开关磁阻电动机模糊-单神经元PID控制研究

摘要

The control system of switched reluctance motors (SRM) has many drawbacks, such as complicated structure and non-linearity. It's difficult to establish its precise mathematical model. Therefore, the performance is influenced on significantly. This paper proposes a novel intelligent method which is used to combine the fuzzy control with the single neuron PID control together. The controller is made have the advantages of both single neuron control and fuzzy control and perfect dy mamic stability.%开关磁阻电动机调速系统具有显著的非线性,数学模型难以精确建立,采用常规PID控制难以获得理想的性能.对于开关磁阻电动机转速-转矩双闭环调速系统的速度环,设计了一种模糊控制与单神经元PID相结合的控制算法,基于MATLAB建立了系统仿真模型,仿真表明设计的模糊控制与单神经元PID相结合的控制算法兼有单神经元控制和模糊控制的优点,具有良好的动静态性能.