TS Fuzzy Fault-Tolerant Tracking Control of a PV Pumping System Based on an Induction Motor

Abstract

This paper focuses on the Fault-Tolerant Tracking Control (FTTC) design for a PV pumping system using an Induction Motor (IM) drive. This control strategy offsets the effect of the sensor faults and ensures the transfer of optimal power to unit motor–pump. First, to simultaneously estimate the system states and the sensor faults, we developed a Takagi Sugeno (TS) fuzzy descriptor observer. After that, a fault-tolerant controller is synthesized and it is able to track the desired trajectory delivered by a TS fuzzy reference model. The developed control strategy is based on the Lyapunov theory and the H∞ approach, to minimize the disturbances effect. Linear Matrix Inequality (LMI) was solved to calculate the controller and the observer gains. At last, simulations have been done to illustrate the Fault-Tolerant Tracking Control performance of the developed control strategy.

KEYWORDS:

• Descriptor observer
• Fault-tolerant control (FTC)
• Induction motor (IM)
• Linear matrix inequalities (LMI)
• PV pumping system
• TS fuzzy model

Additional information

Notes on contributors

Zeineb Ben Safia

Zeineb Ben Safia was born in Djerba, Tunisia. She received the master's degrees in electrical engineering from the University of Sfax, Tunisia, in 2017. Currently, she is a PhD candidate in electrical engineering at the National Engineering School of Sfax (ENIS). Her research interests include renewable energy, Takagi–Sugeno fuzzy modeling and fault-tolerant control.

Maher Kharrat

Maher Kharrat obtained the PhD degree in electrical engineering in the field of automatic control and computer engineering from ENIS, University of Sfax, Tunisia in 2011. He works as an associate professor of automatic control in the Industrial Computing Department of High Institute of Electronics and Communications of Sfax (ISECS). He is a member of the Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA) of ENIS and an organization chair of the 14th International Conference on Sciences and Techniques of Automatic control and computer engineering since 2010. His currents research interests include systems identification, adaptive control of complex systems, feedback control systems, control theory and subspace identification for linear systems with applications to industrial process. Email: [email protected]

Moez Allouche

Moez Allouche was born in Sfax, Tunisia, on 15 November 1972. He received the master's degree from National Engineering School of Sfax, Tunisia, in 2006. Also, he obtained the PhD degree in electrical engineering from the National Engineering School of Sfax, Tunisia, in 2010. His current research interests are: robust control, fuzzy logic control and D-stability analysis. Email: [email protected]

Mohamed Chaabane

Mohamed Chaabane was born in Sfax, Tunisia. He received the PhD degree in electrical engineering from the University of Nancy, France in1991. He was an associate professor at the University of Nancy and is a researcher at Center of Automatic Control of Nancy (CRAN) from 1988–1992. Actually, he is a professor in ENI-Sfax and editor-in-chief of the International Journal on Sciences and Techniques of Automatic Control and Computer Engineering IJST. Since 1997, he is holding a research position at Automatic Control Unit, ENIS. His main research interests are in the field of robust control, delay systems, descriptor systems and applications of these techniques to fed-batch processes and agriculture systems. Currently, he is an associate editor of International Journal on Sciences and Techniques of Automatic Control & Computer Engineering, IJ-STA (www.sta-tn.com). Email: [email protected]