Finite-time state-constrained adaptive fault-tolerant control for heavy launch vehicles with input quantization

IF 1 4区 工程技术 Q3 ENGINEERING, AEROSPACE
Ruitao Zhang, Zheng Wang, Yangwang Fang, Hang Guo, Wenxing Fu, Jie Yan, Lulu Rong
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引用次数: 0

Abstract

This paper proposes the finite-time state-constrained adaptive fault-tolerant control method for a class of heavy launch vehicles subject to quantized input signals and actuator faults. Firstly, the attitude dynamic model of the heavy launch vehicles suffering from the actuator faults and disturbances is formulated. Secondly, to deal with the completely unknown nonlinear functions, radial basis function neural networks (RBFNNs) are introduced for approximation and compensation. Meanwhile, the barrier Lyapunov function (BLF) is introduced to ensure that all the states in the closed-loop system are bounded and the constraints of the system states are satisfied. As a result, the finite-time state-constrained adaptive fault-tolerant control structure is constructed for the heavy launch vehicles and the semi-globally practical finite-time stability (SGPFS) of the closed-loop control system is proved. Finally, numerical simulation results show the effectiveness and the satisfactory performance of the proposed control algorithm.
输入量化重型运载火箭的有限时间状态约束自适应容错控制
本文提出了针对一类受量化输入信号和执行器故障影响的重型运载火箭的有限时间状态约束自适应容错控制方法。首先,建立了受激励器故障和干扰影响的重型运载火箭姿态动态模型。其次,为处理完全未知的非线性函数,引入径向基函数神经网络(RBFNN)进行逼近和补偿。同时,引入了障碍李亚普诺夫函数(BLF),以确保闭环系统中的所有状态都是有界的,并满足系统状态的约束条件。因此,构建了重型运载火箭的有限时间状态约束自适应容错控制结构,并证明了闭环控制系统的半全局实用有限时间稳定性(SGPFS)。最后,数值仿真结果表明了所提控制算法的有效性和令人满意的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.40
自引率
18.20%
发文量
212
审稿时长
5.7 months
期刊介绍: The Journal of Aerospace Engineering is dedicated to the publication of high quality research in all branches of applied sciences and technology dealing with aircraft and spacecraft, and their support systems. "Our authorship is truly international and all efforts are made to ensure that each paper is presented in the best possible way and reaches a wide audience. "The Editorial Board is composed of recognized experts representing the technical communities of fifteen countries. The Board Members work in close cooperation with the editors, reviewers, and authors to achieve a consistent standard of well written and presented papers."Professor Rodrigo Martinez-Val, Universidad Politécnica de Madrid, Spain This journal is a member of the Committee on Publication Ethics (COPE).
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