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## International Journal of Applied Mathematics and Computer Science

2012 | 22 | 1 | 183-196
Tytuł artykułu

### Nonlinear actuator fault estimation observer: An inverse system approach via a T-S fuzzy model

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Based on a Takagi-Sugeno (T-S) fuzzy model and an inverse system method, this paper deals with the problem of actuator fault estimation for a class of nonlinear dynamic systems. Two different estimation strategies are developed. Firstly, T-S fuzzy models are used to describe nonlinear dynamic systems with an actuator fault. Then, a robust sliding mode observer is designed based on a T-S fuzzy model, and an inverse system method is used to estimate the actuator fault. Next, the second fault estimation strategy is developed. Compared with some existing techniques, such as adaptive and sliding mode methods, the one presented in this paper is easier to be implemented in practice. Finally, two numerical examples are given to demonstrate the efficiency of the proposed techniques.
Słowa kluczowe
EN
Rocznik
Tom
Numer
Strony
183-196
Opis fizyczny
Daty
wydano
2012
otrzymano
2011-01-13
poprawiono
2011-07-15
poprawiono
2011-11-07
Twórcy
autor
• College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
autor
• College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
autor
• Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd CF37 1DL, UK
• School of Engineering and Science, Victoria University, Melbourne, Vic 8001, Australia
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Bibliografia
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