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Matias Diaz

Researcher at University of Santiago, Chile

Publications -  121
Citations -  1441

Matias Diaz is an academic researcher from University of Santiago, Chile. The author has contributed to research in topics: Modular design & Converters. The author has an hindex of 18, co-authored 95 publications receiving 996 citations. Previous affiliations of Matias Diaz include Carnegie Institution for Science & University of Chile.

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An Integrated Converter and Machine Control System for MMC-Based High-Power Drives

TL;DR: A new integrated control scheme is discussed to regulate the voltage fluctuations of the modular multilevel converter, based on closed-loop vector-control of the Voltage fluctuations, maintaining them inside a predefined threshold.
Posted Content

New Planetary Systems from the Calan-Hertfordshire Extrasolar Planet Search and the Core Accretion Mass Limit

TL;DR: In this paper, the authors report the discovery of eight new giant planets, and updated orbits for four known planets, orbiting dwarf and subgiant stars, using the CORALIE, HARPS, and MIKE instruments as part of the Calan-Hertfordshire Extrasolar Planet Search.
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Model-Predictive-Control-Based Capacitor Voltage Balancing Strategies for Modular Multilevel Converters

TL;DR: Two capacitor voltage balancing strategies for modular multilevel converter (MMC) applications are presented, designed to efficiently solve a constrained optimal control problem, where the predicted capacitor voltage errors are included in the cost function with the demanded output voltage of a cluster being forced through an equality constraint.
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A New Space-Vector-Modulation Algorithm for a Three-Level Four-Leg NPC Inverter

TL;DR: In this paper, a three-dimensional space vector modulation (SVM) algorithm is proposed for power conversion systems interfaced to four-wire supplies, and a comprehensive analysis of the algorithm implemented on a threelevel, four-leg neutral-point-clamped converter is provided.
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Fast Convergence Delayed Signal Cancellation Method for Sequence Component Separation

TL;DR: In this letter, a DSC methodology with fast convergence time is proposed and it is shown that an improved separation of the positive and negative sequences is feasible.