An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems : NARMAX Model and OKID-Based State-Space Self-Tuning Control
Joint Authors
Guo, Shu-Mei
Wang, Chu-Tong
Chen, Chia-Wei
Shieh, Leang-San
Tsai, Jason S. H.
Lin, You
Source
Journal of Control Science and Engineering
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-27, 27 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-28
Country of Publication
Egypt
No. of Pages
27
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
An active fault-tolerant pulse-width-modulated tracker using the nonlinear autoregressive moving average with exogenous inputs model-based state-space self-tuning control is proposed for continuous-time multivariable nonlinear stochastic systems with unknown system parameters, plant noises, measurement noises, and inaccessible system states.
Through observer/Kalman filter identification method, a good initial guess of the unknown parameters of the chosen model is obtained so as to reduce the identification process time and enhance the system performances.
Besides, by modifying the conventional self-tuning control, a fault-tolerant control scheme is also developed.
For the detection of fault occurrence, a quantitative criterion is exploited by comparing the innovation process errors estimated by the Kalman filter estimation algorithm.
In addition, the weighting matrix resetting technique is presented by adjusting and resetting the covariance matrix of parameter estimates to improve the parameter estimation for faulty system recovery.
The technique can effectively cope with partially abrupt and/or gradual system faults and/or input failures with fault detection.
American Psychological Association (APA)
Wang, Chu-Tong& Tsai, Jason S. H.& Chen, Chia-Wei& Lin, You& Guo, Shu-Mei& Shieh, Leang-San. 2010. An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems : NARMAX Model and OKID-Based State-Space Self-Tuning Control. Journal of Control Science and Engineering،Vol. 2010, no. 2010, pp.1-27.
https://search.emarefa.net/detail/BIM-455411
Modern Language Association (MLA)
Wang, Chu-Tong…[et al.]. An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems : NARMAX Model and OKID-Based State-Space Self-Tuning Control. Journal of Control Science and Engineering No. 2010 (2010), pp.1-27.
https://search.emarefa.net/detail/BIM-455411
American Medical Association (AMA)
Wang, Chu-Tong& Tsai, Jason S. H.& Chen, Chia-Wei& Lin, You& Guo, Shu-Mei& Shieh, Leang-San. An Active Fault-Tolerant PWM Tracker for Unknown Nonlinear Stochastic Hybrid Systems : NARMAX Model and OKID-Based State-Space Self-Tuning Control. Journal of Control Science and Engineering. 2010. Vol. 2010, no. 2010, pp.1-27.
https://search.emarefa.net/detail/BIM-455411
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455411