New Approach for a Fault Detect Model-Based Controller
In this paper, we present a design of a new fault detect model-based (FDMB) controller system. The system is aimed to detect faults quickly and reconfigure the controller accordingly. Thus, such system can perform its function correctly even in the presence of internal faults. An FDMB controller consists of two main parts, the first is fault detection and diagnosis (FDD); and the second is controller reconfiguration (CR). Systems subject to such faults are modelled as stochastic hybrid dynamic model. Each fault is deterministically represented by a mode in a discrete set of models. The FDD is used with interacting multiple-model (IMM) estimator and the CR is used with generalized predictive control (GPC) algorithm. Simulations for the proposed controller are illustrated and analysed.
 Li, R., “Hybrid Estimation Techniques”, Control and Dynamic Systems, New York, Academic Press, Vol. 76, pp. 213-287, 1996.
 Kanev, S., Verhaegn, M., “Controller Reconfiguration for Non-linear Systems”, Control Engineering Practice, Vol 8, 11, pp. 1223-1235, 2000.
 Zhang, Y., Li, R., “Detection and Diagnosis of Sensor and Actuator Failures Using IMM Estimator”, IEEE Trans. On Aerospace and Electronic Systems, Vol. 34, 4, 1998.
 Shalom Y., and Tse, E., “Tracking in a Cluttered Environment with Probabilistic Data Association”, Automatica, Vol. 11, pp. 451-460, 1975.
 Ackerson, G., and Fu, K., “On State Estimation in Switching Environments”. IEEE Trans. On Automatic Control, Vol. 15, 1, pp. 10-17, 1970.
 Tugnait, J., “Detection and Estimation of Abruptly Changing Systems”. Automatica, Vol 18, pp. 607-615, 1982.
 Blom, H., and Shalom, Y., “The Interacting Multiple Model Algorithm for System with Markovian Switching Coefficients” IEEE Trans on Automatic Control, Vol 33, 8, pp. 780-785, 1983.
 Clarke D. W., C. Mohtadi and P. S. Tuffs (1987b). ‘Generalized Predictive Control – Extensions and Interpretations’ Automatica, 23(2), 149-160.
 Clarke, D.W. C. Mohtadi and P.S. Tuffs (1987a) “Generalized Predictive Control: I. The Basic Algorithm” Automatica, 23(2), 137-147.
 Kinnaert M. (1989). ‘Adaptive Generalized Predictive Control for MIMO Systems’ Int. J. Control. 50(1), 161-172.
 VT Minh, Mohd Hashim, ‘Adaptive teleoperation system with neural network-based multiple model control’, Mathematical Problems in Engineering Volume 2010, Article ID 592054, 15 pages, 2010. http://dx.doi.org/10.1155/2010/592054.
 VT Minh, John Pumwa, ‘Feasible path planning for autonomous vehicles’ Mathematical Problems in Engineering Volume 2014, Article ID 317494, 12 pages, 2014. http://dx.doi.org/10.1155/2014/317494.
 VT Minh, et al. ‘Development of a Wireless Sensor Network Combining MATLAB and Embedded Microcontrollers’, Sensor Letters, 13(12), pp. 1091-1096, 2015. http://dx.doi.org/10.1166/sl.2015.3594.
 V.T. Minh and R. Khanna, “Application of Artificial Intelligence in Smart Kitchen”, International Journal of Innovative Technology and Interdisciplinary Sciences, vol. 1, no. 1, pp. 1-8, Nov. 2018.
 I. Ovchinnikov and P. Kovalenko, “Predictive Control Model to Simulate Humanoid Gait”, International Journal of Innovative Technology and Interdisciplinary Sciences, vol. 1, no. 1, pp. 9-17, Nov. 2018.
Copyright (c) 2018 International Journal of Innovative Technology and Interdisciplinary Sciences
This work is licensed under a Creative Commons Attribution 4.0 International License.