Comparative Performance Analysis of PID and Fuzzy-PID Speed Controllers for Brushless DC Motor Drives

Authors

  • Naima Rahoua Department of Electrical Engineering, University of Biskra, BP 145, Biskra 07000, Algeria
  • Hani Benguesmia Electrical Engineering Laboratory (LGE), University of M'sila, University Pole, Road Bourdj Bou Arreiridj, M'sila 28000, Algeria
  • Raihane Mechgoug Department of Electrical Engineering, University of Biskra, BP 145, Biskra 07000, Algeria
  • Nacira Tkouti Department of Electrical Engineering, University of Biskra, BP 145, Biskra 07000, Algeria
Volume: 15 | Issue: 5 | Pages: 27985-27992 | October 2025 | https://doi.org/10.48084/etasr.13532

Received: 20 July 2025 | Revised: 3 August 2025 and 17 August 2025 | Accepted: 20 August 2025 | Online: 3 September 2025


Corresponding author: Naima Rahoua

Abstract

Proportional-Integral-Derivative (PID) controllers are effectively and widely used in various industries due to their ease of use and versatility. The Brushless DC (BLDC) motor is a well-known motor that combines reliability and efficiency, but for optimal performance, speed control must be precise. Although useful and often treated as a 'black box', PID controllers require careful tuning to achieve optimal performance in applications. This study describes a comparative study of two PID controllers for BLDC motors. The first PID controller was tuned using the Ziegler-Nichols PID (ZN-PID) method, a classical empirical method that could yield poor performance in complex applications. The second PID controller utilizes a fuzzy inference system to dynamically adjust PID values (Fuzzy-PID). The performance of both controllers was evaluated in a MATLAB/Simulink model to demonstrate that the Fuzzy-PID controller significantly improves speed control accuracy and energy efficiency when controlling BLDC motors compared to the ZN-PID controller.

Keywords:

BLDC motor, PID, Ziegler-Nichols method, fuzzy inference system, speed control, membership function, rule base

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How to Cite

[1]
N. Rahoua, H. Benguesmia, R. Mechgoug, and N. Tkouti, “Comparative Performance Analysis of PID and Fuzzy-PID Speed Controllers for Brushless DC Motor Drives”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 5, pp. 27985–27992, Oct. 2025.

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