Analysis and Controlling of Uncertainty in BLDC Motor Using Optimal Hybrid Algorithm in State Space

Abstract

In this article, we present a novel approach for enhancing the performance of Brushless DC Motors (BLDC) by utilizing a Hybrid Controller that combines Proportional – Integral – Derivative (PID) and Artificial Neural Network (ANN) elements. We employ this innovative controller to assess the motor’s behavior under steady-state conditions and internal faults within a state space model. To evaluate the controller’s effectiveness, we compare it with traditional controllers in scenarios involving rapid load changes, and variations in speed, as well as open circuit faults and short circuit faults, which are known to induce disruptive states in the motor. Our study involves a comprehensive examination of the proposed controller’s steady-state stability using state-space representation and the Lyapunov Technique. We construct a prototype model to capture the Steady State and dynamic characteristic variables of a 300 W BLDC motor system. The suggested Hybrid PID-ANN Controller clearly outperforms the traditional PID controller, providing greater control capabilities for BLDC motor applications depending on the results from both simulations and data from experiments.

Keywords:

• BLDC motor
• state space
• open circuit faults (OCF)
• short circuit faults (SCF)
• Hybrid PID-ANN
• stability analysis
• DSP processors

ACKNOWLEDGMENT

There is no acknowledgment involved in this work.

ETHICS APPROVAL AND CONSENT TO PARTICIPATE

No participation of humans takes place in this implementation process

HUMAN AND ANIMAL RIGHTS

No violation of Human and Animal Rights is involved.

FUNDING

No funding is involved in this work.

AUTHORS’ CONTRIBUTION

All authors are contributed equally to this work

DATA AVAILABILITY STATEMENT

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

DISCLOSURE STATEMENT

Conflict of Interest is not applicable in this work.

Additional information

Notes on contributors

L. Nagarajan

L. Nagarajan received a Bachelor of Engineering in Electrical and Electronics Engineering from Madha Engineering College, Chennai in 2006. He received a Master of Engineering in Power Electronics and Drives from Annai Mathammal Sheela Engineering College, Namakkal in 2009. He received a Doctor of Philosophy in the Faculty of Electrical Engineering from Anna University in 2022. He is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Kathir College of Engineering, Coimbatore, India. He has published 23 articles in peer-reviewed International journals and presented 9 papers in International conferences. He received one grant from state government and filled 3 patents. His area of interest includes Power Electronics, Power Quality, Renewable Energy, Smart Grid and Distributed System. He can be contacted at email: [email protected]

Bhoopathi Mariappan

Bhoopathi Mariappan received the Engineering degree in Electrical and Electronics Engineering from Kumaraguru College of Technology, Bharathiyar University in 2001. He received the Master degree in Power Systems Engineering from Annamalai University, Chidambaram, Tamilnadu, India in 2004. He received his Ph.D Degree in Electrical Engineering, at Anna University Chennai in 2022. He is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Chennai Institute of Technology and Applied Research, Chennai, India. He has published 5 articles in peer reviewed international journals and presented 3 papers in international conferences. His area of interests includes Power Systems, Power Electronics, Special Electrical Machines.

P. A. Gowrisankar

P. A. Gowrisankar is currently working as an Associate Professor in Electrical & Electronics Engineering Department of Knowledge Institute of Technology, Salem, Tamilnadu, India. He has done B.E. with Honours in Electrical Engineering from Anna University, Chennai in 2008 and M.E. & Ph.D. from College of Engineering Guindy, Anna University Chennai, India in 2010 & 2015. He has published 15+ research articles at national and international level and 05+ International Conferences. Currently he is supervising 04 PhD Scholar under Anna University Chennai. He has also been involved in consultancy projects with the industry top companies and research projects. With over 11 years of work experience, his strengths include a positive attitude, teamwork, commitment, and confidence. His main research directions include Intelligent controller for Power Electronics and Power System Application, Machine learning, Artificial Intelligence, Deep learning, Image Processing, Nanoelectronics, Nano sensor & materials.

J. Karthikeyan

J. Karthikeyan received the Engineer degree in Electrical and Electronics Engineering from Jayaram College of Engineering in 2011. He received the Master degree in Power Electronics and Drives from Shivani College of Engineering and Technology, Trichy, Tamilnadu, India in 2014. He is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Kongunadu College of Engineering and Technology, Trichy, India. He has published 6 articles in peer reviewed International journals and presented 10 papers in International conferences. His area of interests includes Power Electronics, Electrical Machines, Power Systems and Internet of Things.