• Title/Summary/Keyword: servo systems

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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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Design of a Neuro-Euzzy Controller for Hydraulic Servo Systems (유압서보 시스템을 위한 뉴로-퍼지 제어기 설계)

  • 김천호;조형석
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.1
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    • pp.101-111
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    • 1993
  • Many processes such as machining, injection-moulding and metal-forming are usually operated by hydraulic servo-systems. The dynamic characteristics of these systems are complex and highly non-linear and are often subjected to the uncertain external disturbances associated with the processes. Consequently, the conventional approach to the controller design for these systems may not guarantee accurate tracking control performance. An effective neuro-fuzzy controller is proposed to realize an accurate hydraulic servo-system regardless of the uncertainties and the external disturbances. For this purpose, first, we develop a simplified fuzzy logic controller which have multidimensional and unsymmetric membership functions. Secondly, we develop a neural network which consists of the parameters of the fuzzy logic controller. It is show that the neural network has both learning capability and linguistic representation capability. The proposed controller was implemented on a hydraulic servo-system. Feedback error learning architecture is adopted which uses the feedback error directly without passing through the dynamics or inverse transfer function of the hydraulic servo-system to train the neuro-fuzzy controller. A series of simulations was performed for the position-tracking control of the system subjected to external disturbances. The results of simulations show that regardless of inherent non-linearities and disturbances, an accuracy tracking-control performance is obtained using the proposed neuro-fuzzy controller.

Improvement Air Gap Control for SIL based Near-Field Recording System (SIL을 이용한 근접장 기록계에서의 서보 방식의 개발)

  • Kim, Joong-Gon;Kim, Tae-Hun;Jeong, Jun;Park, No-Cheol;Yang, Hyun-Seok;Park, Young-Pil
    • Transactions of the Society of Information Storage Systems
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    • v.3 no.1
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    • pp.1-4
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    • 2007
  • A high density optical data storage device has been required for many years. In the field of the optical data storage, a near-field recording (NFR) technology is considered as a next generation one for achieving the high data density. Due to an evanescent wave effect occurred under 100nm distance which is the excessively small distance between the SIL and the disc, the most significant and difficult problem in this technology is to maintain a gap between a solid immersion lens (SIL) and a disc. Also, maintaining the gap under at least 50nm is required in the NFR gap servo system to use the evanescent wave effect efficiently. There are some institutes that have shown the novel gap servo control. In general, they use a mode switching servo method which consists of approach, hand-over and gap control mode. However there is a critical problem such as an overshoot at the tuning point from the approach mode to the hand-over mode, which may cause a collision between the SIL and the disc. In this paper, we show our NFR system and an improved gap servo system using an exponential function as the approach mode which can reduce the overshoot.

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Controller of nonlinear servo system

  • Yamane, Yuzo;Zhang, Xiajun
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.342-345
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    • 1996
  • This paper is dealing with a design of linear controller so that the plant output is regulated to follow a reference model output when the plant equation is described by a class of nonlinear time-varying control systems.

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Development of the Pneumatic Servo Valve

  • Kim, Dong-Soo;Choi, Byung-Oh;Kim, Kwang-Young;Lee, Won-Hee
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1146-1151
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    • 2003
  • Pneumatic servo valve is an electro-mechanical device which change electric signals to a proper pneumatic signals, that is, flowrate and pressure. In this study, a pneumatic servo valve was designed and each simulation was conducted on any variation in the flowrate depending upon the magnetic force of the linear force motor and the displacement of the spool. And permanent magnet was used as a material for the plunger of the servo valve. Thereby, a low electrical power consumption type coil was desinged. And a modeling for the coil design was conducted by using the magnetic circuit. also, the feasibility of the modeling was verified by using a commercial magnetic field analysis program. The designed and fabrication of the spool and sleeve, position sensor, servo controller and the dynamic characteristic verified by the experiment.

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Development of New Focus Control Model for Optical Disk Drives (광디스크 드라이브의 새로운 포커스 제어모델 개발)

  • Jee, Jung-Geun;Chang, Young-Bae;Park, No-Cheol;Park, Young-Pil
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.1004-1009
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    • 2002
  • There are four servo systems in a DVD drive such as a focus servo system, a tracking servo system, a sled servo system and a spindle servo system. Focus servo system maintains relative distance between lens and disk. In this paper, two plant models for the focus servo system will be presented. One of them is conventional and the other is newly developed. Focus error signal between lens and disk is detected using LDV 2 beam method. The system is observable and all states are estimated. Full states feedback controller and minimum order observed are designed using those states. Impulse responses are simulated. And experiment is performed to compare with responses of conventional model.

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Development of New Focus Control Model for Optical Disk Drives (광디스크 드라이브의 새로운 포커스 제어모델 재발)

  • Jee, Jung-Geun;Chang, Young-Bae;Park, No-Cheol;Park, Young-Pil
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11a
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    • pp.397.2-397
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    • 2002
  • There are 4 servo systems in a DVD drive such as a focus servo system, a tracking servo system, a sled servo system and a spindle servo system. Focus servo system maintains relative distance between lens and disk. In this paper, two plant models for the focus servo system will be presented. One of them is newly developed and the other is conventional. Focus error signal between lens and disk is detected using LDV 2 beam method. (omitted)

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The Analysis and Design of Electro-pneumatic Servo Valve (공기압 Servo Valve 설계 및 해석)

  • Ko, J.H.;Ryu, D.L.;Lee, J.H.;Kim, Y.S.;Kim, D.S.
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.1210-1214
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    • 2008
  • Electro-pneumatic servo valve is an electro-mechanical device which converts electric signal into pneumatic flow rate or pressure. In order to improve the overall performance of pneumatic servo systems, electro-pneumatic servo valves are required, which have fast dynamic characteristic, no air leakage at null, and can be fabricated at a low-cost. The first objective of this research is to design and fabricate a new electro-pneumatic servo valve which satisfies the above-mentioned requirements. In this paper, we has been modeled as a system consisting of coupled electro-mechanic and mechanical subsystems. The appropriateness of the model has been verified by simulation. The simulation model resolves the valve body motion and the solenoid current at high accuracy. Also, we are calculate the displacement of spool and computed results show winding currents, magnetic actuator force, flux density line, displacement, velocity, back EMF, eddy current etc.

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