• Title/Summary/Keyword: Linearization method

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A Study on the Precision Position Control for the Linear BLDC Motor (선형 브러시리스 DC 모터의 정밀 위치제어에 관한 연구)

  • Chun, Yeong-Han;Kim, Ji-Won;Jeon, Jin-Hong;Jeon, Jeong-Woo;Kang, Do-Hyun
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.50 no.9
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    • pp.417-422
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    • 2001
  • The brushless DC motor(BLDCM) is widely used in many applications. One of the application of the BLDCM is the stage which is one of process in the semiconductor manufacturing processes. Very high performance is required in the stage process. In this paper, the 1 degree of freedom positioning system for the basic technology of the stage is studied. The linearization method is proposed to make the controller design procedures easy by measuring the thrust force ripple using the strain gauge. And through the experiments, it is proved that the inner velocity control loop is necessary to make more precise positioning control system.

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Sweeping Linearization of Wavelength Swept Laser using PID Control (PID 제어를 이용한 파장 스위핑 레이저의 스위핑 선형화)

  • Eom, Jinseob
    • Journal of Sensor Science and Technology
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    • v.29 no.6
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    • pp.412-419
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    • 2020
  • In this study, a PID control method for sweeping automatic linearization of a wavelength swept laser is proposed. First, the closedloop transfer function embodying the PID control is derived. Through the simulation of the function, Kp = 0.022, Ki = 0.008, Kd = 0.002 were obtained as the best PID coefficients for fast linear sweeping. The performance test using the PID coefficients showed that linear sweeping was held up well with a 98.7% decrement in nonlinearity after the 10th feedback, and 45 nm sweeping range, 1 kHz sweeping frequency, and 8.8 mW average optical power were obtained. The equipment consists of a fiber Bragg grating array, an optical-electronic conversion circuit, and a LabVIEW FPGA program. Every 5s, automatic feedback and PID control generate a new compensated waveform and produce a better linear sweeping than before. Compared with nonlinear sweeping, linear sweeping can reduce the cumbersome and time-consuming recalibration processes and produce more accurate measurement results.

Control of Semi-Active Suspensions for Commercial Vehicles (상용 차량용 반능동 현가 시스템의 제어)

  • Yi, K.;Jung, J.C.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.6 no.6
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    • pp.98-106
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    • 1998
  • In this study a control law and performance potential of semi-active suspensions for a tractor/semi-trailer have been investigated. The control law for airbag semi-active suspensions modeled in this study is developed using feedback linearization and Linear Quadratic (LQ) optimal control method. Inherent nonlinearity of the airbag suspensions has been considered in the control law development. It has been shown that the proposed semi-active control law provides better performance than that of well known sky-hook damping control strategy.

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Nonlinear System Control using Neural Networks (신경 회로망을 이용한 비선형 계통의 제어)

  • Lee, Kee-Sang;Park, Tae-Geon;Lim, Jae-Hyung;Lee, Jung-Dong
    • Proceedings of the KIEE Conference
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    • 1994.11a
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    • pp.356-358
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    • 1994
  • In this paper, to alleviate the effect of approximation error and discontinuous variation of the controller parameters, the variable structure control scheme using neural networks is presented. In the proposed method, the variable structure control rules for each local linear models are designed to reject the effect of linearization error caused by linearization of the nonlinear system. And neural network infer approximate controller gains from combination of local linear control gains. The proposed control methods can be used to control nonlinear systems and it has robust characteristic against system parameter variations and external disturbances.

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An Experimental Analysis on the Stewart Platform-Based 6 Axis Force-Torque Sensor (Stewart Platform 방시그이 6축 힘-토크 센서에 관한 실험적 해석)

  • Han, J.H.;Kang, C.G.
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.1
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    • pp.78-83
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    • 1997
  • The paper presents the experimental analysis of a Stewart platform-based force-torque senor. The closed-form solution of forward kinematics of the Stewart platform is derived approximately by way of a linearization technique, and the solution is used in the force analysis of the force-torque sensor. An exper- mental studies show that the proposed method including gravity compensation algorithm is valid for Stew- art platform-based force-torque sensors. The performance of the developed force-torque sensor is evaluated in view of accuracy and linearity in measurements.

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Application of robust fault detection for DC motor considering system uncertainty (불확실성을 고려한 DC Motor의 견실한 이상검출)

  • 김대우;유호준;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.856-859
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    • 1997
  • In this paper we treat the application of fault detection method in DC motor having both model mismatch and noise problems. A fault detection method presented by Kwon et al. (1994) for SISO systems has been here experimented. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with the real plant, DC motor. The experimental result of robust fault detection method is shown to have good performance via with the alternative fault detection method which do not account noise.

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Optimal design of nonlinear seismic isolation system by a multi-objective optimization technique integrated with a stochastic linearization method (추계학적 선형화 기법을 접목한 다목적 최적화기법에 의한 비선형 지진격리시스템의 최적설계)

  • Kwag, Shin-Young;Ok, Seung-Yong;Koh, Hyun-Moo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.14 no.2
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    • pp.1-13
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    • 2010
  • This paper proposes an optimal design method for the nonlinear seismic isolated bridge. The probabilities of failure at the pier and the seismic isolator are considered as objective functions for optimal design, and a multi-objective optimization technique is employed to efficiently explore a set of multiple solutions optimizing mutually-conflicting objective functions at the same time. In addition, a stochastic linearization method is incorporated into the multi-objective optimization framework in order to effectively estimate the stochastic responses of the bridge without performing numerous nonlinear time history analyses during the optimization process. As a numerical example to demonstrate the efficiency of the proposed method, the Nam-Han river bridge is taken into account, and the proposed method and the existing life-cycle-cost based design method are both applied for the purpose of comparing their seismic performances. The comparative results demonstrate that the proposed method not only shows better seismic performance but also is more economical than the existing cost-based design method. The proposed method is also proven to guarantee improved performance under variations in seismic intensity, in bandwidth and in the predominant frequency of the seismic event.

Acceleration of the Time-Dependent Radiative Transfer Calculations using Diffusion Approximation

  • Noh, Tae-Wan
    • Proceedings of the Korean Nuclear Society Conference
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    • 2004.10a
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    • pp.151-152
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    • 2004
  • An acceleration technique combined with the discrete ordinates method which has been widely used in the solution of neutron transport phenomena is applied to the solution of radiative transfer equation. The self-adjoint form of the second order radiation intensity equation is used to enhance the stability of the solution, and a new linearization method is developed to avoid the nonlinearity of the material temperature equation. This new acceleration method is applied to the well known Marshak wave problem, and the numerical result is compared with that of a non-accelerated calculation

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Robust fault detection method for uncertain multivariable systems (불확실성을 갖는 다변수 시스템의 이상검출기법)

  • 홍일선;김대우;권오규
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.710-713
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    • 1996
  • This paper deals with the fault detection problem in uncertain linear multivariable systems having both model mismatch and noise. A robust detection presented by Kwon et al.(1994) for SISO systems has been here extended to the multivariable systems are derived. The model mismatch includes here linearization error as well as undermodelling. Comparisons are made with alternative fault detection method which do not account noise. The new method is shown to have good performance.

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