• Title/Summary/Keyword: 교류 서보 드라이버

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Implementation of Motor Driver for Control of AC Servo Motor of Robot (로봇의 다축 모션 제어용 AC 서보 모터 드라이버 구현)

  • Kim, Yong-Jin;Bae, Young-Chul;Kim, Kwang-Heon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.7 no.3
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    • pp.553-558
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    • 2012
  • An effort for motion control of multi-axis in robot have been continued recently. In this paper, we propose implementation method for AC servo driver that can be easily motion control of multi-axis in robot. This proposed method implement EtherCAT communication technologies of bi-directional optical communication based on single optical core method that applied WDM for communication between control stage which is upper and AC servo drive stage.

An Implementation of Vector Control of AC Servo Motor based on Optical-EtherCAT Network (광-ETherCAT 네트워크 기반 PMSM의 벡터제어 구현)

  • Kim, Yong-Jin;Kim, Kwang-Heon;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.8 no.4
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    • pp.583-588
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    • 2013
  • In this paper we propose implement technique of vector current control in order to verify performance of an AC servo driver that is able to easy control of motion with multi-axis in the robot. In doing do, we have developed the AC servo driver to driving PMSM, and then we confirm that this driver whether operating or not normally by controlling of vector current. The vector current control was performed at the no load condition in PMSM. Then we compare command control and tracking control. As a result of verification, we recognize we get a satisfactory result.

A Study on the PI Controller of AC Servo Motor using Genetic Algorithm (유전자알고리즘을 이용한 교류서보전동기의 PI 제어기에 관한 연구)

  • Kim, Hwan;Park, Se-Seung;Choi, Youn-Ok;Cho, Geum-Bae;Kim, Pyoung-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.7
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    • pp.81-91
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    • 2006
  • Recently, G.A studies have studied and demonstrated that artificial intelligence like G.A networks, G.A PI controller. The design techniques of PI controller using G.A with the newly proposed teaming algorithm was presented, and the designed controller with AC servo motor system. The goal of this paper is to design the AC servo motor using genetic algorithm and to control drive robot. And in this paper, we propose a genetic algorithms approach to find an optimal or near optimal input variables for genetic algorithm PI controller. Our experimental results show that this approach increases overall classification accuracy rate significantly. Finally, we executed for the implementation of high performance speed control system. It is used a 16-bit DSP, IMS320LF2407, which is capable of the high speed and floating point calculation.