Research on neural network Smith predictive compensable fuzzy PID control for distributed system of Aeroengine

Distributed control was a important development direction of Aeroengine in 21 century. For network time-delay question of aeroengine, a method of neural network Smith predictive compensable fuzzy PID control was brought forward. The method integrated neural network and fuzzy logic system into traditional Smith predictive controller and traditional PID controller. Neural network Smith predictive compensable controller was set up by using neural network to identify the model of plant. And predictive error was transferred to fuzzy PID controller to carry out compensable control. The adaptive control for distributed system was finally realized. Through digital simulation, the results show that neural network Smith predictive compensable fuzzy PID controller can well control distributed system with network time-delay.