Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85155
Title: Multiple-step fault estimation for interval type-II T-S fuzzy system of hypersonic vehicle with time-varying elevator faults
Authors: Wang, Jin
Hu, Longze
Chen, Fuyang
Wen, Changyun
Keywords: Hypersonic flight vehicle
Interval type-II
Issue Date: 2017
Source: Wang, J., Hu, L., Chen, F., & Wen, C. (2017). Multiple-step fault estimation for interval type-II T-S fuzzy system of hypersonic vehicle with time-varying elevator faults. International Journal of Advanced Robotic Systems, 14(2), 1-11.
Series/Report no.: International Journal of Advanced Robotic Systems
Abstract: This article proposes a multiple-step fault estimation algorithm for hypersonic flight vehicles that uses an interval type-II Takagi–Sugeno fuzzy model. An interval type-II Takagi–Sugeno fuzzy model is developed to approximate the nonlinear dynamic system and handle the parameter uncertainties of hypersonic firstly. Then, a multiple-step time-varying additive fault estimation algorithm is designed to estimate time-varying additive elevator fault of hypersonic flight vehicles. Finally, the simulation is conducted in both aspects of modeling and fault estimation; the validity and availability of such method are verified by a series of the comparison of numerical simulation results.
URI: https://hdl.handle.net/10356/85155
http://hdl.handle.net/10220/43649
ISSN: 1729-8806
DOI: 10.1177/1729881417699149
Rights: © 2017 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 3.0 License (http://www.creativecommons.org/licenses/by/3.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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