Low Ripple Predictive Torque Control of MLI-Fed Induction Motor for Marine Propulsion Systems

This paper presents an improved model predictive torque control (MPTC) approach with reduced torque and flux ripples capability for multilevel inverter-fed motor drives in marine propulsion systems. The control strategy takes the average trajectories of the control variables in the prediction process to enhance model accuracy and minimize computational errors. This reduces torque and flux prediction errors, leading to decreased torque and flux fluctuations. Additionally, a Heun-based model is also developed for flying capacitor voltages to mitigate voltage ripples. Simulation studies are conducted on a four-level inverter-fed motor drive to validate the effectiveness of the proposed MPTC and its performance is compared with the existing MPTC method.

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Publication Details

Published
2024-12-18
DOI
https://doi.org/10.1109/pedes61459.2024.10961538
Primary Topic
Advanced DC-DC Converters
Type
article
Field-Weighted Citation Impact
0.00

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article

Low Ripple Predictive Torque Control of MLI-Fed Induction Motor for Marine Propulsion Systems

Deepak Ronanki, Apparao Dekka, Hoang Le
Advanced DC-DC Converters
article

Low Ripple Predictive Torque Control of MLI-Fed Induction Motor for Marine Propulsion Systems

Deepak Ronanki, Apparao Dekka, Hoang Le
article en

Abstract

This paper presents an improved model predictive torque control (MPTC) approach with reduced torque and flux ripples capability for multilevel inverter-fed motor drives in marine propulsion systems. The control strategy takes the average trajectories of the control variables in the prediction process to enhance model accuracy and minimize computational errors. This reduces torque and flux prediction errors, leading to decreased torque and flux fluctuations. Additionally, a Heun-based model is also developed for flying capacitor voltages to mitigate voltage ripples. Simulation studies are conducted on a four-level inverter-fed motor drive to validate the effectiveness of the proposed MPTC and its performance is compared with the existing MPTC method.

Indian Institute of Technology Madras (IN), Lakehead University (CA)
Canada Foundation for Innovation
Life below water
Openalex Percentile: Top 73%
Advanced DC-DC Converters
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