A
Angelo Raciti
Researcher at University of Catania
Publications - 118
Citations - 2316
Angelo Raciti is an academic researcher from University of Catania. The author has contributed to research in topics: Power module & Voltage. The author has an hindex of 25, co-authored 118 publications receiving 2107 citations. Previous affiliations of Angelo Raciti include University of Palermo & University of South Carolina.
Papers
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Journal ArticleDOI
Efficiency enhancement of permanent-magnet synchronous motor drives by online loss minimization approaches
C. Cavallaro,A. O. Di Tommaso,Rosario Miceli,Angelo Raciti,Giuseppe Ricco Galluzzo,Marco Trapanese +5 more
TL;DR: A new loss minimization control algorithm for inverter-fed permanent-magnet synchronous motors (PMSMs), which allows for the reduction of the power losses of the electric drive without penalty on its dynamic performance, is analyzed, experimentally realized, and validated.
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Fuzzy adaptive vector control of induction motor drives
TL;DR: In this paper, a model reference adaptive control (MRAC) system for the speed control of indirect field-oriented (IFO) induction motor drives based on using fuzzy laws for the adaptive process and a neuro-fuzzy procedure to optimize the fuzzy rules is presented.
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A robust adaptive controller for PM motor drives in robotic applications
TL;DR: In this paper, an adaptive speed and position regulator for robotic applications is proposed, which is characterized by a reduced amount of computation and is based on the model reference adaptive control approach to compensate the variations of the system parameters.
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Sensorless vector and speed control of brushless motor drives
TL;DR: An approach is presented to the speed control of permanent magnet synchronous motors without mechanical transducers through the instantaneous stator flux position and an estimated value of the load angle through a closed-loop state observer.
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Switching-behavior improvement of insulated gate-controlled devices
TL;DR: In this article, a new driver technique that allows optimization of the switching speed, reduction of the energy losses during the switching time, and limitation of the electromagnetic interference (EMI) was proposed.