模糊-神经网络控制在发动机试验台测控系统中的应用

Control system based on fuzzy-neural network theory for an engine test bed

着重阐述了多变量神经模糊控制在发动机试验台测控系统中的应用。通过在由BJ492QA型汽油机和KH PDWC110A测功机组成的发动机试验台上的应用,验证了应用BP神经网络设计的模糊 神经控制器具有实时性能、所需存储容量小、控制系统学习速度快、控制结果超调量小及稳定时间短等优点。

A control system based on multiple variable fuzzyneural network theory for an engine test bed is presented.Application of the system on an engine test system composed of gasoline engine BJ492QA and dynamometer KHPDWC110A showed that fuzzyneural controller based on BP neural network is characterized by real time processing capability,small storage requirement,fast learning,small control overshoot and short stabilizing time.