Year: 2025
Type: conference-paper
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.
Authors: Vikas Dev Pandey, V.K. Giri
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4412188160