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Atsuo Kawamura
Researcher at Yokohama National University
Publications - 443
Citations - 8244
Atsuo Kawamura is an academic researcher from Yokohama National University. The author has contributed to research in topics: Chopper & Inverter. The author has an hindex of 43, co-authored 439 publications receiving 7882 citations. Previous affiliations of Atsuo Kawamura include Yaskawa Electric Corporation & Massachusetts Institute of Technology.
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Wireless transmission of power and information through one high-frequency resonant AC link inverter for robot manipulator applications
TL;DR: In this paper, a contactless decentralized power supply with communication capability through only one transformer is proposed, and a prototype of a wireless transmission system of power and information (WTPI) was built, and the two-axis position controls of servo motors were achieved by transferring the power and signal through one rotatable high-frequency transformer.
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Dead Beat Microprocessor Control of PWM Inverter for Sinusoidal Output Waveform Synthesis
TL;DR: In this article, a new control technique based on dead beat control theory to obtain a nearly sinusoidal PWM inverter output voltage is described, which inherently provides very good voltage regulation, phase positioning, and compensation for load disturbances and nonlinear loads.
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Deadbeat controlled PWM inverter with parameter estimation using only voltage sensor
TL;DR: In this article, a technique based on deadbeat control theory is proposed to obtain a nearly sinusoidal PWM (pulsewidth-modulated) inverter output voltage using only a voltage sensor.
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Study on intelligent battery charging using inductive transmission of power and information
TL;DR: In this article, the authors highlighted the effectiveness of the proposed closed-loop charging through the WTPI coupling, and the charging condition is optimized, according to the estimated estimation of the residual battery capacity.
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Perfect tracking control based on multirate feedforward control with generalized sampling periods
TL;DR: By generalizing the relationship between the sampling period of plant output and the controlperiod of plant input, the proposed method can be applied to various systems with hardware restrictions of these periods, which leads to higher performance.