Volume 2 - Issue 2, March - April 2026

This paper presents the design and experimental validation of an intelligent speed control and protection system for a threephase induction motor using a Mamdani-type Fuzzy Logic Controller (FLC) implemented on an Arduino UNO microcontroller in conjunction with a Variable Frequency Drive (VFD). Unlike conventional Proportional-Integral (PI) controllers that rely on accurate plant models and fixed gain parameters, the proposed FLC employs linguistic variables, a structured rule base, and centroid-based defuzzification to provide adaptive, nonlinear control. Four operating parameters — motor current, winding temperature, supply voltage stability, and speed variation — are continuously sensed and fed into the fuzzy inference engine. A dual-Arduino architecture separates sensor acquisition from control decisionmaking, improving reliability and response latency. The system incorporates staged autonomous protection logic for overcurrent and thermal faults, initiating speed reduction or emergency shutdown through the VFD and relay module. Experimental results demonstrate closed-loop speed regulation within ±2% of the set-point, a settling time of approximately two seconds under 50% step load changes, and an estimated 10–20% reduction in energy consumption relative to fixedfrequency operation. Real-time waveforms of voltage, current, temperature, RPM, output frequency, and impedance are visualized on a Python-based monitoring interface, confirming stable and consistent system behaviour.

Janvhi Shukla, Mahak Pal, Priya Lacharwar, Rutuja Agashe, Saloni Bhoskar, Dr.U.E.Hiwase, Prof.K.G.Gaurkhede,"Speed Control of Three-Phase Induction Motor Using Fuzzy Logic System" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(1448-1452) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.