Michał Jasiński

Wrocław University of Science and Technology

Papers

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About

Michał Jasiński is a control systems researcher whose work focuses on intelligent optimization techniques for electric motor drives. His primary research areas include robust control of separately excited DC motors (SEDCMs), fuzzy logic systems, and particle swarm optimization (PSO) algorithms. His most notable contribution, "Robust Control of SEDCM by Fuzzy-PSO" (2023), has already garnered 10 citations, demonstrating its early impact in the field. This work addresses a critical industrial need: precise rotational control for applications ranging from robotics and transport to drilling and rolling operations. By integrating fuzzy logic with PSO, Jasiński developed a controller that enhances the accuracy and robustness of SEDCMs, which are widely valued for their versatility and torque characteristics. His research bridges the gap between theoretical optimization and practical industrial automation, offering solutions that improve efficiency and reliability in real-world manufacturing environments. Jasiński's work is particularly relevant for students and engineers seeking to understand how hybrid intelligent control methods can solve complex motion control challenges.