针对不确定非线性BTT导弹控制系统,提出了一种基于模糊高斯基函数神经网络的自适应控制设计方法。在设计过程中将不确定部分合为一项,应用模糊神经网络的万能逼近性质来逼近系统不确定项,然后利用滑模控制和自适应模糊神经网络理论设计了控制器,应用Lyapunov稳定性理论保证闭环系统的稳定性,并推导出自适应律,最后通过仿真结果验证该方法的有效性。

Aiming at uncertain nonlinear BTT missile control systems, an adaptive control scheme of fuzzy gauss function neural network was proposed for the system. The method is that the uncertainties should be combined to one in the design procedure, fuzzy-neural network is designed to approximate the uncertainty, then sliding mode control and adaptive fuzzy-neural network control theory are used to design the controller, the Lyapunov stability theory is used to guarantee the closed-loop stability and derive the adaptive rule. Finally, the results of simulation demonstrated the effectiveness of the proposed method.