异步电机低开关损耗的模型预测直接转矩控制

提出一种新颖的异步电机低开关损耗的模型预测直接转矩控制方法。通过建立异步电机离散时间预测模型,对不同开关矢量作用下的系统输出矢量进行轨迹外推,形成长预测范围的输出轨迹。同时分析三电平逆变器在开关切换时产生的开关损耗,以逆变器的平均开关损耗为价值函数,对不同开关矢量作用的输出轨迹进行在线评估,得到最优的开关矢量并将其作用于逆变器,从而有效降低了逆变器的开关损耗。仿真结果表明,基于该方法的驱动系统逆变器的开关损耗低,电机转矩和磁链动静态性能良好。

Model Predictive Direct Torque Control for Low Switching Losses Control of Induction Motor

A novel induction motor low switching loss model predictive direct torque control(MPDTC)is proposed in this paper. By building the discrete time prediction model of an induction motor and extrapolation the output vector trajectory with different switch vector, a plurality of long range output trajectory are obtained. The switching losses of three-level inverter generated during switching are analyzed, and by using the average switching losses of the inverter as an evaluation function to evaluate the output trajectory, the optimum switching vector is obtained. The optimum switching vector is used to the inverter, thus the inverter switching losses is reduced effectively. The simulation results show that the driving system based on the control scheme has low inverter switching losses and excellent static and dynamic performance of torque and flux linkage.