基于模糊神经网络的BTT导弹自适应控制

Adaptive Control of BTT Missile Based on Fuzzy-neural Network

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 net-work was proposed for the system . The method is that the uncertainties should he 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 dosed-loop stability and derive the adaptive rule. Finally, the results of simulation demonstrated the effectiveness of the proposed method.