开关磁阻电机固定频率预测电流控制策略

针对开关磁阻电机(SRM)传统电流斩波控制(CCC)开关频率不固定、电流跟踪效果差的问题,提出了一种固定频率的无差拍预测电流控制(DPCC)算法。基于对SRM静态电磁特性的精确解析拟合,建立SRM离散预测模型。为了减小转矩脉动,利用无差拍理论实时计算下一时刻所需电压,实现对电机参考电流的精确跟踪。为进一步提高效率,采用新型转矩分配函数代替传统线性转矩分配函数。基于试验样机测试数据,在MATLAB/Simulink中搭建仿真模型,对所提出的算法进行仿真分析。仿真结果表明,所提出的固定频率DPCC方法相比传统CCC方法,具有更小的电流跟踪误差,并且能够有效减小SRM的转矩脉动,提高系统效率。

A Fixed Frequency Predictive Current Control Strategy forSwitched Reluctance Motor

Aiming at solving the problem that the conventional current chopping control (CCC) of switched reluctance motor (SRM) had the disadvantages of unfixed switching frequency and poor current tracking performance, a fixed frequency deadbeat predictive current control (DPCC) algorithm was proposed. The discrete prediction model of SRM was established based on the accurate analytic fitting of SRM static electromagnetic characteristics. In order to reduce the torque ripple, the deadbeat theory was used to calculate the voltage needed at the next moment to realize accurate tracking of the motor reference current. In order to further improve the efficiency, a new type torquesharing function was used instead of the traditional liner function. Based on the test data of the test prototype, a simulation platform was built in MATLAB/Simulink, and the simulation analysis was carried out. The simulation results showed that the proposed fixed frequency DPCC had a smaller current tracking error compared with the conventional CCC method, it also could effectively reduce the torque ripple of the SRM and improve the system efficiency.