基于单神经元PID的异步电动机转速的自适应控制

Adaptive Speed Control of Asynchronous Motor Based on Single Neuron PID

针对异步电动机矢量控制中转速调节器参数整定困难、自适应性差和稳态精度低的问题,设计单神经元PID控制器。将神经元学习规则与PID控制相结合,采用在线学习的方式,在电动机运行过程中实时调整控制器参数,实现转速的自适应控制。在恒速变负载和恒负载变速的仿真实验中,结果表明基于单神经元PID的转速调节器具有较好的动态性能和较高的稳态精度。

A new single neuron PII） controller is designed to solve the problem of difficulty to setting speed regulator~ parameter in vector control over asynchronous motor, the problem of poor adaptability and low steady-state accuracy in speed control. Using online learning methods, the neuron learning rules are combined with PID control to adjust the controller parameters, which realize adaptive speed control. Simulation results show that the adaptive speed controller based on single neuron PID reflects better dynamic performance and high steady-state accuracy.