X-type Aircraft Engines Neural Network Control

Aero-engine was a controlled object with such features as complicated working mechanism , characteristics varied greatly with working state and environment condition. For such controlled object , classical feedback control theory and optimal control theory can't guarantee optimal performance. In this paper, a new type neural network construction and algorithm was studied . Based on this, the neural network was applied as controller to the single loop and the double loops of aero engine in steady state .By the way, elementary study was applied for the aero engine transient state control . For contrast, the full process for the classical PID controller design and the parameter determination was given.Based on the simulation result , a conclusion was drawn: the neural network can satisfy the control requirement for the single loop steady state under the parameters varying . Realized the decouple and control requirement for the double loops steady state, the coupling between the parameters was decoupled. For the single loop transient state control , the controller possess perfect tracking performance. Moreover, the network construction was simple and normative, easy to be realized. The simulation result was satisfied for the aero-engine control system with broad working range.