Parameters Identification of Induction Motor Using Bacterial Foraging Algorithm
Abubakar Bala, Adeleke Hafiz Adesupo, Ohemu Monday Fredrick, Ibrahim Baba Kyari, Umaru Ibrahim Zubairu, Bashir Muhammad
Citation
Abubakar Bala, Adeleke Hafiz Adesupo, Ohemu Monday Fredrick, Ibrahim Baba Kyari, Umaru Ibrahim Zubairu, Bashir Muhammad, “Parameters Identification of Induction Motor Using Bacterial Foraging Algorithm”, International Journal of Engineering and Applied Computer Science, vol. 04, no. 06, pp. 01-11, July, 2022.
Abstract
This work proposed a multi-attribute optimization technique for identification the equivalent circuit parameters of a three-phase induction motor from the name plate data. A fitness function was obtained and compared with the computed steady-state performance of the exact equivalent circuit at prospective parameters set with rated manufacturer data. A biologically inspired algorithm called Bacterial Foraging Algorithm (BFA) was used in the optimization. The feasibility of the BFA optimization technique was tested and examined on a motor of rating 5 horse-power (hp). The performance of the BFA optimization scheme was tested by simulation and real-time experiments under challenging load variations. Simulation results demonstrate the ability the BFA to produce better results with less error values and good convergence characteristics.
h-index
6
i10-index
4
Impact Factor
2.35
ABUBAKAR BALA
Mr. Abubakar Bala is a Lecturer at the Nigerian Army University, Biu, Borno, Nigeria. He received his B.Eng. degree in Electrical/Electronics Engineering (2009) and M.Eng. degree in Electronics Engineering (2016) from the Department of Electrical and Electronics Engineering, Abubakar Tafawa Balewa University, Bauchi, Nigeria. Formally, he worked as a Lecturer with the Department of Electrical and Electronics Engineering, Air Force Institute of Technology, Kaduna, Nigeria. His research interest includes: Optimization, Control and Wireless Communication Systems and their applications.
ADELEKE HAFIZ ADESUPO
Engr. Hafiz Adeleke Adesupo is a Lecturer at Air Force Institute of Technology, Kaduna, Nigeria. He received his B.Tech. degree in Electrical/Electronics Engineering (2011) and M.Tech. degree in Power Systems and Machine Engineering (2021) from the Department of Electrical and Electronics Engineering, Ladoke Akintola University, Oshogbo, Nigeria. His research interest includes: Power Systems Transmission and Distribution, Electrical Drives and Control.
OHEMU MONDAY FREDRICK
Engr. Ohemu Monday Fredrick is a Lecturer with the Department of Electrical and Electronics Engineering, Air Force Institute of Technology, Kaduna, Nigeria. He received Higher National Diploma from Federal Polytechnic, Bauchi in 2007. He has Postgraduate Diploma and Master’s degree in Control Engineering in 2009 and 2021 from the Department of Electrical and Computer, Ahmadu Bello University, Zaria, Nigeria. He has a Master degree in Information Technology from National Open University of Nigeria. Currently pursuing Ph.D. in Artificial Intelligent. His research interest includes: Control System, Embedded System, IoT, and Artificial Intelligence.
IBRAHIM BABA KYARI
Engr. Ibrahim Baba Kyari has received B.Eng. degree in Electrical/Electronics Engineering (2011) from the Department of Electrical and Electronics Engineering, University of Maiduguri, Borno, Nigeria.
UMARU IBRAHIM ZUBAIRU
Engr. Umaru Ibrahim Zubairu is a Lecturer at Air Force Institute of Technology, Kaduna, Nigeria. He received his B.Eng. degree in Electrical/Electronics Engineering from the Department of Electrical and Electronics Engineering, University of Maiduguri, Borno, Nigeria (1990) and Master’s degree in Electronics and Communication from the Nigerian Defence Academy, Kaduna (2016).
BASHIR MUHAMMAD
Mr. Bashir Muhammad is a Lecturer at Air Force Institute of Technology, Kaduna, Nigeria. He received B.Eng. degree in Electrical/Electronics Engineering from Abubakar Tafawa Balewa University, Bauchi, Nigeria (2016) and now pursuing M.Eng. degree from Nigerian Defence Academy, Kaduna.
International Journal of Engineering and Applied Computer Science
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