Journal of Power, Energy, and Control

Vol. 2 No. 2 (2025)
Articles

Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems

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  • Yaw Amankrah Sam-Okyere,
  • Emmanuel Osei-Kwame,
  • Dienatu Issaka,
  • Isaac Papa Kwesi Arkorful
Yaw Amankrah Sam-Okyere
University of Mines and Technology, Ghana
Emmanuel Osei-Kwame
Norfolk State University, United States
Dienatu Issaka
Ashesi University, Ghana
Isaac Papa Kwesi Arkorful
Norfolk State University, United States

Published 23-09-2025

Keywords

  • Nonlinear Systems,
  • Fuzzy,
  • PID controller,
  • Ziegler-Nicholas

Copyright (c) 2025 Yaw Amankrah Sam-Okyere, Emmanuel Osei-Kwame, Dienatu Issaka, Isaac Papa Kwesi Arkorful (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Y. A. Sam-Okyere, E. . Osei-Kwame, D. Issaka, and I. P. K. . Arkorful, “Control Strategy Assessment: PID and Fuzzy-PID for Compound DC Motor Systems”, PEC, vol. 2, no. 2, pp. 119–131, Sep. 2025, doi: 10.62777/pec.v2i2.74.

Abstract

Compound DC motors, prized for their high torque and speed in industrial applications, demand robust control under nonlinear conditions. This study advances the field of Adaptive Neuro-Fuzzy Interface (ANFIS) by comparing a Ziegler-Nichols-tuned Proportional-Integral-Derivative (PID) controller with a novel ANFIS-PID controller for a compound DC motor. Unlike prior work, the research focuses on the unique dynamics of compound motors for real-time applications. Using MATLAB Simulink simulations. Performance was assessed via overshoot, rise time, settling time, and steady-state error under no-load and full-load conditions. The PID controller yielded 11.789% overshoot, 1.140s rise time, and 2.251s settling time, while the ANFIS-PID achieved 6.989% overshoot, 0.951s rise time, and 1.962s settling time, with a 50% lower steady-state error. These results, validated across 10 runs (p < 0.05), highlight the ANFIS-PID’s superior adaptability to the motor’s series-shunt dynamics, offering a 40.7% overshoot reduction.

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