公开(公告)号：US20170047876A1

公开(公告)日：2017-02-16

申请号：US15232862

申请日：2016-08-10

Applicant: LG ELECTRONICS INC. ,  Research Cooperation Foundation of Yeungnam University

Inventor： Soongkeun LEE ,  Chungill LEE ,  Seonwook PARK ,  Sungwoo BAE ,  Jaejung YUN ,  Jeongtae KIM ,  Younggeun LEE

IPC: H02P21/18 ,  H02P27/06 ,  H02P6/20

CPC classification number: H02P21/18 ,  H02J50/10 ,  H02J50/80 ,  H02P6/20 ,  H02P27/06

Abstract: A motor driving apparatus included in a home appliance may include an inverter to convert a direct current (DC) power into an alternating current (AC) power through a switching operation and to output the converted AC power to a motor, an output current detector to detect an output current flowing through the motor, a controller to control the inverter, wherein, during a first interval after the motor stops, the controller controls a phase current of a predetermined frequency to flow through the motor to estimate a position of a rotor of the motor, and estimates the position of the rotor of the motor based on the detected output current while the phase current of the predetermined frequency flows through the motor. Thereby, the sensorless motor driving apparatus can easily estimate the position of the motor rotor.

公开(公告)号：US20200018551A1

公开(公告)日：2020-01-16

申请号：US16581142

申请日：2019-09-24

Applicant: LG ELECTRONICS INC.

Inventor： Jinyoung HUR ,  Jeongtae KIM ,  Taewon JANG

IPC: F27D21/02 ,  A23L5/10 ,  F24C7/08

Abstract: Disclosed in an artificial intelligence cooking device. The artificial intelligence cooking device according to an embodiment includes: a sensing unit configured to photograph at least one food material and detect a distance to the at least one food material; and a processor configured to acquire a weight of the at least one food material by providing an image obtained by photographing the at least one food material and the detected distance to an artificial intelligence model, and perform cooking according to a cooking course that is set on the basis of a kind of the at least one food material and the weight of the at least one food material. Here, the artificial intelligence model is a neural network that is trained by using training data including an image obtained by photographing a food material and a distance from which an image is photographed and labeling data including a weight of a food material.

公开(公告)号：US20180054089A1

公开(公告)日：2018-02-22

申请号：US15800900

申请日：2017-11-01

Applicant: LG ELECTRONICS INC. ,  RESEARCH COOPERATION FOUNDATION OF YEUNGNAM UNIVERSITY

Inventor： Soongkeun LEE ,  Chungill LEE ,  Seonwook PARK ,  Sungwoo BAE ,  Jaejung YUN ,  Jeongtae KIM ,  Younggeun LEE

IPC: H02P27/08 ,  H02P21/22 ,  G09G5/00 ,  H04L5/14 ,  H04W4/00

CPC classification number: H02J50/10 ,  G09G5/003 ,  G09G5/006 ,  G09G5/36 ,  G09G2330/02 ,  G09G2370/16 ,  H02J50/12 ,  H02J50/80 ,  H02P21/24 ,  H04W4/80

Abstract: A home appliance is disclosed, including a first circuit unit including a converter configured to convert an Alternating Current (AC) power into a Direct Current (DC) power, a first coil, a first modulator/demodulator configured to wirelessly transmit the DC power generated by the converter using the first coil, and a first controller configured to control the first modulator/demodulator, and a second circuit including a second coil configured to receive a wireless power transmitted by the first circuit unit, a second modulator/demodulator configured to convert the wireless power received from the second coil, a rectifier configured to rectify an AC power generated by the second modulator/demodulator, and a second controller configured to control operation of the second modulator/demodulator, wherein the first modulator/demodulator and the second modulator/demodulator perform bidirectional time-division data communication.