J
Jose Rodriguez
Researcher at Andrés Bello National University
Publications - 1039
Citations - 68908
Jose Rodriguez is an academic researcher from Andrés Bello National University. The author has contributed to research in topics: Model predictive control & Converters. The author has an hindex of 93, co-authored 803 publications receiving 58176 citations. Previous affiliations of Jose Rodriguez include University of Miami & April.
Papers
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Novel 20-MW downhill conveyor system using three-level converters
TL;DR: In this article, the authors present a very new drive system used to transport ore from the mine down to the concentrator plant in the copper mine "Los Pelambres". Eight 2500-kW motors are driven by three-level inverters with gate-turn-off thyristors (GTOs).
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Generalized Sequential Model Predictive Control of IM Drives With Field-Weakening Ability
TL;DR: Compared to the conventional SMPC, GSMPC not only eliminates the limitation on the execution order of two cost functions, but also presents less stator flux ripples and lower current total harmonic distortion with even lower average switching frequency.
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Predictive Control of a Back-to-Back NPC Converter-Based Wind Power System
TL;DR: In this work, the predictive current control is applied to both sides of the back-to-back NPC converter connecting a permanent-magnet synchronous wind power generator to the grid, and the obtained experimental results confirm the suitability of the proposed control approach.
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Control of a Matrix Converter With Imposed Sinusoidal Source Currents
TL;DR: A new strategy for matrix converters which allows optimal control of source and load currents is presented in this paper, which uses the commutation state of the converter in the subsequent sampling time according to an optimization algorithm given by the discrete system model and a simple cost function.
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Encoderless Finite-State Predictive Torque Control for Induction Machine With a Compensated MRAS
TL;DR: An encoderless predictive torque control is proposed by using a rotor flux model reference adaptive system (MRAS) estimation method to PTC, which has the virtue of low cost due to the absence of PWM and speed measurement components.