Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems

Shu-Mei Guo, Jason Sheng-Hon Tsai, Yen C. Lin, Tzong Jiy Tsai, Chia W. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In this paper, a novel intelligent-based fault tolerant control (FTC) framework is proposed to solve the fault tolerant tracking control problem for unknown nonlinear multi-input multi-output (MIMO) systems. To eliminate the effect of faults, a neural network model adapted with the extended Kalman filter (EKF) is created to online identify the unknown systems, and then the steepest descent and evolutionary programming (EP) method is utilized to find a self-tuning proportional-integral-derivative (PID) controller for the adapted neural network. The resulted PID FTC controller can not only achieve the tracking objective but also can maintain the stability and the expected performance when faults occur in system. Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Control and Automation, ICCA 2009
Pages331-336
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Control and Automation, ICCA 2009 - Christchurch, New Zealand
Duration: 2009 Dec 92009 Dec 11

Other

Other2009 IEEE International Conference on Control and Automation, ICCA 2009
CountryNew Zealand
CityChristchurch
Period09-12-0909-12-11

Fingerprint

Derivatives
Neural networks
Controllers
Extended Kalman filters
Evolutionary algorithms
Tuning

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Control and Systems Engineering

Cite this

Guo, S-M., Tsai, J. S-H., Lin, Y. C., Tsai, T. J., & Chen, C. W. (2009). Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems. In 2009 IEEE International Conference on Control and Automation, ICCA 2009 (pp. 331-336). [5410494] https://doi.org/10.1109/ICCA.2009.5410494
Guo, Shu-Mei ; Tsai, Jason Sheng-Hon ; Lin, Yen C. ; Tsai, Tzong Jiy ; Chen, Chia W. / Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems. 2009 IEEE International Conference on Control and Automation, ICCA 2009. 2009. pp. 331-336
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abstract = "In this paper, a novel intelligent-based fault tolerant control (FTC) framework is proposed to solve the fault tolerant tracking control problem for unknown nonlinear multi-input multi-output (MIMO) systems. To eliminate the effect of faults, a neural network model adapted with the extended Kalman filter (EKF) is created to online identify the unknown systems, and then the steepest descent and evolutionary programming (EP) method is utilized to find a self-tuning proportional-integral-derivative (PID) controller for the adapted neural network. The resulted PID FTC controller can not only achieve the tracking objective but also can maintain the stability and the expected performance when faults occur in system. Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.",
author = "Shu-Mei Guo and Tsai, {Jason Sheng-Hon} and Lin, {Yen C.} and Tsai, {Tzong Jiy} and Chen, {Chia W.}",
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Guo, S-M, Tsai, JS-H, Lin, YC, Tsai, TJ & Chen, CW 2009, Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems. in 2009 IEEE International Conference on Control and Automation, ICCA 2009., 5410494, pp. 331-336, 2009 IEEE International Conference on Control and Automation, ICCA 2009, Christchurch, New Zealand, 09-12-09. https://doi.org/10.1109/ICCA.2009.5410494

Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems. / Guo, Shu-Mei; Tsai, Jason Sheng-Hon; Lin, Yen C.; Tsai, Tzong Jiy; Chen, Chia W.

2009 IEEE International Conference on Control and Automation, ICCA 2009. 2009. p. 331-336 5410494.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In this paper, a novel intelligent-based fault tolerant control (FTC) framework is proposed to solve the fault tolerant tracking control problem for unknown nonlinear multi-input multi-output (MIMO) systems. To eliminate the effect of faults, a neural network model adapted with the extended Kalman filter (EKF) is created to online identify the unknown systems, and then the steepest descent and evolutionary programming (EP) method is utilized to find a self-tuning proportional-integral-derivative (PID) controller for the adapted neural network. The resulted PID FTC controller can not only achieve the tracking objective but also can maintain the stability and the expected performance when faults occur in system. Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.

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Guo S-M, Tsai JS-H, Lin YC, Tsai TJ, Chen CW. Intelligent-based PID fault tolerant tracking control for unknown nonlinear MIMO systems. In 2009 IEEE International Conference on Control and Automation, ICCA 2009. 2009. p. 331-336. 5410494 https://doi.org/10.1109/ICCA.2009.5410494