Aero-Engine State Variable Modeling Based on the Genetic Algorithm

Based on the Genetic Algorithm(GA),aero-engine small perturbation State Variable Model(SVM) was proposed.The fitness function of GA was established according to the principle that the aero-engine dynamic responses of the linear model should be in accordance with that of the nonlinear model at the same steady working point.Using the optimization algorithm,the SVM can be obtained.This method has no limitation on the system modes and orders.The SVM of some turbofan engine established with this method turns out to have high accuracy.The performance of the robust controller based on this SVM is quite well,which indicates the validity of this method.