Chaos based fuzzy neural networks control for aeroengines

The fuzzy rule and the weights in fuzzy neural networks controller are difficult to determine. In consideration of this problem, a kind of control scheme optimized via chaos algorithm was put forward for the aircraft engines. The chaos algorithm was applied to the design of the aeroengine control system to optimize the parameters of the fuzzy neural networks controller. The simulation results show that not only the design of the aeroengine fuzzy PID controller is improved by the chaos algorithm, but also the fuzzy neural networks controller behaves effectively.