Regular Papers

International Journal of Control, Automation and Systems 2019; 17(6): 1421-1431

Published online May 30, 2019

https://doi.org/10.1007/s12555-018-0729-y

© The International Journal of Control, Automation, and Systems

Adaptive Fault-Tolerant Neural Control for Large-scale Systems with Actuator Faults

Jianye Gong, Bin Jiang, and Qikun Shen*

Yangzhou University

Abstract

The active adaptive fault-tolerant neural control problem is discussed for large-scale uncertain systems against actuator faults. The unknown interconnections among subsystems are assumed to be nonlinear, not traditional linear. A general actuator fault model is proposed, which integrates bias and gain time-varying faults. Then, based on Lyapunov stability theory, a novel fault diagnostic algorithm and accommodation scheme are proposed,where the assumptions in the existing works are removed and fault-tolerant controller singularity problem is avoided. Finally, simulation results of near space vehicle show the efficiency of the presented control approach.

Keywords Adaptive control, fault diagnosis, fault-tolerant control, neural control.

Article

Regular Papers

International Journal of Control, Automation and Systems 2019; 17(6): 1421-1431

Published online June 1, 2019 https://doi.org/10.1007/s12555-018-0729-y

Copyright © The International Journal of Control, Automation, and Systems.

Adaptive Fault-Tolerant Neural Control for Large-scale Systems with Actuator Faults

Jianye Gong, Bin Jiang, and Qikun Shen*

Yangzhou University

Abstract

The active adaptive fault-tolerant neural control problem is discussed for large-scale uncertain systems against actuator faults. The unknown interconnections among subsystems are assumed to be nonlinear, not traditional linear. A general actuator fault model is proposed, which integrates bias and gain time-varying faults. Then, based on Lyapunov stability theory, a novel fault diagnostic algorithm and accommodation scheme are proposed,where the assumptions in the existing works are removed and fault-tolerant controller singularity problem is avoided. Finally, simulation results of near space vehicle show the efficiency of the presented control approach.

Keywords: Adaptive control, fault diagnosis, fault-tolerant control, neural control.

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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