Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach

The primary objective of this paper is to address the challenge of designing finite-time fault-tolerant control mechanisms for nonlinear flexible spacecraft systems, which are particularly vulnerable to randomized actuator faults. Diverging from traditional methodologies, our research harnesses the...

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Main Authors: Xue, Wenlong, Jin, Zhenghong, Tian, Yufeng
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/181583
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1815832024-12-13T15:42:15Z Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach Xue, Wenlong Jin, Zhenghong Tian, Yufeng School of Electrical and Electronic Engineering Engineering Nonlinear spacecraft Fuzzy model The primary objective of this paper is to address the challenge of designing finite-time fault-tolerant control mechanisms for nonlinear flexible spacecraft systems, which are particularly vulnerable to randomized actuator faults. Diverging from traditional methodologies, our research harnesses the capabilities of the Takagi–Sugeno (T–S) fuzzy framework. A unique feature of our model is the representation of actuator failures as stochastic signals following a Markov process, thereby offering a robust solution for addressing timeliness concerns. In this paper, we introduce a generalized reciprocally convex inequality that includes adjustable parameters, broadening the scope of previous results by accommodating them as special cases. Through the amalgamation of this enhanced inequality and flexible independent parameters, we propose an innovative controller design strategy. This approach establishes a stability standard that guarantees mean-square (Formula presented.) performance. In order to validate the efficacy of the suggested strategy, we present a numerical illustration involving a nonlinear spacecraft system, showcasing the practical advantages and feasibility of our proposed technique. Published version This research was funded by the China Postdoctoral Science Foundation under Grant 2023M730411; the Chongqing postdoctoral innovative talents support program under Grant CQBX202205; the Postdoctoral Fellowship Program of CPSF under GZB 20230913, GZC20241490. 2024-12-10T02:19:51Z 2024-12-10T02:19:51Z 2024 Journal Article Xue, W., Jin, Z. & Tian, Y. (2024). Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach. Symmetry, 16(7), 873-. https://dx.doi.org/10.3390/sym16070873 2073-8994 https://hdl.handle.net/10356/181583 10.3390/sym16070873 2-s2.0-85199545047 7 16 873 en Symmetry © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering
Nonlinear spacecraft
Fuzzy model
spellingShingle Engineering
Nonlinear spacecraft
Fuzzy model
Xue, Wenlong
Jin, Zhenghong
Tian, Yufeng
Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
description The primary objective of this paper is to address the challenge of designing finite-time fault-tolerant control mechanisms for nonlinear flexible spacecraft systems, which are particularly vulnerable to randomized actuator faults. Diverging from traditional methodologies, our research harnesses the capabilities of the Takagi–Sugeno (T–S) fuzzy framework. A unique feature of our model is the representation of actuator failures as stochastic signals following a Markov process, thereby offering a robust solution for addressing timeliness concerns. In this paper, we introduce a generalized reciprocally convex inequality that includes adjustable parameters, broadening the scope of previous results by accommodating them as special cases. Through the amalgamation of this enhanced inequality and flexible independent parameters, we propose an innovative controller design strategy. This approach establishes a stability standard that guarantees mean-square (Formula presented.) performance. In order to validate the efficacy of the suggested strategy, we present a numerical illustration involving a nonlinear spacecraft system, showcasing the practical advantages and feasibility of our proposed technique.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Xue, Wenlong
Jin, Zhenghong
Tian, Yufeng
format Article
author Xue, Wenlong
Jin, Zhenghong
Tian, Yufeng
author_sort Xue, Wenlong
title Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
title_short Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
title_full Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
title_fullStr Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
title_full_unstemmed Finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
title_sort finite-time fault-tolerant control of nonlinear spacecrafts with randomized actuator fault: fuzzy model approach
publishDate 2024
url https://hdl.handle.net/10356/181583
_version_ 1819112949985312768