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通过对受控系统的仿真分析,设计模糊控制器,实现受控系统的模糊控制,进而达到受控系统的控制性能指标。而模糊控制器的思想与方法在微型计算机中的实现难度很大,其涉及的计算不容易实现[1],考虑BP网络模型是确定的函数模型,BP网络模型很容易通过编程实现。因此利用BP网络在线学习求取模糊控制器的函数模型,从而实现基于微型计算机的模糊控制技术,通过仿真BP网络模型其控制效果与模糊控制器控制效果吻合。
Through the simulation analysis of the controlled system, the fuzzy controller is designed to realize the fuzzy control of the controlled system so as to achieve the controlled performance of the controlled system. However, the idea and method of fuzzy controller are very difficult to realize in microcomputers, and the computations involved are not easy to implement [1]. Considering that BP network model is a definite function model, BP network model can be easily programmed. Therefore, the online learning of BP neural network is used to get the function model of fuzzy controller so as to realize the fuzzy control technology based on microcomputer. The simulation result of BP neural network coincides with that of fuzzy controller.