Optimally tuned PI controller for V/f control of induction motor using Matlab/Simulink

Induction motors are widely used in the industry due to their high accountability and low price. This study presents the use of Matlab/Simulink for controlling the induction motors with PI controller. The choice of controller parameters is especially important stage from the designing of control systems from which their efficiency depends. The practice shows that additional controller tuning is needed when classical methods are used. In the paper is applied a optimization method for determining the controller parameters. In Matlab/Simulink, based on objective functions for minimum settling time and minimum overshoot is determined the controller parameters using a genetic algorithm. The simulation results show an accurate and fast response with relatively no oversoot and no steady state error.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-07-27
DOI
https://doi.org/10.1051/e3sconf/202672703006/pdf
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimally tuned PI controller for V/f control of induction motor using Matlab/Simulink

Vyara Ruseva, Anka Krasteva, Donka Ivanova
Springer Link (Chiba Institute of Technology)
Sensorless Control of Electric Motors
article

Optimally tuned PI controller for V/f control of induction motor using Matlab/Simulink

Vyara Ruseva, Anka Krasteva, Donka Ivanova
article en

Abstract

Induction motors are widely used in the industry due to their high accountability and low price. This study presents the use of Matlab/Simulink for controlling the induction motors with PI controller. The choice of controller parameters is especially important stage from the designing of control systems from which their efficiency depends. The practice shows that additional controller tuning is needed when classical methods are used. In the paper is applied a optimization method for determining the controller parameters. In Matlab/Simulink, based on objective functions for minimum settling time and minimum overshoot is determined the controller parameters using a genetic algorithm. The simulation results show an accurate and fast response with relatively no oversoot and no steady state error.

Springer Link (Chiba Institute of Technology)
Industry, innovation and infrastructure
Openalex Percentile: Top 15%
Sensorless Control of Electric Motors
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