Mathematical Modeling of Parameter Self-Tuning Fuzzy PID Controller for DC Motor Speed Regulation System
Abstract
system adopts a fuzzy PID hybrid control strategy, where fuzzy inference rules enable online adaptive adjustment of PID parameters to accommodate varying operating conditions. The platform integrates a high-performance motor driver, a high-precision encoder-based speed
measurement module, a MODBUS-RTU communication interface, and a multi-stage DC–DC power supply. Experimental results show that
the proposed controller effectively reduces the speed regulation response time, limits the speed overshoot to approximately 10%, and significantly improves steady-state speed control accuracy. The proposed approach provides a feasible solution for industrial DC motor speed regulation applications.
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DOI: http://dx.doi.org/10.70711/frim.v4i8.10030
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