An Intelligent Optimized Control System for Induction Heating Application

Abstract

In the modern era, induction heating (IH) technology is utilized for industrial functions like medical applications and domestic applications. Furthermore, efficient uses such as control topologies, magnetic component design, and power electronics have high demand as well as cost-effective with respect to advanced technology. However, IH technology directly targets the power converter and coil so it has wasted higher amount of heat. Also, high power dissipation in an IH system leads to high energy costs and reduced system performance. Hence, various approaches are developed to minimize power dissipation. However, they cannot reduce power dissipation in the induction coil. Thus, a novel Decision-based Squirrel Control System was developed in this article to decrease the power wastage in induction coil optimally. The developed model’s squirrel fitness function monitors power wastage and compensates them by tuning it. The developed model is executed in MATLAB/Simulink, and the results are determined. In terms of rising time, settling time, overshoot, and error rate. Here, the proposed work can achieve 0.075s resting time, 1.02s settling time, 0.05s overshoot, and 0.29% of error rate. The comparative assessment proves that the presented approach attained better results than others.

Keywords:

• induction heating system
• squirrel optimization algorithm
• power dissipation
• resonant inverter

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Arijit Chakrabarti

Arijit Chakrabarti received his M.Tech. degree in Radio Physics and Electronics from the Institute of Radio Physics and Electronics, University of Calcutta, Kolkata, India. He is a software professional at present playing the role of the Digital Transformation Architect in his current organization focusing on Cloud transformation, Artificial Intelligence, Machine Learning, Deep Learning, IoT and Blockchain. In addition, he is a Ph.D. research scholar in the Department of Electrical Engineering at Indian Institute of Technology (ISM), Dhanbad, India. His current research interest includes power electronics, adaptive control, artificial intelligence, machine learning, deep learning, cloud computing and IoT.

Pradip Kumar Sadhu

Pradip Kumar Sadhu received BE, ME, and PhD (Engineering) degrees in Electrical Engineering from Jadavpur University, West Bengal, India. He is presently working as a Professor (HAG) in the Department of Electrical Engineering of Indian Institute of Technology (ISM), Dhanbad, India. He has a total of 34 years of experience including 22 years of teaching and research plus 12 years in the industry. He has 12 granted patents and 20 applied patents that are under processing. He has 174 journal and 117 conference publications at national and international levels. He has authored 5 books and 14 book chapters. He is the principal investigator of a few government funded projects. His current research areas of interest are power electronics applications, application of high-frequency converter, energy efficient devices, floating solar photovoltaic (FSPV) and building integrated photovoltaic (BIPV) systems.

Palash Pal

Palash Pal received his Bachelor Degree in Electrical Engineering from West Bengal University of Technology, West Bengal, India in 2006 and Post-Graduate Degree (Gold Medallist) in 2009 from the same University. He has completed his Ph.D. Degree in 2016 from Indian Institute of Technology (ISM), Dhanbad, Jharkhand, India. He previously worked as the Principal in Dumka Engineering College (Estd. by Govt. of Jharkhand & Run by Techno India Under PPP), Dumka, Jharkhand, India. Now, he is working as a Professor in Electrical Engineering Department at Haldia Institute of Technology, Haldia, West Bengal. He has total 15 years of experience in teaching. He has two Patents. He has several journal and conference publications in national and international level. His research areas are power electronics, induction heating, high frequency converters, high frequency heating, control systems and power systems.

Shiv Prakash Bihari

Shiv Prakash Bihari received the B.E. degree in electrical engineering from Nagpur University Nagpur India, M.E. (Electrical Industrial Systems and Drives) degree from Madhav Institute of Technology and Science, Gwalior, India, and the Ph.D. degree from Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India. He is also working as an Associate Professor with the Department of Electrical and Electronics Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, India. He has more than Eighteen years of teaching experience. He is the author/co-author of books research papers in indexed international journals. His research interest includes power electronics, solar PV system, Renewable Energy, Power Electronics, Battery Charger and Intelligent Control, power system planning and smart grid technologies, reliability analysis of renewable energy systems, power quality analysis and renewable energy integration.