摘要
提出了一种基于瞬时转矩控制的抑制开关磁阻电动机转矩脉动的方法。先定义转矩分配函数 ,用以对各相转矩进行分配 ,保证各相瞬时转矩之和为一恒定值 ;其次通过矩角特性反演出各相电流指令 ,然后 ,通过滞环电流闭环控制电机 ;依负载要求而给定的转矩给定值 ,则是通过模糊神经网络控制器的输出而给定的。文中介绍了该智能控制器的设计方法。最后 ,通过数字仿真结果证实该方法不仅有效地抑制了转矩的脉动 。
An intelligence control method based on instantaneous torque to reduce moments fluctuations for switched reluctance motor is presented.The functions assigned of the torque are defined,which assigns the torque of each phase in order to ensure that the sum of all phase torque is constant.Then the current-command of each phase is reversed by the torque-angle characteristic,the current is controlled by the closed loop that consists of the regulator of hysteresis cycle.The torque given that is the output of the speed based on controller FNN depends on the load.The designing method of the speed controller based on FNN control is described.Finally,it is shown by digital simulation that the method presented not only reduces the moments fluctuation significantly but also has expected characteristic of instantaneous responses.
出处
《微特电机》
北大核心
2000年第2期28-30,共3页
Small & Special Electrical Machines
关键词
开关磁阻电动机
转矩脉动
智能抑制法
神经网络
switches magnetic reluctance electric motor depressing moments fluctuations fuzzy neurons network