• Title/Summary/Keyword: Servo

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The simulation of INS error due to gimbal servo dynamics (김블 서어보 다이나믹스에 의한 INS 오차 시뮬레이션)

  • 김현백;정태호;오문수
    • 제어로봇시스템학회:학술대회논문집
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    • 1986.10a
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    • pp.281-285
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    • 1986
  • In this paper, the characteristics of disturbance torque of gimbal servo dynamics are studied, and the simulation methods of gimbal servo dynamics and INS error due to angular rate and linear acceleration of vehicle are proposed. In results of the simulation for a specific INS, it is estimated that INS velocity error due to gimbal servo dynamics is nearly proportional to square of vehicle acceleration.

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A Study on the Characteristics of the Compact Hydraulic Servo Mechanism for Proportional Position Control (비례 위치 제어용 소형 유압 서보 기구의 특성에 관한 연구)

  • Lee, Seung-Hyun;Song, Chang-Seop
    • Tribology and Lubricants
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    • v.18 no.1
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    • pp.49-54
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    • 2002
  • In this study, the characteristics of the hydraulic servo mechanism for proportional position control of a hydraulic construction eguipment were analyzed using the developed analysis tool. The result were used in the others hydraulic system except construcdtion eguipment to improve the static performance of the system, the system parameter effects on the controllable region and the hydraulic servo mechanism variation were studied.

Development of Curved-Glass Automatic Shaping System using PID Servo-Drivers (PID 서보제어기를 이용한 곡면유리 자동성형 시스템 개발)

  • 유병국;양근호
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.161-164
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    • 2003
  • This research presents the parallel control scheme of PID servo-driver for shaping of the curved glass. The designed system consists of a PC, main controller and 11 servo-drivers. Each elements are connected by using RS-232C and 8-bit bus communication. In order to guarantee the stability and the control performance, we use the LM629, a precision PID motion controller, and LMD18200, a H-bridge on the servo-drivers. PC calculates position values of 11 DC motors by using the pre-determined curvature value and offers the user interface environment operator.

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A Study on Humanoid Robot Control Method Using Zigbee Wireless Servo Motor with Sensor Network

  • Shin, Dae-Seob;Lee, Hyeong-Cheol
    • Journal of IKEEE
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    • v.16 no.3
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    • pp.235-243
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    • 2012
  • In this study, we developed two legged multi-joint robot by using wireless servo motor that was applied by wireless sensor network technology, which is widely used recently, and performed an experiment of walking method of two legged multi-joint robot. We constructed the star network with servo motors which were used at each joint of two-legged robot. And we designed the robot for operation by transmission of joint control signal from main control system or by transmission of the status of each joint to the main control system, so it operates with continuously checking the status of joints at same time. We developed the humanoid robot by using wireless digital servo motor which is different from existing servo motor control system, and controlled it by transmitting the information of angles and speeds of robot joints to the motor(node) as a feedback through main control system after connecting power and setting up the IDs to each joint. We solved noisy problem generated from wire and wire length to connection point of the control device by construction of the wireless network instead of using existing control method of wiring, and also solved problem of poor real time response to gait motion by controlling the position with continuous transmission of control signals to each joint. And we found that the effective control of robot is able by performing the simulation on walking motion in advance with the developed control algorithm which was downloaded into installed memory. Also we performed the stable walking with two-legged robot by attaching pressure sensor to robot sole. And we examined the robot gait operated by application of calculated algorithm on robot movement to each joint. In this study, we studied the method of controlling robot gait motion by using wireless servo motors and measured the torque applied to each joint, and found that the developed wireless servo motor by ZigBee sensor network offers easier control of two legged robot gait and better circuit configuration of it than the existing wired control system could do.

KSR-III 김발엔진 구동장치 서보필터 설계

  • Sun, Byung-Chan;Jung, Ho-Lac
    • Aerospace Engineering and Technology
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    • v.1 no.2
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    • pp.105-112
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    • 2002
  • In this paper, a servo filter design for the gimbal engine actuator system of KSR-III(Korea Sounding Rocket-III) is considered. A reasonable filter structure is determined based on the actuator analytic models. The servo filter consists of a 2-nd order lowpass filter and a 1-st order compensator. The lowpass filter is required to protect the actuator from high frequency vibration, and the compensator to enhance the resulting stability. A Butterworth type servo filter is considered as the simplest one. The final servo filter type is determined by evaluating simultaneously both high frequency gain reduction performance and the corresponding KSR-III stability margin. Consequently it is revealed that a notch type servo filter located on the error between command signal and feedback signal in the control loop is very effective. Later, based on the proposed servo filter type, an onboard servo filter hardware of KSR-III will be designed and tested.

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PC-based low speed control of a servo motor using instantaneous speed detection (PC 기반의 순시속도 검출에 의한 서보 모터의 저속 제어)

  • 류재규;박정일;이석규
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.377-382
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    • 1993
  • The low speed control of a servo motor using instantaneous speed detection method is described. To estimate the instantaneous speed from the average speed, the speed estimator of the first or second order is used. We confirm that these estimatorsimprove the speed control performance of a servo system with experiments.

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Neural network for servo control system

  • Hashimoto, Hideki;Endo, Junichi;Harashima, Fumio
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.1125-1128
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    • 1989
  • In this paper, the inverse model of a servo system is realized in a PDP-type neural network. The neural network learns the mapping between the input and output of the servo system. Some simulation results show the effectiveness of this inverse model obtained here.

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