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Simultaneous State and Actuator Fault Estimation With Fuzzy Descriptor PMID and PD Observers for Satellite Control Systems
Rajab Challoo, Sunny Dubey
Pages - 344 - 359     |    Revised - 01-11-2011     |    Published - 15-12-2011
Volume - 2   Issue - 5    |    Publication Date - November / December 2011  Table of Contents
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KEYWORDS
Fault, Descriptor Systems, Estimation, Fuzzy Model
ABSTRACT
In this paper, Takagi-Sugeno (T-S) fuzzy descriptor proportional multiple-integral derivative (PMID) and Proportional-Derivative (PD) observer methods that can estimate the system states and actuator faults simultaneously are proposed. T-S fuzzy model is obtained by linearsing satellite/spacecraft attitude dynamics at suitable operating points. For fault estimation, actuator fault is introduced as state vector to develop augmented descriptor system and robust fuzzy PMID and PD observers are developed. Stability analysis is performed using Lyapunov direct method. The convergence conditions of state estimation error are formulated in the form of LMI (linear matrix inequality). Derivative gain, obtained using singular value decomposition of descriptor state matrix (E), gives more design degrees of freedom together with proportional and integral gains obtained from LMI. Simulation study is performed for our proposed methods.
CITED BY (2)  
1 Cheng, Y., Wang, R., Xu, M., & Li, Y. (2016). Simultaneous state and actuator fault estimation for satellite attitude control systems. Chinese Journal of Aeronautics.
2 Garcia, E. A., & Garcia, J. R. Estimación de fallas: un enfoque basado en inversión del generador de residuos⋆.
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Dr. Rajab Challoo
Texas A&M University-Kingsville - United States of America
kfrc000@tamuk.edu
Mr. Sunny Dubey
- United States of America