Wang Le, Qi Ruiyun, Jiang Bin
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; Key Laboratory of Navigation, Control and Health-Management Technologies of Advanced Aerocraft, Ministry of Industry and Information Technology, Nanjing, 211106, China.
College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China; Key Laboratory of Navigation, Control and Health-Management Technologies of Advanced Aerocraft, Ministry of Industry and Information Technology, Nanjing, 211106, China.
ISA Trans. 2022 Jul;126:47-64. doi: 10.1016/j.isatra.2021.07.032. Epub 2021 Jul 24.
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.
本文研究了非最小相位柔性吸气式高超声速飞行器（AHSV）在存在执行器故障、外部干扰和参数不确定性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，利用反馈线性化方法推导输入-输出动力学并构建AHSV的内部动力学；然后，进行零动态稳定性分析以验证AHSV的非最小相位特性。为了以足够的精度实现非最小相位系统的输出跟踪，基于输出重定义提出了一种自适应容错控制器（FTC），使相对于新输出的零动态稳定。此外，利用鲁棒自适应律来估计未知参数并对AHSV模型进行执行器故障补偿。此外，基于李雅普诺夫稳定性理论分析了闭环系统的稳定性。最后，给出了数值仿真结果以证明所提出的FTC方案的有效跟踪性能。
