Distributed Adaptive Attitude Takeover Control of Failed Spacecraft With Parameters Identification

Abstract

The attitude takeover control and parameter identification for reclaiming a spacecraft with a failed attitude control system (ACS) by multiple small satellites are investigated in this brief. A distributed adaptive control law based on the concurrent learning method is proposed, which can generate the attitude control command and identify the inertia matrix of the combined spacecraft in a distributed way. In this method, each small satellite calculates its own command torque and estimates the total torque applied to the combined spacecraft to identify the inertia matrix. To reduce consensus errors of inertia matrix identifications and the torque estimation errors, a compensation term based on parameter interaction is introduced in the adaptive law. Finally, numerical simulations are carried out to illustrate the effectiveness of the distributed adaptive control law.