30° Discontinuous PWM-Based Closed Loop Volts/Hz Control of Induction Motor Drive with Slip Regulation

Abstract

This paper proposes 30° discontinuous PWM-based closed loop volts/Hz control of induction motor drive with slip regulation. The voltage source inverter is carried out with various pulse width modulation (PWM) schemes such as continuous PWM (CPWM) and discontinuous PWM (DPWM) schemes. The inverter's performance is affected by these PWM schemes. Therefore, this paper investigates the PWM schemes for the inverter. It aims to identify a best PWM scheme based on the total harmonic distortion and torque ripple analysis for constant volts/Hz induction motor drive amongst the various PWM schemes in open loop and closed loop and also proposes a 30° DPWM-based closed-loop control. The performance investigations of various PWM schemes based on inverter-fed induction motor have been evaluated analytically and using MATLAB/Simulink environment. Experimental results have been validated. The combination of 30° DPWM with PI control and slip regulation for induction motor makes the speed control system robust and ideal for low-accuracy applications.

KEYWORDS:

• Continuous PWM
• Current ripple
• Discontinuous PWM
• Torque ripple
• Variable frequency drives
• Voltage source inverter

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

ERRATA:

*The research article, titled “Natural Exponent Inertia Weight based Particle Swarm Optimization for Mining Serial Episode Rules from Event Sequences” and authored by K Poongodi and Dhananjay Kumar, was erroneously categorized as “Control Engineering” rather than “Computers and Computing” when it was published in the August 2023 issue of IETE Journal of Research, volume 69, number 8. We regret the error.

*The current affiliation of the co-author, Chinara Suchismitha, as indicated in the affiliation section of the IETE Journal of Research (Volume 69, No. 6 June 2023), “Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signals” by B. Venkata Phanikrishna, Allam Jaya Prakash, and Chinara Suchismitha,” is the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha 769 008. This address is accurately displayed in the online version. Nevertheless, the address that appeared in the printed version was as follows: School of Computer Science and Engineering (SCOPE), VIT Vellore University, Tamil Nadu 632 014. We regret the error that occurred.

Additional information

Notes on contributors

A. Sivaprakasam

Sivaprakasam Arumugam received his BE from Madurai Kamaraj University, India, in 2001, and his ME from the PSG College of Technology, Coimbatore, India, in 2003. He received his PhD from Anna University, Chennai, India, in 2014. He is currently assistant professor in the Department of Electrical and Electronics Engineering, CEG Campus, Anna University, Chennai. His current research interests include the analysis of electrical machines, power electronics and sensorless and high performance control of special electrical machines.

E. Nandhini

E Nandhini received BE from Periyar Maniammai College of Technology for Women, Tanjore, India, in 2011, and ME from the S K P College of Engineering, Thiruvanamalai, India, in 2013. She is currently pursuing PhD in Anna University, Chennai, India. Her current research interests include motor drives, pulse width modulation and power electronics converters. Email: [email protected]