To accomplish steady state optimal control of turbofan engine in full flight envelop and in different working conditions

nonlinear estimation methods based on linear steady state models of turbofan in all operation points were presented.The principle and algorithm realization of support vector machines for nonlinear controller approximation were improved.Then

the method used the improved support vector machines to establish the identification model of many linear optimization controllers designed for turbofan engine in some representative flight conditions.The controller design results for other operation points in the flight envelope can be conveniently educed by the model.For the identification model

the inputs were the steady rotation speed

the flight altitude and the flight Mach number

and the outputs were the parameters of the synthetic controller.The application examples show that the identification errors of the method in the whole flight envelop and various working conditions can meet the control precision need.