Performance Analysis and Enhancement of Energy Efficiency, Dynamic Response in VSI-Fed Induction Motor Drives using Loss Minimization Algorithm

The development and implementation of a loss minimization algorithm for Voltage Source Inverter (VSI)-fed induction motor drives with vector control, aimed at optimizing energy efficiency, and reducing operational losses particularly under light-load conditions is carried out. The proposed method leverages advanced control techniques to optimize the d-axis current, thereby minimizing both Losses (copper and iron) in the motor system. The algorithm dynamically adjusts rotor flux and current components to achieve minimal energy dissipation, thereby enhancing overall drive efficiency. The algorithm is implemented in a MATLAB/Simulink environment to assess its performance, through simulations of a 1 HP, three-phase induction motor. Results demonstrate significant improvements in efficiency, with reductions in total losses, especially under low-load conditions. The loss minimization technique optimizes the balance between copper and iron losses, leading to enhanced dynamic performance, reduced torque ripple, and better tracking of reference speed and torque. The proposed method provides a promising solution for reducing energy consumption and improving the overall performance of induction motor drives, with potential applications in systems requiring variable speed control and high efficiency.

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Publication Details

Journal
Advances in Nonlinear Variational Inequalities
Published
2024-11-28
DOI
https://doi.org/10.52783/anvi.v28.2489
Primary Topic
Multilevel Inverters and Converters
Type
article
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article

Performance Analysis and Enhancement of Energy Efficiency, Dynamic Response in VSI-Fed Induction Motor Drives using Loss Minimization Algorithm

Albert John Varghese
Advances in Nonlinear Variational Inequalities
Multilevel Inverters and Converters
article

Performance Analysis and Enhancement of Energy Efficiency, Dynamic Response in VSI-Fed Induction Motor Drives using Loss Minimization Algorithm

Albert John Varghese
article en

Abstract

The development and implementation of a loss minimization algorithm for Voltage Source Inverter (VSI)-fed induction motor drives with vector control, aimed at optimizing energy efficiency, and reducing operational losses particularly under light-load conditions is carried out. The proposed method leverages advanced control techniques to optimize the d-axis current, thereby minimizing both Losses (copper and iron) in the motor system. The algorithm dynamically adjusts rotor flux and current components to achieve minimal energy dissipation, thereby enhancing overall drive efficiency. The algorithm is implemented in a MATLAB/Simulink environment to assess its performance, through simulations of a 1 HP, three-phase induction motor. Results demonstrate significant improvements in efficiency, with reductions in total losses, especially under low-load conditions. The loss minimization technique optimizes the balance between copper and iron losses, leading to enhanced dynamic performance, reduced torque ripple, and better tracking of reference speed and torque. The proposed method provides a promising solution for reducing energy consumption and improving the overall performance of induction motor drives, with potential applications in systems requiring variable speed control and high efficiency.

Advances in Nonlinear Variational InequalitiesVol. 28(2s)
Openalex Percentile: Top 76%
Multilevel Inverters and Converters
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