基于模型预测电动汽车异步电机直接转矩控制

Model Predictive Direct Torque Control on Asynchronous Motor for Electric Vehicle

针对异步电机传统定子磁场定向控制在电动汽车应用领域中会出现超调大、快速响应性不足和PI参数调整繁琐等问题,通过对异步电机数学模型离散化处理,采用一种模型预测直接转矩控制算法(MPDTC)。建立电动汽车动力学模型,在平地启动和爬坡运行工况下验证该算法的控制效果,结果表明:传统定子磁场定向控制算法出现的问题均得到改善,且MPDTC控制算法在电动汽车领域具有潜在使用价值。

For the asynchronous motor,the traditional stator flux orientation control will have some pitfalls in the application field of electric vehicles,such as the large overshoot,the insufficient responsiveness and the complicated PI parameter adjustment.By the discretization of mathematical models of asynchronous motors,a model predictive direct torque control(MPDTC)was employed.The dynamic model of electric vehicle was established,the control effect of the algorithm was verified under the conditions of flat starting and slope climbing.The results show that the problems of the traditional stator flux orientation control algorithm are improved,and the MPDTC control algorithm has potential value in the field of electric vehicles.