RARX Estimator and Gain Scheduling Controller for On-Line Fault Detection Controller

Vu Trieu Minh; Idris Bin Ibrahim

doi:10.20965/ijat.2010.p0053

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IJAT Vol.4 No.1 pp. 53-57

doi: 10.20965/ijat.2010.p0053

(2010)

Paper:

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RARX Estimator and Gain Scheduling Controller for On-Line Fault Detection Controller

Vu Trieu Minh and Idris Bin Ibrahim

Mechanical Engineering Department, Universiti Teknologi Petronas, Bandar Seri Iskandar, 31750 Tronoh, Perak Darul Ridzuan, Malaysia

Received:

August 5, 2009

Accepted:

September 24, 2009

Published:

January 5, 2010

Keywords:

fault detection, controller reconfiguration, recursive autoregressive exogenous, digital adaptive controller, pole replacement

Abstract

This paper introduces a fault detection and adaptive controller reconfiguration that can determine online stable and free offset errors performance, detect faults quickly, and reconfigure the controller accordingly using recursive autoregressive exogenous estimator (RARX). A fault detection and controller system consists of two main parts: the first is the fault detection and the second is the controller reconfiguration. For the first issue, we propose a simple scheme for detecting faults with RARX estimator. For the second issue, we consider and install a digital adaptive controller with pole replacement. Simulations for the suggested system are illustrated and analyzed.

Cite this article as:

V. Minh and I. Ibrahim, “RARX Estimator and Gain Scheduling Controller for On-Line Fault Detection Controller,” Int. J. Automation Technol., Vol.4 No.1, pp. 53-57, 2010.

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References

[1] V. T. Minh, N. Afzulpurkar, and W. M. W. Muhamad, “Fault Detection and Control of Process Systems,” Mathematical Problems in Engineering, Vol.2007, Article ID 80321, 20 pages, 2007. doi:10.1155/2007/80321.
[2] R. J. Patton, “Fault–Tolerant Control: the 1997 Situation,” In Proceedings of the 3rd IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS ’97), pp. 1033-1055, Hull, UK, August 1997.
[3] M. Blanke, Z. R. Izadi, S. A. Bogh, and C. P. Lunau, “Fault–Tolerant Control Systems – a Holistic View,” Control Engineering Practice, Vol.5, No.10, pp. 693-720, 1997.
[4] Y. M. Zhang and J. Jiang, “Integrated Design of Reconfigurable Fault–Tolerant Control Systems,” Journal of Guidance, Control, and Dynamics, Vol.24, No.1, pp. 133-136, 2001.
[5] H. Nael, G. Adiwinata, and D. Panagiotis, “Fault–Tolerant Control of Process Systems Using Communication Networks,” AIChE Journal, Vol.51, No.6, pp. 1665-1682, 2005.
[6] P. M. Frank, “Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge–Based Redundancy – a Survey and Some New Results,” Automatica, Vol.26, No.3, pp. 459-474, 1990.
[7] J. Gertler, “Survey of Model–Based Failure Detection and Isolation in Complex Plants,” IEEE Control Systems Magazine, Vol.8, No.6, pp. 3-11, 1988.
[8] R. Patton, P. Frank, and R. Clark, “Fault Diagnosis in Dynamic Systems, Theory and Applications,” Prentice–Hall, Englewood Cliffs, NJ, USA, 1989.
[9] L. B. Palma, F. J. Coito, and N. N. Silva, “Adaptive Observer Based Fault Diagnosis Approach Applied to a Thermal Plant,” Proc. 10th Medi. Conference on Control and Automation, Portugal, pp. 115-123, 2002.
[10] H. Yoshida and S. Kumar, “RARX Algorithm Based Model Development and Application to Real Time Data for On–Line Fault Detection,” In Vav Au Units. Proc. of Sixth International Building Performance Simulation Association Conference, Vol.1, pp. 155-161, Kyoto, Japan, 1999.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] V. T. Minh, N. Afzulpurkar, and W. M. W. Muhamad, “Fault Detection and Control of Process Systems,” Mathematical Problems in Engineering, Vol.2007, Article ID 80321, 20 pages, 2007. doi:10.1155/2007/80321.

[2] [2] R. J. Patton, “Fault–Tolerant Control: the 1997 Situation,” In Proceedings of the 3rd IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS ’97), pp. 1033-1055, Hull, UK, August 1997.

[3] [3] M. Blanke, Z. R. Izadi, S. A. Bogh, and C. P. Lunau, “Fault–Tolerant Control Systems – a Holistic View,” Control Engineering Practice, Vol.5, No.10, pp. 693-720, 1997.

[4] [4] Y. M. Zhang and J. Jiang, “Integrated Design of Reconfigurable Fault–Tolerant Control Systems,” Journal of Guidance, Control, and Dynamics, Vol.24, No.1, pp. 133-136, 2001.

[5] [5] H. Nael, G. Adiwinata, and D. Panagiotis, “Fault–Tolerant Control of Process Systems Using Communication Networks,” AIChE Journal, Vol.51, No.6, pp. 1665-1682, 2005.

[6] [6] P. M. Frank, “Fault Diagnosis in Dynamic Systems Using Analytical and Knowledge–Based Redundancy – a Survey and Some New Results,” Automatica, Vol.26, No.3, pp. 459-474, 1990.

[7] [7] J. Gertler, “Survey of Model–Based Failure Detection and Isolation in Complex Plants,” IEEE Control Systems Magazine, Vol.8, No.6, pp. 3-11, 1988.

[8] [8] R. Patton, P. Frank, and R. Clark, “Fault Diagnosis in Dynamic Systems, Theory and Applications,” Prentice–Hall, Englewood Cliffs, NJ, USA, 1989.

[9] [9] L. B. Palma, F. J. Coito, and N. N. Silva, “Adaptive Observer Based Fault Diagnosis Approach Applied to a Thermal Plant,” Proc. 10th Medi. Conference on Control and Automation, Portugal, pp. 115-123, 2002.

[10] [10] H. Yoshida and S. Kumar, “RARX Algorithm Based Model Development and Application to Real Time Data for On–Line Fault Detection,” In Vav Au Units. Proc. of Sixth International Building Performance Simulation Association Conference, Vol.1, pp. 155-161, Kyoto, Japan, 1999.