Abstract
This study presents an advanced performance analysis of a fuzzy-PID controller for Single-Phase Interior Permanent Magnet (IPM) motors using MATLAB/Simulink simulations. The fuzzy-PID controller dynamically adjusts its gains in real time via fuzzy logic, enhancing speed regulation and disturbance rejection while addressing the motor’s inherent nonlinearities and saliency effects. Performance comparisons with a conventional fixed-gain PID controller reveal that the fuzzy-PID achieves a 42% faster rise time, 68% lower overshoot, and reduced steady-state error (<0.8 rpm vs. ∼5.2 rpm for PID). Under ramp and sinusoidal inputs, the fuzzy-PID maintains lower tracking errors (∼7.5 rpm vs. ∼26 rpm for PID) and minimal phase lag (7° vs. 22° for PID). Robustness tests demonstrate superior disturbance rejection and faster recovery from load variations. The results confirm that fuzzy-PID control significantly improves transient response, accuracy, and adaptability for single-phase IPM motor drives, making it suitable for high-performance applications.
Recommended Citation
Michael, Ogholo; Benjamin, Akinloye; and Edewor, Enivweru
(2026)
"Performance Analysis of Fuzzy-Pid Control for Single-Phase Interior Permanent Magnet Motors,"
AUIQ Technical Engineering Science: Vol. 3:
Iss.
1, Article 5.
DOI: https://doi.org/10.70645/3078-3437.1055



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