Adaptive Fuzzy Fault-Tolerant Attitude Control for a Hypersonic Gliding Vehicle: A Policy-Iteration Approach

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-07-09 DOI:10.3390/act13070259

Meijie Liu, Changhua Hu, Hong Pei, Hongzeng Li, Xiaoxiang Hu

引用次数: 0

Abstract

In this paper, adaptive fuzzy fault-tolerant control (AFFTC) for the attitude control system of a hypersonic gliding vehicle (HGV) experiencing an actuator fault is proposed. Actuator faults of the HGV are considered with respect to its actual structure and actuator characteristics. The HGV’s attitude system is firstly represented by a T–S fuzzy model, and then a normal T–S fuzzy controller is designed. A reinforcement learning (RL)-based policy iterative solution algorithm is proposed for the solving of the T-S fuzzy controller. Then, based on the normal T–S controller, a fuzzy FTC controller is proposed in which the control matrices can improve themselves according to the special fault. An integral reinforcement learning (IRL)-based solving algorithm is proposed to reduce the dependence of the design methods on the HGV model. Simulations on three different kinds of actuator faults show that the designed IRL-based FTC can ensure a reliable flight by the HGV.

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高超音速滑翔飞行器的自适应模糊容错姿态控制：策略迭代法

本文提出了针对执行器故障的高超音速滑翔飞行器（HGV）姿态控制系统的自适应模糊容错控制（AFFTC）。根据高超音速滑翔飞行器的实际结构和执行器特性考虑了其执行器故障。首先用 T-S 模糊模型表示 HGV 的姿态系统，然后设计普通 T-S 模糊控制器。针对 T-S 模糊控制器的求解，提出了一种基于强化学习（RL）的策略迭代求解算法。然后，在普通 T-S 控制器的基础上，提出了一种模糊 FTC 控制器，其中的控制矩阵可根据特殊故障进行自我改进。提出了一种基于积分强化学习（IRL）的求解算法，以减少设计方法对重型车辆模型的依赖。对三种不同执行器故障的仿真表明，所设计的基于 IRL 的 FTC 能够确保重型卡车可靠飞行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464

期刊介绍： ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.