Yannis L. Karnavas

Democritus University of Thrace, Hella (Germany)

Papers

Total Citations

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About

Yannis L. Karnavas is a researcher focused on the intersection of industrial automation, motor control systems, and intelligent optimization algorithms. His work primarily addresses the modeling, control, and parameter estimation of DC and AC motor drives, with a strong emphasis on Industry 4.0 and IoT-enabled frameworks. Karnavas has made notable contributions to improving the dynamic behavior and precision of motor-driven systems, particularly in robotics and conveyor applications. His 2018 paper on an enhanced simulation model for DC motor belt drive conveyor systems (8 citations) explores the trade-offs between reduced inertia and positioning accuracy caused by flexible dynamics. In 2019, he advanced the field by applying the Salp Swarm Algorithm for DC motor parameter estimation within an Industry 4.0 control systems IoT framework (5 citations), demonstrating how bio-inspired metaheuristics can optimize motor performance in real-time industrial environments. Karnavas’s work is particularly relevant for students and researchers interested in smart manufacturing, servo drives, and the integration of computational intelligence into electromechanical systems.