TY - GEN
T1 - Fault-tolerant spacecraft attitude control via jump-linear quadratic control
AU - Sadon, Aviran
AU - Choukroun, Daniel
PY - 2014/1/1
Y1 - 2014/1/1
N2 - This work is concerned with the development of a suboptimal control algorithm for Markovian jump-linear systems, and its application to fault-tolerant spacecraft magnetic attitude control. For completeness, the jump-linear quadratic optimal controller with full state and mode information is presented. Relaxing the assumption of perfect mode information, a similar optimal control problem is formulated where the mode is observed via discrete measurements. The elements of the measurement matrix, i.e. the probabilities for correct and wrong mode observations are assumed known. The optimal controller is developed, which requires an exponentially growing computational burden, and a suboptimal controller is proposed that only requires knowledge of the current mode measurement. This controller is finite memory and possess some of the classical linear quadratic regulator features such as the linear state feedback structure and a state quadratic optimal cost-to-go. The performances of the suggested algorithm are illustrated through extensive Monte-Carlo simulations on a simple numerical example. A realistic fault-tolerant spacecraft magnetic attitude controller is developed based on the proposed approach. The attitude controller succeeds in mitigating the destabilizing effect of corrupted mode observations while being computationally efficient.
AB - This work is concerned with the development of a suboptimal control algorithm for Markovian jump-linear systems, and its application to fault-tolerant spacecraft magnetic attitude control. For completeness, the jump-linear quadratic optimal controller with full state and mode information is presented. Relaxing the assumption of perfect mode information, a similar optimal control problem is formulated where the mode is observed via discrete measurements. The elements of the measurement matrix, i.e. the probabilities for correct and wrong mode observations are assumed known. The optimal controller is developed, which requires an exponentially growing computational burden, and a suboptimal controller is proposed that only requires knowledge of the current mode measurement. This controller is finite memory and possess some of the classical linear quadratic regulator features such as the linear state feedback structure and a state quadratic optimal cost-to-go. The performances of the suggested algorithm are illustrated through extensive Monte-Carlo simulations on a simple numerical example. A realistic fault-tolerant spacecraft magnetic attitude controller is developed based on the proposed approach. The attitude controller succeeds in mitigating the destabilizing effect of corrupted mode observations while being computationally efficient.
UR - http://www.scopus.com/inward/record.url?scp=84904637171&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84904637171
SN - 9781632662651
T3 - 54th Israel Annual Conference on Aerospace Sciences 2014
SP - 971
EP - 988
BT - 54th Israel Annual Conference on Aerospace Sciences 2014
PB - Technion – Israel Institute of Technology
T2 - 54th Israel Annual Conference on Aerospace Sciences, IACAS 2014
Y2 - 19 February 2014 through 20 February 2014
ER -