Comparative Analysis of Control Strategies for Position Regulation in DC Servo Motors

TL;DR

This paper compares various control strategies for DC servo motor position regulation, finding that state-feedback with integral action (SFCIA) offers superior stability, precision, and dynamic performance based on MATLAB simulations.

Contribution

The study introduces a comprehensive comparison of control strategies for DC servo motors, highlighting the effectiveness of SFCIA over traditional controllers.

Findings

SFCIA achieves zero steady-state error.

SFCIA has the shortest settling time.

SFCIA outperforms other controllers in overshoot and dynamic response.

Abstract

A servomotor is a closed-loop system designed for precise movement control, utilizing position feedback to achieve accurate final positions. Due to the ability to deliver higher power output and operate at enhanced speeds, DC servo motors are considered ideal for applications requiring precision and performance. This research aims to design, simulate, and compare various control strategies for precise position control in DC servo motors (DSM). The controllers evaluated in this study include proportional (P), proportional-integral (PI), proportional-integral-derivative (PID), state-feedback controllers (SFC), and state-feedback controllers augmented with integral action (SFCIA). The performance of these controllers was evaluated using MATLAB simulations, characterized by overshoot, settling time, steady-state error, rise time, and peak time. The results indicate that the state-feedback controller with integral action (SFCIA) surpasses other control strategies by achieving zero steady-state error, minimal overshoot, the shortest settling time, and optimized rise and peak times. These findings highlight the effectiveness of SFCIA for tasks requiring high levels of stability, precision, and dynamic performance.