Regular Papers

International Journal of Control, Automation and Systems 2017; 15(2): 527-536

Published online February 11, 2017

https://doi.org/10.1007/s12555-015-0384-5

© The International Journal of Control, Automation, and Systems

Decentralized Fault Tolerant Control of a Class of Nonlinear Interconnected Systems

Hasan Ferdowsi* and Sarangapani Jagannathan

Missouri University of Science and Technology

Abstract

In this paper, a novel decentralized fault tolerant controller (DFTC) is proposed for interconnected nonlinear continuous-time systems by using local subsystem state vector alone in contrast with traditional distributed fault tolerant controllers or fault accommodation schemes where the measured or the estimated state vector of the overall system is needed. The proposed decentralized controller uses local state and input vectors and minimizes the fault effects on all the subsystems. The DFTC in each subsystem includes a traditional controller term and a neural network based online approximator term which is used to deal with the unknown parts of the system dynamics, such as fault and interconnection terms. The stability of the overall system with the proposed DFTC is investigated by using Lyapunov approach and the boundedness of all signals is guaranteed in the presence of a fault. Therefore, the proposed controller enables the system to continue its normal operation after the occurrence of a fault, as long as it does not cause failure or break down of a component. Although the decentralized fault tolerant controller is designed mainly for large-scale systems where continuous transmissions between subsystems is not possible, it can also be applied to small-scale systems where sensor measurements are available for use in all subsystems. Finally the proposed methods are verified and compared in simulation environment."

Keywords Adaptive control, fault tolerant control, large-scale systems, neural networks, nonlinear systems.

Article

Regular Papers

International Journal of Control, Automation and Systems 2017; 15(2): 527-536

Published online April 1, 2017 https://doi.org/10.1007/s12555-015-0384-5

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

Decentralized Fault Tolerant Control of a Class of Nonlinear Interconnected Systems

Hasan Ferdowsi* and Sarangapani Jagannathan

Missouri University of Science and Technology

Abstract

In this paper, a novel decentralized fault tolerant controller (DFTC) is proposed for interconnected nonlinear continuous-time systems by using local subsystem state vector alone in contrast with traditional distributed fault tolerant controllers or fault accommodation schemes where the measured or the estimated state vector of the overall system is needed. The proposed decentralized controller uses local state and input vectors and minimizes the fault effects on all the subsystems. The DFTC in each subsystem includes a traditional controller term and a neural network based online approximator term which is used to deal with the unknown parts of the system dynamics, such as fault and interconnection terms. The stability of the overall system with the proposed DFTC is investigated by using Lyapunov approach and the boundedness of all signals is guaranteed in the presence of a fault. Therefore, the proposed controller enables the system to continue its normal operation after the occurrence of a fault, as long as it does not cause failure or break down of a component. Although the decentralized fault tolerant controller is designed mainly for large-scale systems where continuous transmissions between subsystems is not possible, it can also be applied to small-scale systems where sensor measurements are available for use in all subsystems. Finally the proposed methods are verified and compared in simulation environment."

Keywords: Adaptive control, fault tolerant control, large-scale systems, neural networks, nonlinear systems.

IJCAS
July 2024

Vol. 22, No. 7, pp. 2055~2340

Stats or Metrics

Share this article on

  • line

Related articles in IJCAS

IJCAS

eISSN 2005-4092
pISSN 1598-6446