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.