A Comparative Analysis and Performance Evaluation of an Improved Novel Hybrid PI Based Fuzzy Logic Controller for Induction Motor Speed Regulation

A 45-year review of the literature on power electronics and electrical machines reveals a recurring pattern of circuit construction, loss, and reinvention. The concerns need to be addressed because they have resulted in substantial time and effort waste, continuous legal conflicts, the long-term loss of good ideas, and ongoing losses of time. With the aid of comparison analysis and performance evaluation utilizing a hybrid proportional plus integral (PI) based fuzzy logic controller (FLC), this research paper provides speed regulation of induction motor (IM) drives Multi converter designs are widely employed in highpower applications, according to an analysis of the power electronics and industrial controls literature published over the preceding three decades. The development of induction machine drive technology for future applications involves a number of difficulties, both present and emerging. Industrial best practices for induction motor torque management are emerging, including FLC, field-oriented control (FOC) and direct torque control (DTC). The speed regulation method is frequently required in the energy-saving control system in order to start and stop the equipment. These techniques are regulating speed for both electrical and mechanical. This research seeks to contribute to a comprehensive comparison and performance evaluation of increased speed regulation of induction motor utilizing PI based FLC in MATLAB/Simulink. MATLAB/Simulink software was utilized in the design of the suggested controller, which underwent testing under a range of operating situations, such as rapid changes in reference speed and load disturbance. The transient response to step adjustments in the torque and flux command, as well as torque and current ripple, are assessed for PI-based fuzzy logic speed control methods for induction motors. The suggested controller performed better than the traditional PI controller, according to the results.

Authors

Publication Details

Published
2025-05-15
DOI
https://doi.org/10.64289/rericproc.25.0105.3921071
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comparative Analysis and Performance Evaluation of an Improved Novel Hybrid PI Based Fuzzy Logic Controller for Induction Motor Speed Regulation

Ganesh Roy, Ranjay Das, Arpit Yadav, Jeet Dutta
Sensorless Control of Electric Motors
article

A Comparative Analysis and Performance Evaluation of an Improved Novel Hybrid PI Based Fuzzy Logic Controller for Induction Motor Speed Regulation

Ganesh Roy, Ranjay Das, Arpit Yadav, Jeet Dutta
article en

Abstract

A 45-year review of the literature on power electronics and electrical machines reveals a recurring pattern of circuit construction, loss, and reinvention. The concerns need to be addressed because they have resulted in substantial time and effort waste, continuous legal conflicts, the long-term loss of good ideas, and ongoing losses of time. With the aid of comparison analysis and performance evaluation utilizing a hybrid proportional plus integral (PI) based fuzzy logic controller (FLC), this research paper provides speed regulation of induction motor (IM) drives Multi converter designs are widely employed in highpower applications, according to an analysis of the power electronics and industrial controls literature published over the preceding three decades. The development of induction machine drive technology for future applications involves a number of difficulties, both present and emerging. Industrial best practices for induction motor torque management are emerging, including FLC, field-oriented control (FOC) and direct torque control (DTC). The speed regulation method is frequently required in the energy-saving control system in order to start and stop the equipment. These techniques are regulating speed for both electrical and mechanical. This research seeks to contribute to a comprehensive comparison and performance evaluation of increased speed regulation of induction motor utilizing PI based FLC in MATLAB/Simulink. MATLAB/Simulink software was utilized in the design of the suggested controller, which underwent testing under a range of operating situations, such as rapid changes in reference speed and load disturbance. The transient response to step adjustments in the torque and flux command, as well as torque and current ripple, are assessed for PI-based fuzzy logic speed control methods for induction motors. The suggested controller performed better than the traditional PI controller, according to the results.

Openalex Percentile: Top 85%
Sensorless Control of Electric Motors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Comparative Analysis and Performance Evaluation of an Improved Novel Hybrid PI Based Fuzzy Logic Controller for Induction Motor Speed Regulation — Ganesh Roy, Ranjay Das, et al. · (2025) | TGRS Research Map | TGRS