动态性能有效提高.

An adaptive incremental deadbeat predictive current control algorithm was proposed to solve the problem of static current error caused by parameter mismatch in conventional deadbeat predictive current control of surface-mounted permanent magnet synchronous motor(SPMSM).The incremental prediction equation was established based on the reference voltage increment,the reference current increment and the actual current increment,and the relationship that the stator resistance is far less than the ratio of stator inductance to sampling time was also combined to eliminate stator resistance and permanent magnet flux.Then,the current errors were combined with adaptive weights based on the error of rotor mechanical angular speed,and the combination was taken to adaptively compensate the reference voltage increment in the incremental prediction equation,so as to reduce the prediction error.Experimental results show that the proposed algorithm has higher capacity of eliminating static current error than the conventional algorithm under the set conditions of parameter mismatch.When the speed changes,the dynamic performance of the current inner loop controlled by the proposed algorithm is better than that of the conventional algorithm,which effectively improves the dynamic performance of the speed outer loop.