New intelligent neural network adaptive control scheme research for aeroengine

In view of complicated,undetermined and strongly nonlinear aeroengine object,a novel control scheme integrating the merits of fuzzy inference,neural network adaptation and simple proportional-integral-derivative(PID) method was presented.Based on the improved fuzzy-PID controller,a novel intelligent neural network controller was designed.The parameters of the controller were optimized by the mixed learning method integrating offline chaotic ant colony optimization and online error back propagation(BP) algorithm.By applying least square support vector machine for system identification,with its fine nonlinear mapping ability,Simulation results at the design point show that the control system has good robustness and better performance than conventional control methods.The feasibility and validity of the control scheme are proved.