Adaptive Microprocessor-Based Interval Type-2 Fuzzy Logic Controller Design for DC Micro-Motor Control Considering Hardware Limitations

The increasing adoption of high-performance DC motor control in embedded systems has driven the development of cost-effective solutions that extend beyond traditional software-based optimization techniques. This work presents a refined hardware-centric approach implementing real-time particle swarm...

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Bibliographic Details
Published in:	Energies (Basel) Vol. 18; no. 21; p. 5781
Main Authors:	Chatzipapas, Nikolaos V., Karnavas, Yannis L.
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.11.2025
Subjects:	Accuracy Artificial intelligence Central processing units Control algorithms Controllers Design optimization Efficiency Electric vehicles embedded interval type-2 FLC Embedded systems experimental DC motor control Fuzzy algorithms Fuzzy logic Fuzzy sets Fuzzy systems Genetic algorithms hardware–software co-design low-cost prototyping Mathematical optimization Medical device industry Medical equipment Microprocessors Neural networks Optimization techniques Robotics Software STM32 microcontroller Velocity Washington, D.C
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
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