Research Papers

Fault Diagnosis for Satellite Attitude Control Systems With Four Flywheels

[+] Author and Article Information
Zhenhua Wang

School of Astronautics,
Harbin Institute of Technology,
Harbin, China150001
e-mail: zhwang1987@gmail.com

Yi Shen

School of Astronautics,
Harbin Institute of Technology,
Harbin, China150001

Xiaolei Zhang

School of Information and Electrical Engineering,
Harbin Institute of Technology (Weihai),
Weihai, China264209

Danwei Wang

School of Electrical and Electronic Engineering,
Nanyang Technological University,
EXQUISITUS, Centre for E-City,

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received September 2, 2012; final manuscript received January 10, 2014; published online April 10, 2014. Assoc. Editor: Shankar Coimbatore Subramanian.

J. Dyn. Sys., Meas., Control 136(4), 041016 (Apr 10, 2014) (5 pages) Paper No: DS-12-1286; doi: 10.1115/1.4026515 History: Received September 02, 2012; Revised January 10, 2014

This paper proposes a novel fault diagnosis approach for the satellite attitude control system with flywheel faults. The key contributions include fault estimation by sparse approximation algorithm and diagnosis of multiple faults. In this paper, a Taylor series expansion is used to derive a fault estimation representation. Based on the sparse property of the faults, fault estimation is formulated as a sparse approximation problem and solved using the orthogonal matching pursuit (OMP) algorithm. Simulation results demonstrate the effectiveness of the proposed method.

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Grahic Jump Location
Fig. 1

The attitude angular velocity of body frame with respect to inertial frame

Grahic Jump Location
Fig. 2

The fault estimation result when a single fault occurs

Grahic Jump Location
Fig. 3

The fault estimation result when two simultaneous faults occur



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