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Observer-based robust actuator fault isolation and identification for microsatellite attitude control systems
Aircraft Engineering and Aerospace Technology  (IF0.975),  Pub Date : 2021-08-14, DOI: 10.1108/aeat-10-2020-0224
Huayi Li, Qingxian Jia, Rui Ma, Xueqin Chen

Purpose

The purpose of this paper is to accomplish robust actuator fault isolation and identification for microsatellite attitude control systems (ACSs) subject to a series of space disturbance torques and gyro drifts.

Design/methodology/approach

For the satellite attitude dynamics with Lipschitz constraint, a multi-objective nonlinear unknown input observer (NUIO) is explored to accomplish robust actuator fault isolation based on a synthesis of Hinf techniques and regional pole assignment technique. Subsequently, a novel disturbance-decoupling learning observer (D2LO) is proposed to identify the isolated actuator fault accurately. Additionally, the design of the NUIO and the D2LO are reformulated into convex optimization problems involving linear matrix inequalities (LMIs), which can be readily solved using standard LMI tools.

Findings

The simulation studies on a microsatellite example are performed to prove the effectiveness and applicability of the proposed robust actuator fault isolation and identification methodologies.

Practical implications

This research includes implications for the enhancement of reliability and safety of on-orbit microsatellites.

Originality/value

This study proposes novel NUIO-based robust fault isolation and D2LO-based robust fault identification methodologies for spacecraft ACSs subject to a series of space disturbance torques and gyro drifts.