Transactions on Machine Intelligence

Transactions on Machine Intelligence

Position Control of Permanent Magnet DC Motor Using IMC-Based PID Controller

Document Type : Original Article

Author
Department of Electrical and Computer Engineering, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran
Abstract
The position control of permanent magnet DC motors (PMDCMs) has gained significant attention in recent years, particularly with the advent of advanced control strategies such as Internal Model Control (IMC) combined with Proportional-Integral-Derivative (PID) controllers. This literature review synthesizes various research findings that explore the effectiveness of IMC-based PID controllers for position control applications, while also identifying knowledge gaps and suggesting future research directions. Today, permanent magnet DC motors hold a significant position in theoretical and industrial applications due to their simplicity in implementation and control. PID controllers, renowned as one of the most popular controllers in the industry, continue to maintain their esteemed status. This paper aims to leverage the robust capabilities of the Internal Model Control (IMC) method to develop a PID controller to regulate the position of permanent magnet DC motors. In the proposed controller, the proportional (kP), derivative (kD), and integral (kI) gains are determined by IMC. Simulation results demonstrate that the proposed design outperforms traditionally tuned PID controllers and is capable of effectively controlling the motor position under various conditions.
Keywords

Volume 4, Issue 2
Spring 2021
Pages 90-99

  • Receive Date 25 April 2021
  • Revise Date 20 May 2021
  • Accept Date 16 June 2021