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Kevin Lee

Researcher at Eaton Corporation

Publications -  82
Citations -  1294

Kevin Lee is an academic researcher from Eaton Corporation. The author has contributed to research in topics: Harmonics & Voltage source. The author has an hindex of 20, co-authored 82 publications receiving 1184 citations. Previous affiliations of Kevin Lee include University of Wisconsin-Madison.

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Online Updating of Rotor Time Constant Based on Combined Voltage and Current Mode Flux Observer for Speed-Sensorless AC Drives

TL;DR: The simultaneous online estimation algorithm of rotor time constant and rotor speed for a speed-sensorless induction machine is proposed and the impact of stator resistance error is severely reduced by the closed-loop structure of combined voltage and current (UI) mode flux observer.
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DC bus electrolytic capacitor stress in adjustable- speed drives under input voltage unbalance and sag conditions

TL;DR: In this article, the effects of the input voltage unbalance and sags on the DC bus electrolytic capacitors in adjustable-speed drives (ASDs) were analyzed to predict their impact on expected capacitor lifetime.
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Automeasurement of the Inverter Output Voltage Delay Curve to Compensate for Inverter Nonlinearity in Sensorless Motor Drives

TL;DR: In this paper, the authors proposed a method to automatically obtain the total output voltage delay curve, which is a significant part of the inverter voltage error model, in order to improve the performance of sensorless field-oriented controlled motor drives at low speed.
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Closed-form analysis of adjustable-speed drive performance under input-voltage unbalance and sag conditions

TL;DR: In this paper, the authors provided an approximate closed-form analysis of the impact of line-voltage sags and unbalance on the induction-machine phase voltages, currents, and torque pulsations for a general-purpose adjustable-speed drive (ASD) consisting of a three-phase diode bridge rectifier, a dc link, and a pulsewidth modulation (PWM) inverter delivering constant volts-per-hertz excitation.
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Performance Characterization of Random Pulse Width Modulation Algorithms in Industrial and Commercial Adjustable-Speed Drives

TL;DR: In this article, the theoretical power spectrum analysis as the basis for random PWM in industrial and commercial adjustable-speed drives (ASD) is presented, and five state-of-the-art PWM strategies, their voltage, current, and acoustic noise spectra characteristics are quantitatively evaluated.