Abstract
In this paper, a fault estimation technique is addressed to simultaneously estimate system states, actuator, and sensor faults for discrete-time dynamic systems. Specifically, an augmented system is constructed by defining an extended state vector composed of original system states and actuator faults. For this augmented system, an augmented proportional and integral observer is addressed to simultaneously estimate system states, actuator faults as well sensor faults for a discrete-time linear system. A robust augmented proportional and integral observer is designed for Lipschitz nonlinear systems subjected to unknown input uncertainties. The proposed approaches are applied to wind turbine drive train system and electro-mechanical servo system for the validation, which have shown satisfactory estimation performance.
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The authors would like to thank the support from the Starting Research Fund for Talents, Touyan Research Grant in Northeast Petroleum University and the Fundamental Research Grant of Heilongjiang Province (2023TSTD-03).
Zikang Li received his B.S. degree in robotics engineering from Wuhan Business University in 2021. He is now a postgraduate student in Northeast Petroleum University. His research interest is modelbased fault estimation for discrete-time systems.
Zhi-Wei Gao is the Distinguished Professor, founder and director of Research Centre for Digitalization and Intelligent Diagnosis to New Energies at Northeast Petroleum University. His research interests include digital twins, industrial informatics security, and clean energy.
Yuanhong Liu received his B.S. and M.S. degrees from the School of Information and Electrical Engineering, Northeast Petroleum University, in 2003 and 2008, respectively. He received a Ph.D. degree from the Department of Control Science and Engineering, Harbin Institute of Technology, in 2016. His research interests include nonlinear dimension reduction, machine learning and pattern recognition, signal processing. Dr. Liu is the Associate Editor of IEEE Transactions on Industrial Informatics.
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Li, Z., Gao, ZW. & Liu, Y. Augmented Proportional and Integral Observer Design for Fault Estimation in Discrete-time Systems With Applications to Wind Turbine Systems and Electro-mechanical Servo Systems. Int. J. Control Autom. Syst. 22, 2494–2503 (2024). https://doi.org/10.1007/s12555-023-0510-8
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DOI: https://doi.org/10.1007/s12555-023-0510-8