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针对利用解析逆解技术设计的导弹块对角控制系统存在的主要问题——鲁棒性差,提出了利用小脑模型关节控制器(CMAC)神经网络来辨识导弹的几个重要的空气动力参数,证明了估计误差、权误差有界,在此基础上用解析逆解设计万法设计了导弹的块对角控制器。仿真结果表明了本文算法所设计的系统具有响应快、精度高和鲁棒性强等优点。
In view of the main problem existing in the diagonal control system of missile blocks designed by using the analytical inverse solution technology, which is poor in robustness, several important aerodynamic parameters of the missile are identified based on the cerebellar model joint controller (CMAC) neural network, The estimation error and the weight error are bounded. On the basis of this, the block diagonal controller of the missile is designed with the analytical inverse solution. The simulation results show that the system designed by this algorithm has the advantages of fast response, high precision and robustness.