Implementation of an Innovative Simplified Sliding Mode Observer-Based Robust Fault Detection in a Drum Boiler System
One of the robust fault detection filter (RFDF)
designing method is based on sliding-mode theory. The main purpose
of our study is to introduce an innovative simplified reference
residual model generator to formulate the RFDF as a sliding-mode
observer without any manipulation package or transformation matrix,
through which the generated residual signals can be evaluated. So the
proposed design is more explicit and requires less design parameters
in comparison with approaches requiring changing coordinates. To
the best author's knowledge, this is the first time that the sliding
mode technique is applied to detect actuator and sensor faults in a
real boiler. The designing procedure is proposed in a drum boiler in
Synvendska Kraft AB Plant in Malmo, Sweden as a multivariable
and strongly coupled system. It is demonstrated that both sensor and
actuator faults can robustly be detected. Also sensor faults can be
diagnosed and isolated through this method.
[1] A. Ashraf-Modarres, M.R. Jahed-Motlagh, "Improving Boiler Efficiency
through Software Methods in Thermal Power Plants", in Proc. 17th
International Power System Conf, Tehran-Iran, 2002.
[2] A.-J Chen and B.-P.-R. Patton, Robust model-based fault diagnosis for
dynamic systems. Kluwer Academic Publishers, USA: MA, 1999, pp. 1-
14.
[3] P. Q. Ha, "Dynamic output feedback sliding-mode control using pole
placement and linear functional observers", IEEE Trans. Industrial
Electronics, Vol. 50, No. 5, pp. 1030-1037, Oct, 2003.
[4] B. L. Walcott, and S. H. Zak, "State observation of nonlinear uncertain
dynamic systems", IEEE Trans. Automatic Control, Vol. 32, No. 2, pp.
166-170, , 1987.
[5] B. Walcott and S. H. Zak, "Combined observer controller synthesis for
uncertain dynamical systems with applications" , IEEE Trans on
Systems, Man and Cybernetics, Vol. 18, No. 1, pp. 88-104, Aug,1988.
[6] M. Darouach, M. Zasadzinski, and S. J. Xu, "Full-order observers for
linear systems with unknown inputs", IEEE Trans on Automatic Control,
Vol. 39, No. 3, pp. 606-609, Aug, 2002.
[7] W. Chen and M. Saif, "Unknown input observer design for a class of
nonlinear systems: and LMI approach", in 2006 Proc. AERICAN
CONTROL Conf, USA, pp. 834-838.
[8] S. Hui and S. H. Zak, "Low-order unknown input observers", in 2005
Proc. AERICAN CONTROL Conf, USA, pp. 4192-4197.
[9] S. Hui and S. H. Zak, "Observer design for systems with unknown
input", International Journal of Applied Mathematics and Computer
Science, Vol.15, No. 4, pp. 431-446,Dec, 2005.
[10] H. H. Choi, K. S. Ro, "LMI based sliding-mode observer design
method", IEE Proc, Control Theory and Applications, vol. 152, No. 1,
pp. 113-115, Feb, 2005.
[11] C. P. Tan and C. Edwards, "An LMI approach for designing sliding
mode observers", in 2000 Proc. 39th IEEE Int. Conf. Decision and
Control, Australia, pp. 2587-2592.
[12] C. Edwards, S. K. Spurgeon, and R. J. Patton, "Sliding mode observers
for fault detection and isolation", Elsevier, Automatica, Vol. 36, No. 4,
pp. 541-553, Apr 2000.
[13] S. Dhahri, F. Ben Hamida, A. Sellami, M. Gossa, "LMI-based Sliding-
Mode Observer Design Method for Reconstruction of Actuator and
Sensor Faults", Springer, Int. Journal on Sciences and Technologies of
Automatic Control, Vol. 1, No. 1, p.p. 91-107, Jun 2007.
[14] Jean-Jacques E. Slotine, Weiping Li, Applied Nonlinear Control,
Prentice-Hall, New Jersey: Eglewood Cliffs, 1991, p.p 276-306.
[15] A. K J Astrom and B. R D Bell, "Drum Boiler Dynamics", Elsevier,
Automatica, Vol. 36, No. 3, pp. 363-378, Mar 2000.
[16] A. F.Khani and B. A.Yazdizadeh, "Boiler -Turbine Unit Controller
Design Based on the Extended State Observer", in Proc. IEEE Int. Conf.
on Control and Automation, New Zealand, 2009, pp. 2066-2071.
[17] A. Arun K. Samantaray and B. Belkacem Ould Bouamama, Model-based
Process Supervision: A Bond Graph Approach, Springer, London, 2008,
p.p. 265-266.
[1] A. Ashraf-Modarres, M.R. Jahed-Motlagh, "Improving Boiler Efficiency
through Software Methods in Thermal Power Plants", in Proc. 17th
International Power System Conf, Tehran-Iran, 2002.
[2] A.-J Chen and B.-P.-R. Patton, Robust model-based fault diagnosis for
dynamic systems. Kluwer Academic Publishers, USA: MA, 1999, pp. 1-
14.
[3] P. Q. Ha, "Dynamic output feedback sliding-mode control using pole
placement and linear functional observers", IEEE Trans. Industrial
Electronics, Vol. 50, No. 5, pp. 1030-1037, Oct, 2003.
[4] B. L. Walcott, and S. H. Zak, "State observation of nonlinear uncertain
dynamic systems", IEEE Trans. Automatic Control, Vol. 32, No. 2, pp.
166-170, , 1987.
[5] B. Walcott and S. H. Zak, "Combined observer controller synthesis for
uncertain dynamical systems with applications" , IEEE Trans on
Systems, Man and Cybernetics, Vol. 18, No. 1, pp. 88-104, Aug,1988.
[6] M. Darouach, M. Zasadzinski, and S. J. Xu, "Full-order observers for
linear systems with unknown inputs", IEEE Trans on Automatic Control,
Vol. 39, No. 3, pp. 606-609, Aug, 2002.
[7] W. Chen and M. Saif, "Unknown input observer design for a class of
nonlinear systems: and LMI approach", in 2006 Proc. AERICAN
CONTROL Conf, USA, pp. 834-838.
[8] S. Hui and S. H. Zak, "Low-order unknown input observers", in 2005
Proc. AERICAN CONTROL Conf, USA, pp. 4192-4197.
[9] S. Hui and S. H. Zak, "Observer design for systems with unknown
input", International Journal of Applied Mathematics and Computer
Science, Vol.15, No. 4, pp. 431-446,Dec, 2005.
[10] H. H. Choi, K. S. Ro, "LMI based sliding-mode observer design
method", IEE Proc, Control Theory and Applications, vol. 152, No. 1,
pp. 113-115, Feb, 2005.
[11] C. P. Tan and C. Edwards, "An LMI approach for designing sliding
mode observers", in 2000 Proc. 39th IEEE Int. Conf. Decision and
Control, Australia, pp. 2587-2592.
[12] C. Edwards, S. K. Spurgeon, and R. J. Patton, "Sliding mode observers
for fault detection and isolation", Elsevier, Automatica, Vol. 36, No. 4,
pp. 541-553, Apr 2000.
[13] S. Dhahri, F. Ben Hamida, A. Sellami, M. Gossa, "LMI-based Sliding-
Mode Observer Design Method for Reconstruction of Actuator and
Sensor Faults", Springer, Int. Journal on Sciences and Technologies of
Automatic Control, Vol. 1, No. 1, p.p. 91-107, Jun 2007.
[14] Jean-Jacques E. Slotine, Weiping Li, Applied Nonlinear Control,
Prentice-Hall, New Jersey: Eglewood Cliffs, 1991, p.p 276-306.
[15] A. K J Astrom and B. R D Bell, "Drum Boiler Dynamics", Elsevier,
Automatica, Vol. 36, No. 3, pp. 363-378, Mar 2000.
[16] A. F.Khani and B. A.Yazdizadeh, "Boiler -Turbine Unit Controller
Design Based on the Extended State Observer", in Proc. IEEE Int. Conf.
on Control and Automation, New Zealand, 2009, pp. 2066-2071.
[17] A. Arun K. Samantaray and B. Belkacem Ould Bouamama, Model-based
Process Supervision: A Bond Graph Approach, Springer, London, 2008,
p.p. 265-266.
@article{"International Journal of Information, Control and Computer Sciences:61231", author = "L. Khoshnevisan and H. R. Momeni and A. Ashraf-Modarres", title = "Implementation of an Innovative Simplified Sliding Mode Observer-Based Robust Fault Detection in a Drum Boiler System", abstract = "One of the robust fault detection filter (RFDF)
designing method is based on sliding-mode theory. The main purpose
of our study is to introduce an innovative simplified reference
residual model generator to formulate the RFDF as a sliding-mode
observer without any manipulation package or transformation matrix,
through which the generated residual signals can be evaluated. So the
proposed design is more explicit and requires less design parameters
in comparison with approaches requiring changing coordinates. To
the best author's knowledge, this is the first time that the sliding
mode technique is applied to detect actuator and sensor faults in a
real boiler. The designing procedure is proposed in a drum boiler in
Synvendska Kraft AB Plant in Malmo, Sweden as a multivariable
and strongly coupled system. It is demonstrated that both sensor and
actuator faults can robustly be detected. Also sensor faults can be
diagnosed and isolated through this method.", keywords = "Boiler, fault detection, robustness, simplified
sliding-mode observer.", volume = "5", number = "1", pages = "88-5", }
