Iterative Learning Observer-based Sliding Mode Fault Tolerant Control of a Rigid-Flexible System with External Disturbances

Authors

Aerospace research institute (Ministry of science, research and technology)

Abstract

The paper discusses the design of an observer-based fault-tolerant control algorithm and active vibration control for attitude stailization of a flexible spacecraft (as a rigid-flexible system) subject to external disturbances. An iterative learning observer has been developed in order to estimate the torque deviation caused by actuator faults. One of the main features of the proposed observer is the consideration of external disturbances in its structure. Next, a fault-tolerant sliding mode control (SMC) law based on a proportional-integral-derivative (PID) structure with a time-varying switching gain is proposed in order to generate control signals with ideal performance. To minimize residual vibrations during and after the maneuver, the strain rate feedback (SRF) control algorithm is also activated simultaneously with fault-tolerant control. Using Lyapunov theory, the proposed control strategies guarantee global stability for the closed loop system. Numerical simulations as a comparative study have been used to demonstrate the effectiveness of the developed system compared to conventional algorithms, such as integral sliding mode control, when handling actuator failures, external disturbances, and flexible body excitations in rigid-flexible dynamic systems.

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References

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Journal of Solid and Fluid Mechanics
Volume 13, Issue 4
September and October 2023
Pages 39-51

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