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Lars Norum

Researcher at Norwegian University of Science and Technology

Publications -  100
Citations -  2584

Lars Norum is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Photovoltaic system & Maximum power point tracking. The author has an hindex of 23, co-authored 100 publications receiving 2285 citations. Previous affiliations of Lars Norum include Norwegian Institute of Technology.

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Design and implementation of an extended Kalman filter for the state estimation of a permanent magnet synchronous motor

TL;DR: In this paper, the authors proposed a discrete extended Kalman filter for real-time estimation of the speed and rotor position of a permanent magnet synchronous motor (PMSM) without a position sensor.
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Modeling and Simulation of All-Electric Ships With Low-Voltage DC Hybrid Power Systems

TL;DR: In this article, a unified model for bidirectional converters is proposed to avoid transitions between two separate models, and a simulation platform using the derived models is developed for the system-level analysis of hybrid electric ships.

Grid connected Converters for Photovoltaic, State of the Art, Ideas for Improvement of Transformerless Inverters

TL;DR: The paper presents a short overview of the state of the art for grid tied PV inverters at low and medium power level (1..100 kW), mainly intended for rooftop applications.
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Optimized efficiency of all-electric ships by dc hybrid power systems

TL;DR: In this article, an optimization algorithm is proposed to minimize fuel consumption under various loading conditions, and an online optimization strategy for fuel consumption is implemented to evaluate potential fuel saving provided by a shipboard dc hybrid power system.
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Modular Multilevel Converter With an Adaptive Observer of Capacitor Voltages

TL;DR: In this article, an adaptive observer design has been proposed to estimate the capacitance value of the cell capacitors as a parameter uncertainty for making the system performance robust with unknown constant parameters.