Reliable Accuracy of On-line Permanent Magnet Synchronous Machine Parameters’ Identification Process by Using a Meta-heuristic Optimization Algorithm

Abstract

In wind energy systems, it is necessary to have a good knowledge of the used generator and its parameters. Despite the motor manufacturer’s specifications, accurately estimating the machine parameter reference values is critical for the perfect control system. In this context, off-line identification tests of a 3 kW permanent magnet synchronous machine were conducted to determine the mechanical and electrical parameters. In addition, this research exploits a meta-heuristic optimization technic dubbed grey wolf optimizer in the on-line parameter’s identification field. The estimate method is focused on the parameter’s estimation linked to a reference model. The rule is based on the cancelation of the current error among the measured and the associated estimated current. For each measurement, the grey wolf estimator adapts the reference model parameters until the model response and the accurate response be similar. All were implemented using the real-time interface of the DSpace DS1104 Controller card while using the ControlDesk graphical user interface and the Simulink/MATLAB environments. Results from hardware simulation confirm the efficacy and benefits of the suggested strategy.

Keywords:

• PMSM
• off-line identification
• on-line identification
• GWO
• MATLAB/Simulink
• DSpace 1104

Acknowledgments

The authors acknowledge the support provided by the “Unité de Recherche en Energies Renouvelables en Milieu Saharien (URERMS), Center de Développement des Energies Renouvelables (CDER)” in Adrar, Algeria, to make and finalize this work and also thank the ICARES22 conference participants and any experts for their valuable comments.

Disclosure statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Notes on contributors

Khayra Roummani

Khayra Roummani is currently a Senior Researcher at the Research Unit in Renewable Energies in the Saharan Medium (URER-MS) in Adrar, Algeria. She received the Engineer and master’s degree in Electrotechnics from the USTO University of Oran, Algeria, in 2010 and 2012, respectively. She received the Magister degree in Electrical Engineering (Analysis and Control of Electric Machines) from the Polytechnic National School of Oran ENPO in 2013, and Ph.D. degrees in Electrotechnics (Electric Controls) from the USTO University of Oran in 2020. Her main research interests are: Renewable Energy systems, Wind Energy Conversion Systems, Photovoltaic systems, Electric machine controls.

Khaled Koussa

Khaled Koussa is currently a Permanent Researcher at the Research Unit in Renewable Energies in the Saharan Medium (URER-MS) in Adrar, Algeria. He received the Engineer degree in Instrumentation from Oran University in 2010 and the Magister degree in electronic, from the Polytechnic national school (Oran, Algeria), in 2013. Currently, he is a Ph.D student in Electrical engineering at University of Bechar, Algeria. His main research interests are focused on advance control and diagnostic of Drives, electrical machines drives, process control, renewable energy systems control, wind energy.

Fateh Ferroudji

Fateh Ferroudji is currently Director of Research (Full Professor), in Mechanical Engineering at Research Unit in Renewable Energy in Saharan Medium in ADRAR (URER-MS). He received his B.S., M.S. and Ph.D. degrees in Mechanical Engineering (Engineering Construction) from the Mustapha Ben Boulaid University of Batna 2, Algeria, in 2004, 2008 and 2015, respectively. In 2017, he received the Habilitation Diploma degree from the Mohamed Tahri University of Bechar. His current research interests include structural Mechanics (stability and dynamic), computer-Aided Analysis, design of Wind and Solar tracking structures and virtual Prototyping technology.

Lakhdar Saihi

Lakhdar Saihi is currently a Senior Researcher at the Research Unit in Renewable Energies in the Saharan Medium (URER-MS) in Adrar Algeria. He received the Engineer degree in Instrumentation from Oran University in 2010 and the Magister degree in Automatic, from the Polytechnic national school (Oran, Algeria), in 2014. and Ph.D. degrees in Electrical Engineering from in University of Bechar, Algeria in 2021. His main research interests are focused on advance control of Drives, electrical machines drives, process control, sensor-less control of electrical machine, renewable energy systems control, wind energy, robust and nonlinear control.

Amina Bekraoui

Amina Bekraoui is currently a Senior Researcher at the Research Unit in Renewable Energies in the Saharan Medium (URER-MS) in Adrar Algeria. She received her engineering degree in electronic and Magister in physical energy from Adrar University in 2010 and 2014. In 2020, she obtained a Ph.D. degree in physics from the University of Boumerdès. Her research is mainly in the areas of Renewable Energy Systems, flow measurement, custody transfer, telecommunication systems, thermal engines.

Fatiha Bekraoui

Fatiha Bekraoui is an electrical PhD (Electric machines) in 2023 from the University of Adrar, Algeria. She received BS Degree in Electronics from the USTO University of Oran, Algeria, in 2015. She received the master’s degree in electrical engineering (control of electric machines) from the University of Adrar in 2017. Her main research interests are: Renewable Energy systems, Wind Energy Conversion Systems, Photovoltaic systems, Electric machine controls.