Fault-Tolerant Control of a Nonlinear Process with Input Constraints

Document Type : Research Article

Authors

1 Electrical Engineering Department, Islamic Azad University, Science and Research Branch, Tehran, I.R. IRAN

2 Automation and Instrumentation Department, Petroleum University of Technology, Tehran, I.R. IRAN

3 Electrical Engineering Department, University of Tehran, Tehran, I.R. IRAN

Abstract

A Fault-Tolerant Control (FTC) methodology has been presented for nonlinear processes being imposed by control input constraints. The proposed methodology uses a combination of Feedback Linearization and Model Predictive Control (FLMPC) schemes. The resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the design context a non-trivial task. A feasible direction method has been integrated in the design procedure based on active set technique to resolve the challenging constraint–based FLMPC problem. The formulated FLMPC design method is utilized to develop a FTC scheme by providing a set of backup control configurations for a CSTR benchmark process. The successful performance of the proposed FTC methodology has been demonstrated via a category of common fault scenarios by exercising an arbitrary replacement of control configurations through a supervisor to maintain the CSTR operation at an unstable desired steady-state point.

Keywords

References

1] El-Farra N.H., Christofides P.D., Integrating Robustness, Optimality and Constraints in Control of Nonlinear Processes, Chemical Engineering Science, Elsevier, p. 1841, (2001).
[2] El-Farra N.H., Christofides P.D., Bounded Robust Control of Constrained Multivariable Nonlinear Processes, Chemical Engineering Science, Elsevier, p.3025, (2003).
[3] El-Farra N. H., Christofides P. D., Coordinating Feedback and Switching for Control of Hybrid nonlinear Processes, AIChE Journal, 49(8),( 2003).
[4] El-Farra N. H., Christofides P. D., Fault-Tolerant Control of Process Systems: Integrating Supervisory and Feedback Control Over Networks, In: "Proceedings of 5th International Symposium on Advanced Control of  Chemical Processes", Hong Kong, P.R. China, p. 784, (2004).
[5] El-Farra N. H., Christofides P. D., Fault-Tolerant Control of Process Systems Using Communication Networks, AIChE Journal, 51(6), p. 1665,(ََ2005).
[6] Mhaskar P., Gani A., El-Farra N. H., Integrated Fault-Detection and Fault-Tolerant Control of Process Systems, AIChE Journal, 52(6), p. 2129 (2006).
[7] Slotine J.J., Li W., “Applied Nonlinear Control”, Prentice-Hall, Chapter 6, (1991).
[8] Qajar A., Bozorgmehry Boozarjomehry R., Optimal Control of Nonlinear Multivariable Systems, Iranian Journal Chemistry and Chemical Engineering, 28(2) (2009).
[9] Isidori A., “Nonlinear control systems”, 2nd Edition, Springer,Berlin /New York (1995).
[10] Kurtz M.J., Henson M.A., Feedback Linearizing Control of Discrete-Time Nonlinear Systems with Input Constraints, International Journal Control, 70(4), p. 603 (1998).
[11] Camacho E.F., Bordons C., “Model Predictive Control”, 2ndEdition, Springer,Britain, Chapter 3, (2000).
Iranian Journal of Chemistry and Chemical Engineering
Volume 31, Issue 3 - Serial Number 63
September 2012
Pages 133-144

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