Fault Tolerant Fuzzy Logic Control of a 6-Phase Induction Generator for Wind Turbine Energy Production

Abstract

Abstract—In this paper, a fault tolerant fuzzy logic control of a 6-phase induction generator for wind turbine energy production is proposed. The aim is to define a suitable fault tolerant control algorithm based on the fuzzy logic theory. This control algorithm allows the electrical generation even with the presence of one to three missing phases or power converter legs fault situations. The proposed algorithm is tested on an experimental 24 kW wind turbine test bed that represents a 1/100 of the electrical power of a grid connected real wind turbine generator (2.5 MW). A comparison between simulation and experimental results is performed in order to validate the control algorithm effectiveness in healthy and faulty (1 missing phase) modes. Furthermore, the proposed strategy has been compared to classical PI regulators tuned for each kind of faults, while the proposed fuzzy logic controller can be applied in both healthy and any faulty modes without any tuning and detection system.

Keywords:

• six-phase induction generator
• wind turbines
• fuzzy logic control
• fault tolerant control

Additional information

Notes on contributors

Alin Pantea

Alin Pantea was born in Reghin, Romania. He received the B.Sc. degree in electrical engineering from the Technical University of Cluj-Napoca, Cluj-Napoca, Romania, in 2009, and the M.S. degree in intelligent systems for transportation from the University of Technology of Compiegne, Compiegne, France, in 2011, the Ph.D. degree in electrical engineering from the University of Picardie Jules Verne, Amiens, France in 2017. He is currently working for Bosch at Cluj-Napoca (Romania). His research interests include modeling, simulation, control, tests, and analysis of electrical machines and drives.

Omar Bouyahia

Omar Bouyahia received the M.Sc. in electrical systems engineering from the Artois University in 2019, Bethune, France. He currently working toward the Ph.D. thesis in electrical engineering at the University of Picardie Jules Verne, Amiens, France. His research interests include the simulation, testing, and developing of robust and fault-tolerant control strategy for electrical machines and drives.

Alaaeddine Abdallah

Alaaeddine Abdallah received the Master of Science in Electrical Engineering from Beirut Arab University. He is currently preparing a PhD at the University of Picardie Jules Verne. His main research topic is about control of multiphase machines.

Amine Yazidi

Amine Yazidi received in 2003 the M.S. Degree in Electrical Engineering and Industrial Informatics from the University of Picardie Jules Verne in Amiens, (France) and the M.S. degree in perception and information analysis from the University of Rouen (France), the Ph.D. degree in electrical engineering from the university of Picardie ‘Jules Verne’, Amiens (France) in 2006. In 2007, he joined the University of Picardie “Jules Verne”, Amiens (France) as an Associate Professor in the Department of Electrical Engineering. His research interests include electric power components and systems.

Franck Betin

Franck Betin was born in Saint Quentin, France. He received the M.S. Degree in Electrical Engineering and Industrial Informatics in 1993 from the University of Reims-Champagne-Ardenne, France, the Ph.D. degree from the University of Reims-Champagne-Ardenne, France, in 1995 and the D.Sc in 2003 from the University of Picardie Jules Verne, France. In 2004, he joined the University of Picardie Jules Verne, France, as a Full Professor. He has been headmaster of the Technical University Institute of Aisne from 2008 to 2013. His major research interest is the advanced control of electrical machines and drives especially using fuzzy logic algorithm and variable structure control.