基于BP神经网络的煤矿矿井空调模糊控制器设计研究

针对矿井空调被控对象时滞、时变、非线性的特点,基于神经网络方法,设计了一种基于BP算法的神经模糊控制器,通过采用MATLAB提供的神经网络工具箱和Simulink软件包对其进行了仿真。结果表明,该控制器比经典PID控制及单纯模糊控制具有较好的鲁棒性,动态性能好,控制迅速,适于我国煤矿企业广泛使用的矿井空调控制系统。

Research on Fuzzy Controller Design Method of Coal Mine Air-Conditioner Based on BP Neural Network

Aiming at the object controlled by coal mine air-conditioner having nonlinear,big time-lag and uncertainty,a neural fuzzy controller based on back-propagation algorithm is proposed.The simulation experiment has been done through Simulink.The results showed that this neural fuzzy controller has more excellent robust and better dynamic characteristics than traditional PID control and pure fuzzy control.It is more suitable to control of coal mine air-conditioner with frequency change.