<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

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

College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Department of Computing and Mathematical Sciences, University of Glamorgan, Pontypridd CF37 1DL, UK

School of Engineering and Science, Victoria University, Melbourne, Vic 8001, Australia

International Journal of Applied Mathematics and Computer Science

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

Online veröffentlicht: 22. März 2012

Seitenbereich: 183 - 196

DOI: https://doi.org/10.2478/v10006-012-0014-9

Schlüsselwörter
actuator fault estimation, Takagi-Sugeno fuzzy models, robust sliding mode observer, inverse system method

This content is open access.

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

Online veröffentlicht: 22. März 2012

Seitenbereich: 183 - 196

DOI: https://doi.org/10.2478/v10006-012-0014-9

Schlüsselwörteractuator fault estimation, Takagi-Sugeno fuzzy models, robust sliding mode observer, inverse system method

This content is open access.

Schlüsselwörter
actuator fault estimation, Takagi-Sugeno fuzzy models, robust sliding mode observer, inverse system method