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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。
Aimed at the characteristics of time-varying, time-varying and non-linearity of controlled objects in mine air conditioners, a neural fuzzy controller based on BP algorithm is designed based on neural network. By using the neural network toolbox provided by MATLAB and Simulink software package, Have carried on the simulation. The results show that the proposed controller has better robustness than classical PID control and simple fuzzy control, and has good dynamic performance and rapid control. It is suitable for mine air conditioning control system widely used by coal mine enterprises in China.