基于Lyapunov方法的近空飞行器多模型自适应执行器失效补偿方案

Chang Tan, G. Tao, X. Yao, B. Jiang
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引用次数: 4

摘要

在最近的一篇论文[7]中,提出了一种多模型自适应执行器故障补偿控制方案,用于近空飞行器的控制,利用梯度算法实现执行器故障的快速准确补偿。针对近空间飞行器驱动的非线性系统,提出了一种新的多模型自适应作动器失效补偿控制方案。该设计还采用了基于多模型故障估计的多控制器和基于寻找最小性能成本指标的控制切换机制来选择最合适的控制器。与[7]不同的是,每个估计器都是基于Lyapunov方法设计的,保证了系统的稳定性和理想的跟踪性能。此外,在多模型控制系统框架中引入平滑控制,避免了控制切换带来的不连续问题,扩大了该设计的应用范围。给出了一个近空间飞行器动力学模型的仿真结果,验证了该模型的失效补偿性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Lyapunov method based multiple-model adaptive actuator failure compensation scheme for control of near-space vehicles
In a recent paper [7], a multiple-model adaptive actuator failure compensation control scheme is proposed for the control of a near-space vehicle, using the gradient algorithm, to achieve fast and accurate actuator failures compensation. In this paper, a new multiple-model adaptive actuator failure compensation control scheme is developed for nonlinear systems motivated from a near-space vehicle control application. Such a design also employs multiple controllers based on multiple-model failure estimations and a control switching mechanism, based on finding the minimal performance cost index, to select the most appropriate controller. Different from [7], each estimator is designed based on the Lyapunov method, which ensures the system stability and desired tracking properties. Moreover, a smooth control are introduced to the multiple-model control system frame to avoid the discontinuity problem from the control switching, to widen the application of such design. Simulation results for a near-space vehicle dynamic model are presented to show the desired failure compensation performance.
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