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Robust Output Disturbance, Actuator and Sensor Faults Reconstruction Using H∞ Sliding Mode Descriptor Observer for Uncertain Nonlinear Boiler System

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  • Control Theory and Applications
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Abstract

This paper deals with a robust sliding mode descriptor observer for estimation of states and reconstruction of actuator and sensor faults simultaneously in the presence of uncertainties, measurement noise and output disturbances. In the proposed method, the well-known H∞ concepts are used for minimizing the effects of the uncertainty in the estimation of the states and reconstruction of the faults by using the Linear Matrix Inequalities (LMIs). By considering the sensor fault and output disturbance as auxiliary state vectors, an augmented system is established. As a case study, an industrial boiler is considered and the proposed robust observer illustrates the robust performance on estimation of its states and reconstruction of its faults in the presence of uncertainties.

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Authors and Affiliations

  1. Department of Electrical engineering, Shahid Beheshti University, Tehran, Iran

    Hesam Komari Alaei & Alireza Yazdizadeh

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  1. Hesam Komari Alaei
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  2. Alireza Yazdizadeh
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Corresponding author

Correspondence to Alireza Yazdizadeh.

Additional information

Recommended by Associate Editor M. Chadli under the direction of Editor Duk-Sun Shim.

Hesam Komari Alaei received the B.Sc. and M.Sc degrees in Electrical Engineering from Petroleum University of Technology (PUT), Ahvaz, Iran. His research interests include linear and nonlinear controls and observers, system identification and fault detection and reconstruction.

Alireza Yazdizadeh received the B.Sc. degree in Electrical Engineering, M.Sc degree in Electrical Engineering (Control and Instrumentation) from IUST and University of Tehran, Tehran, Iran, respectively. He continued his education toward a Ph.D. program at Concordia University, Montreal, QC where he worked as a Post Doctorate Fellow (PDF) after graduation. He is now working at SH. Beheshti University, Tehran, Iran as an associate professor and his research interests include nonlinear control, adaptive control and dynamic stable neural networks, fault detection and isolation with applications in power generation plants like gas turbines, combined cycle power plants, wind turbines and solar systems.

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Alaei, H.K., Yazdizadeh, A. Robust Output Disturbance, Actuator and Sensor Faults Reconstruction Using H∞ Sliding Mode Descriptor Observer for Uncertain Nonlinear Boiler System. Int. J. Control Autom. Syst. 16, 1271–1281 (2018). https://doi.org/10.1007/s12555-017-0376-8

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  • DOI: https://doi.org/10.1007/s12555-017-0376-8

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