导弹块对角控制器的组合设计法

 利用小脑关节模型控制器 ( CMAC)神经网络辨识了导弹控制系统的几个重要空气动力参数,证明了估计误差、权误差有界,然后用解析逆解设计方法、模糊神经网络变结构控制方法设计了块对角控制器。仿真结果显示了该算法的有效性。

COMBINED METHOD TO DESIGN BLOCK DIAGONAL CONTROLLER OF MISSILE

A combined control algorithm is proposed to overcome the drawbacks of the inverse solution for the block diagonal control system(BDCS) of the missile. A few important aerodynamic parameters are identified by using cerebellum model arithmetic controller(CMAC) neural network. Different control methods, such as CMAC neural network based variable structure control(VSC), fuzzy control theory, analytical inverse solution and VSC, are used to design the controller in order to improve the performance of the system. By using adaptive law to estimate the error of estimation, the uncertainty of the system is reduced. The variable structure gain is tuned by the fuzzy logic. For this scheme, stable updated laws are determined by Lyapunov theory, and the boundedness of the estimated error, the weight error and all signals in the closed loop system is guaranteed. No prior offline training phase is necessary. The simulation results verify the efficiency of the proposed approach.