电动车用定子双馈电双凸极电机驱动系统的单神经元PID控制

An Adaptive PID Control Based on Single Neuron of Stator-Doubly-Fed Doubly Salient Motor

由于其双凸极结构,电动车用定子双馈电双凸极(SDFDS)电机驱动系统具有较强的非线性,常规PID控制器参数固定不易调节,难以得到较好的控制特性。由于单神经元具有自学习和自适应能力,且结构简单易于计算,因此该文设计了单神经元自适应PID控制器作为SDFDS电机的速度控制器,并在以数字信号处理器(DSP)TMS320F2812为核心的平台上进行了实验。实验结果表明,单神经元自适应PID控制器具有比常规PID控制器更好的动态和稳态性能,满足电动车对驱动电机的要求。

Due to the structure of doubly salientpoles, the Stator-doubly-fed doubly salient （SDFDS） motor drive system for electric vehicles has high nonlinearity. So it is difficult to tune the parameters and get satisfied control characteristics by using normal PID controller. As the single neuron has the ability of self-learning, the simple structure and it is easy for computing, in this paper, a single neuron self-adaptive PID controller is designed as the controller of the SDFDS motor. The experimental results verify that a single neuron self-adaptive PID controller has better dynamic and static performance than the normal PID controller, which stisfies the needs of drive motor for electric vehicles.