基于模糊神经网络PID的机床直流调速系统

为解决PID参数的在线调整问题,针对龙门刨床的主拖动系统,提出将神经网络的模糊PID自适应控制器用于直流调速系统的方法。分析龙门刨床电气设备的组成,综合模糊控制和神经网络的长处,将神经网络、模糊逻辑和PID控制相融合,构成模糊神经网络控制器,并通过MATALAB对系统进行仿真。设计时,将模糊规则融于神经网络中,通过对神经网络的自学习、自适应能力在线调整模糊规则和隶属函数参数,对PID控制器实现在线实时调整。仿真结果表明,该系统比普通控制器具有更好的动、静态特性。

DC Adjustment Speed System of Machine Tool Based on Fuzzy Neural Network PID

In order to solve the problem of on-line adjustments of PID parameter,proposes a new method of fuzzy neural network adaptive PID control in direct current(DC) speed regulating system aiming at advocate-drag system of Dragon-planer.Analyze constitution of electric device at planer,integrate advantages of neural network and fuzzy control,That is a fuzzy neural network control be composed by combination of neural network with fuzzy logic system and PID controller,and then composing fuzzy neural network control...