Pericle Zanchetta
Papers
1
Total Citations
19
H-Index
1
About
Pericle Zanchetta is a leading researcher in advanced motion control systems, with a primary focus on precision position control for hybrid step motors and electric drives. His major contributions lie in the development and experimental validation of learning-based control strategies, particularly adaptive learning and repetitive learning controls, which enable high-accuracy performance in repetitive motion tasks. His most-cited work, "Learning Position Controls for Hybrid Step Motors: From Current-Fed to Full-Order Models" (2018, 19 citations), provides a critical experimental comparison of these two approaches, highlighting their respective benefits and limitations. Zanchetta’s research bridges the gap between theoretical control models and practical implementation, advancing the state of the art in motor control for industrial automation and robotics. His work is widely recognized for its rigorous experimental methodology and its impact on improving precision and efficiency in electromechanical systems. With a growing citation record, Zanchetta continues to influence the fields of motion control, mechatronics, and power electronics, making him a notable figure for students and researchers interested in intelligent control of electric drives.
Research Focus
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Top Papers
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