FAULT DETECTION AND SYSTEM CONTROLLER BASED ON DIGITAL ADAPTIVE CONTROL AND RECURSIVE AUTOREGRESSIVE EXOGENOUS ESTIMATOR

Published 30 Apr 2020 •  vol 13  •  no 4  • 


Authors:

 

Vu Trieu Minh, Mechanical Engineering Department, Universiti Teknologi Petronas, Malaysia
Idris Bin Ibrahim, Mechanical Engineering Department, Universiti Teknologi Petronas, Malaysia

Abstract:

 

This paper develops a digital adaptive controller reconfiguration that can provide online the 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.

Keywords:

 

Fault Detection, Controller Reconfiguration, Recursive Autoregressive Exogenous, Digital Adaptive Controller, Pole Replacement

References:

 


[1] Vu Trieu Minh, Nitin Afzulpurkar, and W. M. Wan 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, N.N. Silva, Adaptive Observer Based Fault Diagnosis Approach Applied to a Thermal Plant, Proc. 10th Medi. Conference on Control and Automation, Portugal, 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. 1:155-161, Kyoto, Japan, 1999.

Citations:

 

APA:
Minh, V. T., & Ibrahim, I. B. (2020). Fault Detection and System Controller Based on Digital Adaptive Control and Recursive Autoregressive Exogenous Estimator. International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, 13(4), 27-34. doi: 10.33832/ijca.2020.13.4.03.

MLA:
Minh, Vu Trieu, et al. “Fault Detection and System Controller Based on Digital Adaptive Control and Recursive Autoregressive Exogenous Estimator.” International Journal of Control and Automation, ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 4, 2020, pp. 27-34. IJCA, http://article.nadiapub.com/IJCA/vol13_no4/3.html.

IEEE:
[1] V. T. Minh, and I. B. Ibrahim, "Fault Detection and System Controller Based on Digital Adaptive Control and Recursive Autoregressive Exogenous Estimator." International Journal of Control and Automation (IJCA), ISSN: 2005-4297 (Print); 2207-6387 (Online), NADIA, vol. 13, no. 4, pp. 27-34, Apr 2020.