开关磁阻电机直接转矩单神经元PID设计

Direct Torque Single-Neuron PID Control Design for Switched Reluctance Motor

介绍了单神经元PI复合控制的开关磁阻电机调速系统的新方法,利用具有自学习和自适应能力的单神经元来构成开关磁阻电机的单神经元自适应控制器。仿真结果表明,这种复合控制方法解决了常规控制方法因电机数学模型难以精确确定而无法确定控制参数的问题,克服了常规PI控制存在静差、无抗干扰能力的缺点,解决了系统上升时间与超调的矛盾。

Introduction was made to a new method of speed regulation for single-neuron PI combination controlled switched reluctance motor（SRM）.Single neuron with self-learning and self-adaptive ability was used to build single-neuron self-adaptive controller for SRM.Simulation result shows that this combination control method solves the problems of no way to determine control parameters accurately due to motor＇s math model for normal control method,overcoming disadvantages of existing static difference without anti-interference in normal PI control and solving the contradiction between system＇s rising time and overshoot.