Modelling and Comparative Analysis of Optimally Tuned PID Controllers in DC Motor Systems

Abstract

In this study, a modelling and comparative analysis of an optimally tuned PID (Proportional Integral Derivative) controller for DC motor control is conducted. The research aims to find the ideal set of PID parameters that yield optimal performance in terms of speed control and response characteristics for a DC motor. The study likely explores various methods for the tuning of PID controller, such as Ziegler Nichols, Auto-tuning, and Particle SwarmOptimization, and evaluates their effectiveness in achieving the desired control objectives. The comparative analysis of these methods allows for a comprehensive assessment of their advantages and disadvantages, ultimately providing valuable insights for engineering students and professionals seeking to enhance their understanding and application of PID-based control systems in industrial processes.