Adaptive tracking control for air-breathing hypersonic vehicles with state constraints

Gong-jun LI

doi:10.1631/FITEE.1500464

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Adaptive tracking control for air-breathing hypersonic vehicles with state constraints

Regular Papers | Updated：2022-05-19

- Adaptive tracking control for air-breathing hypersonic vehicles with state constraints
- 状态受限吸气式高超声速飞行器自适应跟踪控制
- Frontiers of Information Technology & Electronic Engineering Vol. 18, Issue 5, Pages: 599-614(2017)
- Affiliations：
  
  Science and Technology on Space Intelligent Control Laboratory, Beijing Institute of Control Engineering, Beijing 100190, China
- Author bio：
  
  E-mail:gongjun_bice@buaa.edu.cn
- Funds：
- DOI：10.1631/FITEE.1500464
  CLC： TP273;V448.2
- Received：21 December 2015，
  
  Accepted：26 February 2016，
  
  Published：2017-05
- Accepted：
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Gong-jun LI. Adaptive tracking control for air-breathing hypersonic vehicles with state constraints[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(5): 599-614.
DOI：

Gong-jun LI. Adaptive tracking control for air-breathing hypersonic vehicles with state constraints[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(5): 599-614. DOI： 10.1631/FITEE.1500464.

摘要

本文研究了纵向通道吸气式高超声速飞行器的状态受限自适应跟踪控制问题，其中，速度、高度和攻角均要求跟踪给定的参考曲线。通过选择俯仰角作为新的输出并设计合适的俯仰角参考曲线，提出了一种新颖的间接攻角跟踪策略。基于重新定义的输出（即：速度、高度和俯仰角），给出了一种基于修正的退步控制器设计方法，其中，障碍李雅普诺夫函数用来求解控制增益未知情况下的状态受限控制问题。稳定性分析表明本方法实现了跟踪控制的目标，同时所有的闭环信号有界，状态始终满足给定约束。数值仿真验证了本方法的有效性。

Abstract

We investigate the adaptive tracking problem for the longitudinal dynamics of state-constrained airbreathing hypersonic vehicles

where not only the velocity and the altitude

but also the angle of attack (AOA) is required to be tracked. A novel indirect AOA tracking strategy is proposed by viewing the pitch angle as a new output and devising an appropriate pitch angle reference trajectory. Then based on the redefined outputs (i.e.

the velocity

the altitude

and the pitch angle)

a modified backstepping design is proposed where the barrier Lyapunov function is used to solve the state-constrained control problem and the control gain of this class of systems is unknown. Stability analysis is given to show that the tracking objective is achieved

all the closed-loop signals are bounded

and all the states always satisfy the given constraints. Finally

numerical simulations verify the effectiveness of the proposed approach.

关键词

Keywords

references

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