Neural discrete back-stepping control of hypersonic flight vehicle with equivalent prediction model
Neural discrete back-stepping control of hypersonic flight vehicle with equivalent prediction model
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DOI：
10.1016/j.neucom.2014.11.059
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发表时间：
2015-04
期刊：
影响因子：
6
通讯作者：
B. Xu;Yu Zhang
中科院分区：
文献类型：
--
作者：
B. Xu;Yu Zhang
本文介绍了一种基于神经网络的通用高超声速飞行器纵向动力学离散时间反演控制器的设计。对于高度子系统，为避免因果矛盾，将原系统转化为严格反馈形式的新的等效预测模型，并在此基础上设计了误差反馈和神经逼近的虚拟控制。对于新的严格反馈系统的稳定性分析，采用了李雅普诺夫函数。在该控制器下，保证了系统的半全局一致极限有界稳定性。仿真研究中给出了阶跃响应，验证了所提控制方法的有效性。
This paper describes the back-stepping controller design in discrete time for the longitudinal dynamics of a generic hypersonic flight vehicle with neural networks. For the altitude subsystem, to avoid the causality contradiction, the original system is formulated into a new equivalent prediction model with strict-feedback form from which the virtual control is designed with error feedback and neural approximation via back-stepping. For stability analysis, Lyapunov function is chosen with regard to the novel formulation of new strict-feedback system. Under the proposed controller, the semiglobal uniform ultimate boundedness stability is guaranteed. The step response is presented in the simulation studies to show the effectiveness of the proposed control approach.