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Research Article

Enhanced Induction Motor Control Using Deep Reinforcement Learning and PWM with DTC

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Received 07 Mar 2023, Accepted 08 Oct 2023, Published online: 19 Nov 2023
 

Abstract

This article presents an enhanced approach for controlling an induction motor, combining Deep Reinforcement Learning (DRL), Pulse Width Modulation (PWM), and a Speed Controller. Flux, torque, and ripples in the stator current are problems with the traditional Direct Torque Control (DTC). A 12-sector DTC technique is suggested to overcome these problems and get rid of torque ripple. In order to reduce the ripples in the stator current vectors brought on by white noise, an enhanced Q-learning-based Kalman filter (IQL-KF) is also employed. The rotation speed and flux control are achieved using fuzzy VIKOR. Simulation data with various load conditions, processing, and noise power covariances are utilized to estimate the effectiveness of the suggested technique. Comparison with the typical DTC approach demonstrates that the suggested method outperforms in transient situations, as assessed by the integrated time absolute error performance index, undershoot, and ripple of crucial parameters.

AUTHORS CONTRIBUTIONS

All authors are contributed equally to this work.

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the authors.

Additional information

Funding

No funding is involved in this work.

Notes on contributors

Parijat Saurabh

Parijat Saurabh currently working as Assistant Professor of Economics in Department of Economics, Mahatma Gandhi Kashi Vidyapith, Varanasi, Uttar Pradesh. He has completed UG and PG from Banaras Hindu University, Varanasi. He has also qualified for UGC NET. He has been awarded Doctoral Fellowship from ICSSR, New Delhi and JRF/SRF from Center for the Study of Nepal, Banaras Hindu University sponsored by U.G.C. New Delhi. He is associate Editor of Online Research Journal. He has published eighteen research papers in reputed Journals. He has participated and presented twenty five research papers in National and International levels. He acted as resource person in Nine Faculty Development Programs organized at National and International Levels. He is discharging duties of National and International Collaborations as Nodal Officer. He is a member of different academic and administrative committees at department and University level. He has authored three Books and published 5 Intellectual Property Rights (India Specific). His areas of specialization are Agricultural Economics, Quantitative Methods and Econometrics.

N. Nagabhooshanam

N. Nagabhooshanam received his doctoral degree from Anna University under area interfacial heat transfer in die casting process and further received his Master Degree from Anna University, Chennai also received his Bachelor Degree under Faculty of Mechanical Engineering from Anna University, Chennai. He is currently working has an Associate Professor, Department of Mechanical Engineering, Aditya Engineering College, Aditya Nagar, ABD Road, Surampalem, East Godavari District, Andhra Pradesh, India. And also working as adjunct faculty in Department of Mechanical Engineering, Institute of Engineering and Technology, GLA University Mathura and Department of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai. He also worked as a Graduate Engineer Trainee in “Dynamatic Technologies Ltd” since June 2011 to June 2013, as an Assistant Professor in S.A. Engineering College Since June 2015 to 2017, Assistant Professor in St Peter’s College of Engineering and Technology from June 2017 to May 2022, Associate Professor in Aditya Engineering College from July 2022 to Till Date. He has published 10+ Books, 19+ Patents, and 27+ Journals. He has presented 4 National/International Conferences. He has attended 5 Workshops and 2 FDPs. He is specialized in Mechanical Engineering, Fluid Mechanics and Manufacturing Process & Material Sciences. He has research interest in Heat Transfer Enhancement, Microstructure Study of Al-Mg Based Alloys, Minimization of Casting Defects in Al, Fe Based Materials, Die Improvement, Flow Analysis Techniques and Optimization Techniques.

D. Sendil Kumar

D. Sendil Kumar graduated M.Tech in Energy Technology from Pondicherry Engineering College, Puducherry. His Ph.D in Mechanical Engineering was awarded in 2015 from Pondicherry University in the field of Refrigeration. He has 16 years of teaching experience in the field of Mechanical Engineering at different levels. He had published 12 research papers in the field of Refrigeration and Electroless Coating Technology. He had also completed a research project for 1.25 lakhs funded by Department of Science and Technology, Government of Puducherry. Presently he holds the administrative position as Director at Senthil College of Education, Puducherry.

A. Chandra Shekhar Akula

A. Chandra Shekhar Akula received his PhD in Mechanical Engineering from JNTU Hyderabad, MBA in operations management from Sikkim Manipal University, M.Tech in Industrial Engineering & Management and B.Tech Mechanical Engineering from JNTU Hyderabad. He is Associate professor in the Department of Mechanical Engineering, IcfaiTech (Faculty of Science & Technology), Icfai Foundation for Higher Education, Hyderabad, Telangana, India. He is a reviewer in reputed peer – review journals and has 8 patents granted, filled at national and international levels, 36 scientific research papers published in prestigious international journals, 46 international conferences organized by reputed institutions covering such diverse topics as Robotics, Mechatronics, Artificial intelligence, Machine learning, design, optimization, Materials, manufacturing. He was a faculty coordinator for SAE Baja, Supra and Effi-cycle. Dr. Chandrashekhar A is a collaborative researcher and he is a member in Robotics Society of India, IIIE, International Association of Engineers, Hong Kong, The combustion institute -Indian section (CI-IS), SAEINDIA, and Institute for Engineering Research and Publication (IFERP). His other research areas include Internet of Things (IoT), Machine Learning, Data Mining, Artificial Intelligence. Big Data, Healthcare Systems, Automation Systems.

Gaurav Vishnu Londhe

Gaurav Vishnu Londhe had completed the Bachelor of Engineering in Information Technology in 2007 and Master of Engineering in Computer Engineering from University of Mumbai, India in 2013 and Doctorate in 2020, with research domain of Wireless Sensor Networks. Working on Cloud using IoT based devices and analysis of data received through it. Cloud architecture design is the research area for upcoming development. He has around 20 years of technical teaching, administration and industry experience. He has around 10 plus research publications in versatile area of IT and Computer Science and Engineering. Currently associated with Alliance University at Bangalore, as Professor in department of Computer Science and Engineering.

Veeranki Srinivasa Rao

Veeranki Srinivasa Rao received his B.Tech degree in Electrical and Electronics engineering from Kakatiya University, Telangana, India in 2000. M.Tech in Power Systems-High Voltage Engineering (PSHVE) from University College of Engineering, JNTUK, Kakinada, Andhra Pradesh, India in 2002. He received his Ph.D in power systems from JNTUK, Kakinada, India in 2016. Currently he is working as a Professor and HOD in the department of Electrical and Electronics Engineering, Aditya Engineering College (A), Surampalem, A.P. India. He is a life member of the Indian Society for Technical Education (ISTE), a member of the Institute of Electrical/Electronic Engineering (IEEE). He has 25 publications in National and International journals to his credit. His areas of interest include power systems, control systems and energy systems.

Vemana U. P. Lavanya

Vemana U. P. Lavanya received her B.Tech in Electrical and Electronics Engineering from Aditya Engineering College, Surampalem, Andhra Pradesh, India in 2010. M.Tech in Power Electronics (PE) from Aditya college of Engineering and Technology, Andhra Pradesh in India in 2014 Registered for Ph.D in 2023 in Andhra University, Visakhapatnam, Andhra Pradesh, India. Currently working as Sr Assistant Professor in the department of Electrical and Electronics Engineering, Aditya College of Engineering and Technology (A), Surampalem, Andhra Pradesh, India. She is an Associate member of the Institute of Engineers (AMIE). She has 2 international conferences and 2 international Publications. Her areas of interest include Power Electronics, Control systems.

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