Comparative Analysis of Different Speed Control Methods for DC Drives

A comparison and analysis of various DC motor speed control techniques are presented in this study. In this research, the efficiency of proportional-integral-derivative (PID) controllers and fuzzy logic controllers (FLC) for regulating DC motor speed is contrasted. To evaluate the efficacy of each control approach, important performance indicators such overshoot, steady-state error, and settling time are examined through testing and simulation. The findings offer insightful information on how well PID and FLC work in a range of industrial settings. A steady-state inaccuracy of 48.8% is found when the study first assesses the performance of a DC motor without a controller, indicating the necessity for control techniques. When a PID controller is used, the necessary 1.9-second settling time is reached with zero peak overshoot and steady-state inaccuracy. These are outstanding results. Still, the research's usage of a fuzzy logic controller takes an interesting step, showing even more promising results. The fuzzy controller achieves a 0% steady-state inaccuracy, a 0% peak overshoot, and an amazing 1.16 seconds of settling time. The maximum steady-state inaccuracy of 1%, maximum peak overshoot of 5%, and maximum settling time of 2% are in contrast to the ideal parameters for a DC motor.

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Publication Details

Published
2025-05-15
DOI
https://doi.org/10.64289/rericproc.25.0105.4618368
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

Comparative Analysis of Different Speed Control Methods for DC Drives

V.K. Giri, Vikas Kumar Pandey
Sensorless Control of Electric Motors
article

Comparative Analysis of Different Speed Control Methods for DC Drives

V.K. Giri, Vikas Kumar Pandey
article en

Abstract

A comparison and analysis of various DC motor speed control techniques are presented in this study. In this research, the efficiency of proportional-integral-derivative (PID) controllers and fuzzy logic controllers (FLC) for regulating DC motor speed is contrasted. To evaluate the efficacy of each control approach, important performance indicators such overshoot, steady-state error, and settling time are examined through testing and simulation. The findings offer insightful information on how well PID and FLC work in a range of industrial settings. A steady-state inaccuracy of 48.8% is found when the study first assesses the performance of a DC motor without a controller, indicating the necessity for control techniques. When a PID controller is used, the necessary 1.9-second settling time is reached with zero peak overshoot and steady-state inaccuracy. These are outstanding results. Still, the research's usage of a fuzzy logic controller takes an interesting step, showing even more promising results. The fuzzy controller achieves a 0% steady-state inaccuracy, a 0% peak overshoot, and an amazing 1.16 seconds of settling time. The maximum steady-state inaccuracy of 1%, maximum peak overshoot of 5%, and maximum settling time of 2% are in contrast to the ideal parameters for a DC motor.

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Sensorless Control of Electric Motors
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