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Adaptive actuator fault-tolerant control for non-minimum phase air-breathing hypersonic vehicle model
ISA Transactions ( IF 7.3 ) Pub Date : 2021-07-24 , DOI: 10.1016/j.isatra.2021.07.032
Le Wang 1 , Ruiyun Qi 1 , Bin Jiang 1
Affiliation  

In this paper, the tracking control problem of non-minimum phase flexible air-breathing hypersonic vehicles (AHSV) is investigated subject to actuator fault, external disturbances and parameters uncertainties. The study is began with a series of control-oriented manipulations: first, the input–output dynamics are derived by using feedback linearization method and the internal dynamics of AHSV are constructed; then, the zero dynamics stability analysis is conducted to verify the non-minimum phase characteristic of AHSV. In order to realize output tracking of the non-minimum phase system with sufficient accuracy, an adaptive fault tolerant controller (FTC) is proposed based on an output-redefinition making the zero-dynamics with respect to the new output stable. Additionally, robust adaptive laws are utilized for the estimation of unknown parameters and actuator failure compensation of the AHSV model. Furthermore, the stability of the closed-loop system is analyzed based on the Lyapunov stability theory. At last, the numerical simulation results are provided to demonstrate the effective tracking performance of the proposed FTC scheme.



中文翻译:

非最小相位吸气式高超声速车辆模型的自适应执行器容错控制

本文研究了非最小相位柔性吸气式高超声速飞行器(AHSV)在执行器故障、外部干扰和参数不确定的情况下的跟踪控制问题。研究从一系列面向控制的操作开始:首先,使用反馈线性化方法推导输入-输出动力学,构建AHSV的内部动力学;然后,进行零动态稳定性分析,验证AHSV的非最小相位特性。为了实现对非最小相位系统具有足够精度的输出跟踪,提出了一种基于输出重定义的自适应容错控制器(FTC),使零动态相对于新输出稳定。此外,稳健的自适应定律用于估计未知参数和 AHSV 模型的执行器故障补偿。此外,基于李雅普诺夫稳定性理论对闭环系统的稳定性进行了分析。最后,数值模拟结果证明了所提出的 FTC 方案的有效跟踪性能。

更新日期:2021-07-24
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