Fuzzy Logic Control of Asynchronous Machine Drives With a Fractional Calculus Technique

Abstract

Abstract—This paper proposes the use of fractional-order fuzzy logic (FOFL) to control the rotational speed of asynchronous machines (AMs) using the pulse width modulation and compares the results with field-oriented command (FOC). The contributions of this paper are to use FOFL instead of proportional-integral (PI) controller to control torque and flux and prove that it can reduce torque ripple and increase durability of control system. This work reveals that this strategy is very suitable to efficiently control systems without knowing their mathematical model, as is the case with FOC. The FOFL is tested with numerical simulations conducted in Matlab software under the different tests, where the obtained results are compared with FOC. The simulation results showed that the FOFL provided a clearly better performance in decreasing the torque, current, and flux ripples, where, compared to the FOC, the ripple reduction ratio was estimated at 44.44%, 51.72%, and 80.95% for torque, current, and flux, respectively. In addition, the FOFL reduces the time responses for changes in the speed, flux, and torque, where, compared to FOC, the FOFL minimized the time response by rates estimated at 4.47%, 94.77%, and 89.44% for each of the speed, flux, and torque, respectively.

Keywords:

• Asynchronous machines
• fractional-order fuzzy logic
• field-Oriented command
• proportional-integral (PI) controller
• matlab software

Disclosure Statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Dalal Zellouma

Dalal Zellouma was born in Al-Oued, Algeria, in 1994. He obtained a bachelor’s degree in electrotechnical engineering from the University of Al-Oued, Algeria, in 2017. Then he obtained a master’s degree in electrical machines from the University of Al-Oued, in 2019. Currently, she is a doctoral student in electrical control at the University of El Oued in Algeria. Her areas of interest are electric motors and process control, mass optimization, and the application of artificial intelligence techniques.

Habib Benbouhenni

Habib Benbouhenni was born in chlef, Algeria. He received the Ph.D. degree in electrical engineering from the ENPO-MA, Oran, Algeria. He received a M.A. degree in Automatic and industrial informatics in 2017. He is currently professor with the University of Nisantasi, Turkey. He is editor of seven books and more than 200 papers in scientific fields related to electrical engineering. In recent years, Habib Benbouhenni has served as a committee member of several scientific conferences such as ECAI-2024 and ECA-2023. He is also a committee member of Symmetry and EPCS journals. His research activities include the application of robust control in wind turbine power systems.

Youcef Bekakra

Youcef Bekakra was born in El-Oued, Algeria in 1984. He received the B.Sc degree in Electrical Engineering from El Oued University, Algeria in 2007. His MSc degree from El Oued University in 2010. In 2014, he received his PhD degree in Electrical Engineering from Biskra University, Algeria. His areas of interest are Electrical Drives and Process Control, renewable energy, application of Artificial Intelligence techniques. He is member of the LEVRES research Laboratory.

Nicu Bizon

Nicu Bizon (IEEE M’06; SM’16), was born in Albesti de Muscel, Arges county, Romania, 1961. He received the B.S. degree in electronic engineering from the University “Polytechnic” of Bucharest, Romania, in 1986, and the PhD degree in Automatic Systems and Control from the same university, in 1996. From 1996 to 1989, he was in hardware design with the Dacia Renault SA, Romania. He is currently professor with the University of Pitesti, Romania. He received two awards from Romanian Academy, in 2013 and 2016. He is editor of ten books and more than 500 papers in scientific fields related to Energy. His current research interests include power electronic converters, fuel cell and electric vehicles, renewable energy, energy storage system, microgrids, and control and optimization of these systems.

Ilhami Colak

Ilhami Colak was born in 1962 in Turkey. He received his diploma in Electrical Engineering from Gazi University, Turkey in 1985. Then he did his MSc in Electrical Engineering in the field of Speed Control of Wound Rotor Induction Machines Using Semiconductor Devices at Gazi University in 1991. After that he did his MPhil at Birmingham University in England by preparing a thesis on High Frequency Resonant DC Link Inverters in 1991. Finally, he did his PhD at Aston University in England on Mixed Frequency Testing of Induction Machines Using Inverters in 1994. He became an assistant professor, an associate professor and a full professor in 1995, 1999 and 2005 respectively. He has published more than 108 journal papers, 239 conference papers, and 7 books in different subjects including electrical machines, drive systems, machine learning, reactive power compensation, inverter, converter, artificial neural networks, distance learning automation and alternating energy sources.