• Title/Summary/Keyword: Survo Motor

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A study on improvement of The Operating Characteristics of the low cost BLDC using GA controller (GA 제어기를 사용한 저가형 BLDC의 동작특성 개선에 관한 연구)

  • Park Jong-Won;Hong Jeng-Pyo;Cho Hag-Lae;Park Sung-Jun;Won Tae-Hyun;Jung Young-Seok;Kwon Soon-Jae
    • Proceedings of the KIPE Conference
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    • 2002.07a
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    • pp.447-450
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    • 2002
  • A study on control of BLDC Is studying In progress, because of radical increase of survo motor at industrial machine and home machine. Nowaday, we study on control of BLDC, because of radical increase of survo motor at Industry and home. Although control ratio and output of the unit volume are good than the others , BLDC motor demands high cost. Therefor, the study on low cost BLDC have square wave back-emf is studing in progress. Therefor, BLDC Motor was studied to reduce high cost that have square wave back-emf at recently. This paper shows that BLDC Motor, developed highly responsility by using Genetic Algorithm(GA) that the advantages of learning ability, Also, this paper shows experiment and simulation at 200W BLDC that have squarewave back-emf by using Genetic Algorithm. At the result of this methods, the study prove experiment's right.

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Knee Rehabilitation System through EMG Signal analysis and BLDC Motor Control (근전도 신호 분석 및 BLDC모터 제어를 통한 무릎재활시스템)

  • Kwon, Hyeong-Gi;Ko, Hyeong-Gyu;Song, Yoon-Oh;Son, Eui-Seong;Lee, Boong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.1009-1018
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    • 2019
  • This paper describes the design and implementation of a rehabilitation medical device based on a EMG measurement. Rehabilitation systems are controlled using BLDC motors and motor drives. The BLDC motor drive controls the operation and the speed controls the drive through the external servo motor. In addition, potentiometer coupled to the outside of the motor transmits information about the position of the load being rotated by the motor. The rehabilitation algorithm is controlled by limiting the maximum angle of 0 to 120 by utilizing the motor according to the user setting stage during the rehabilitation exercise. The walking algorithm compensates motor control for the low leg of the signal using the difference value of the signal obtained with the surface denser attached to both inner muscles. The motor and surface denser are utilized for the walk motion to control the maximum angle of 0 to 80.