摘要
ＦＬ－７风洞旁路活门非线性控制系统稳Ｍ数神经网络自适应控制中的网络拓扑结构，权值调整，自构性学习，及其实现方法表明，整个系统控制性能优良，不仅控制精度高，而且节省燃油，可靠性性能良好。
In this paper,ANN-based adaptive control for stable M of FL-7 wind tunnel by-pass valves nonlinear control system is introduced, and network topology architecture, connection weight adjustment,selfconfiguring learning, their implementation are studied. The simulation proves that this control system is precise,less oil consumptive,reliable and quickly responsive.
关键词
自适应控制
神经网络
风洞
旁路活门
adaptive control
topology architecture
ANN (Artificial neural network)
