A novel two-stage extended Kalman filter algorithm for reaction flywheels fault estimation |
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Institution: | 1. Research Center of Satellite Technology, Harbin Institute of Technology, Harbin 150080, China;2. School of Aeronautics and Astronautics, Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract: | This paper investigates the problem of two-stage extended Kalman filter(TSEKF)-based fault estimation for reaction flywheels in satellite attitude control systems(ACSs). Firstly, based on the separate-bias principle, a satellite ACSs with actuator fault is transformed into an augmented nonlinear discrete stochastic model; then, a novel TSEKF is suggested such that it can simultaneously estimate satellite attitude information and actuator faults no matter they are additive or multiplicative; finally, the proposed approach is respectively applied to estimating bias faults and loss of effectiveness for reaction flywheels in satellite ACSs, and simulation results demonstrate the effectiveness of the proposed fault estimation approach. |
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Keywords: | Fault estimation Reaction flywheels Satellite attitude control systems Separate-bias principle Two-stage extended Kalman filter |
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