Ac Servo System Of A Rocket Launcher Adaptive Control

This paper is to design a new type of intelligent controller aiming at a alternating current servo system of a rocket launcher, the alternating current servo system works under complex circumstances such as large inertia, variety load and the moment disturb, The controller designed in this paper can meet the servo system demand of speediness, accuracy and stability preferably.This paper firstly presents the hardware of the alternating current servo system, expounds the theory of neural network, fuzzy control and fuzzy-network control. Secondly according to a set of test data of system, proposes an off-line learning method to obtain the network weights and threshold values by incorporating neural into system identification, network model of the system is founded. Next two adaptive control strategies which are fuzzy model reference adaptive controller and fuzzy-network adaptive controller are introduced. The performance of the intelligent controller is simulated and analyzed through alternating current servo system simulation software based on MATLAB. Ascertains that the fuzzy-network adaptive controller has advantages. According to the results of the simulation and experiments, shows that the intelligent controller this paper designed has a high quality of performance, could meet the required needs in the project.