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Abstract
This study investigates the influence of load conditions on grid voltage stability and the performance of a proposed compensator, encompassing a 1.5 hp 4-pole induction motor (IM) exposed to grid voltage disturbances. Through rigorous grid current analysis, our research demonstrates the effective mitigation of total harmonic distortion (THD) without necessitating passive filters. The comprehensive study covers multiple facets, including control strategy optimization, fine-tuning of control parameters, component ratings, output voltage analysis, operating principles, pulse width modulation, and the integral role of the fuzzy logic controller. Specifically, it underscores the significant impact of a Predictive Torque Control-based Diode Clamped Inverter in enhancing the dynamic and steady-state performance of the IM. The research delves into traditional PTC control methods and advanced techniques, such as fuzzy and evolutionary control, addressing the persistent challenge of reducing torque ripple under varying load conditions. By implementing model prediction control-based DCI, our method achieves rapid torque response without compromising the motor’s stator characteristics. Utilizing MATLAB’s environmental package, we thoroughly evaluate motor performance across diverse scenarios, encompassing stable, and rapid load changes. Despite inherent winding impedance challenges, our proposed approach consistently delivers satisfactory output responses, contributing to a more efficient, and resilient IM performance under diverse operating conditions.
ACKNOWLEDGEMENTS
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.
DISCLOSURE STATEMENT
Conflict of interest is not applicable in this work.
AUTHORSHIP CONTRIBUTIONS
All authors are contributed equally to this work
FUNDING
No funding is involved in this work.
DATA AVAILABILITY STATEMENT
Data sharing not applicable to this article as no datasets were generated or analyzed during this study.
Additional information
Notes on contributors
Neelagandan V. J.
Neelagandan V. J. received his JNTU Anantapur, degree in Electrical Engineering from the Institution of Engineers (INDIA), M.E. degree in Power Electronics and Industrial Drives from B S Abdur Rahman Institute of Science and Technology Chennai 2012, and Research Scholar in the Faculty of Electrical Engineering from Sathyabama Institute of Science and Technology, in the year 2018. I am currently working as Analog Layout Engineer in Struent Semi-Conductor Pvt Ltd Chennai.
Vedamoorty Sivachidambaranathan
Vedamoorty Sivachidambaranathan received his AMIE degree in Electrical Engineering from the Institution of Engineers (INDIA), Section A and Section B in 1997 and 2002, M.E. degree in Power Electronics and Industrial Drives from Sathyabama Institute of Science and Technology in 2005, and obtained his Ph.D. degree in the Head Faculty of Electrical Engineering from Sathyabama University, in the year 2013. He is currently working as Professor and Head, of the Department of Electrical and Electronics Engineering, Head – Internal Exam Cell, at Sathyabama Institute of Science and Technology, Chennai. His research interest includes Power Converter, Drives and Control, and Renewable Energy Sources.