Simulation and Experimental Evaluation of DC Motor Control Strategies Using MATLAB and Arduino Mega

Abstract

The paper presents a comprehensive analysis of three advanced control strategies: Proportional-Integral-Derivative (PID) controllers, Fuzzy Logic Controllers (FLC), and Sliding Mode Controllers (SMC) to achieve accurate speed control of a DC motor. The proposed study is conducted both theoretically and practically, utilizing MATLAB and AVR microcontrollers for real-time experiments. A modified SMC control law is introduced to enhance system performance, reduce the inherent chattering effect, and maintain robustness against parameter variations. The performance of each control strategy is evaluated based on key specifications, including system stability, response time, and adaptability to external disturbances. The findings highlight the strengths and limitations of each control approach and provide valuable insights for selecting the most suitable controller for specific applications. Additionally, the paper explores the integration of artificial intelligence techniques to optimize controller performance in dynamic and uncertain environments, contributing to the advancement of intelligent control systems.