• Title/Summary/Keyword: 외란 제거

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A Study on the MRPID parameter tuning method (MRPID 제어기의 튜닝 방법연구)

  • Lyu, Hyun-June
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.44 no.6
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    • pp.21-28
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    • 2007
  • Using multi-resolution, the mutiresolution proportional-integral-derivative(MRPID) controller functions as a filter to eliminate noise and disturbance which are included in error signals. If the sampling frequency is high, the response time will be delayed because of the remaining high frequency component although the overshoot is removed. However, if the sampling frequency is low, the response time will be enhanced by getting rid of signal components while the overshoot is increased. In this paper, the sampling frequency tuning method is used the response of the proportional integral derivative(PID) controller and the MRPID controller, and the parameter tuning method is considered the characteristic of the MRPID controller. The proposal method is verified by computer simulations.

Sliding Mode Control with Super-Twisting Algorithm for Surge Oscillation of Mooring Vessel System (슈퍼트위스팅 슬라이딩모드를 이용한 선박계류시스템의 동적제어)

  • Lee, Sang-Do;Lee, Bo-Kyeong;You, Sam-Sang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.24 no.7
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    • pp.953-959
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    • 2018
  • This paper deals with controlling surge oscillations of a mooring vessel system under large external disturbances such as wind, waves and currents. A control synthesis based on Sliding Mode Control (SMC) with a Super-Twisting Algorithm (STA) has been applied to suppress nonlinear surge oscillations of a two-point mooring system. Despite the advantages of robustness against parameter uncertainties and disturbances for SMC, chattering is the main drawback for implementing sliding mode controllers. First-order SMC shows convergence within the desired level of accuracy, in which chattering is the main obstacle related to the destructive phenomenon. Alternatively, STA completely eliminates chattering phenomenon with high accuracy even for large disturbances. SMC based on STA is an effective tool for the motion control of a nonlinear mooring system because it avoids the chattering problems of a first-order sliding mode controller. In addition, the error trajectories of controlled mooring systems implemented by means of STA form in the bounded region. Finally, the control gain effect of STA can be observed in sliding surface and position trajectory errors.

Multivariable $H_{\infty}$ disturbance rejection control for tandem cold mills (연속 냉간 압연기의 다변수 $H_{\infty}$ 외란제거 제어)

  • 김승수;김종식
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.391-394
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    • 1997
  • A H$_{\infty}$ control techniques with roll eccentricity filter is proposed to alleviate the effect of entry thickness variation and roll eccentricity occurred in rolling stand itself of tandem cold mills. A robust controller to the disturbances is designed using H$_{\infty}$ control techniques, which can reflect the input direction of disturbances and knowledge of disturbance spectrum in the frequency domain. And, non-standard H$_{\infty}$ control problem caused by selection of weight function having poles on j.omega. axis is discussed. The evaluation for the resultant controller composed by H$_{\infty}$ synthesis is done through computer simulations. The effectiveness of the proposed method is compared to those of the conventional LQ synthesis method and a feedforward controller against roll eccentricity, which was already studied.ied.

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Design of Generalized Model-based Disturbance Rejection Controller with Two Loops (두 개의 루프를 갖는 일반화된 모델 기반의 외란 제거 제어기 설계)

  • 최현택;김봉근;엄광식
    • Journal of Institute of Control, Robotics and Systems
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    • v.10 no.5
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    • pp.385-394
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    • 2004
  • This paper proposes the generalized structure of a model-based disturbance rejection controller called a Robust Internal-loop Compensator (RIC). The framework consists of the RIC in the internal-loop to eliminate disturbances and a feedback controller in the external-loop to achieve nominal control performance. As the main contribution of this paper, we redefine the design problem of the RIC as a regulation control problem, then show that this new definition with the RIC structure provides more design flexibility and less implementation constraints. This is verified through a comparative structural analysis with Disturbance Observer (DOB) and Adaptive Robust Control (ARC). Two design examples of the RIC are given, along with practical issues that should be considered in the design procedure. The proposed framework is demonstrated by simulations of a rotary-type motor and experiments with a linear-type motor system.

Use of learning method to generate of motion pattern for robot (학습기법을 이용한 로봇의 모션패턴 생성 연구)

  • Kim, Dong-won
    • Journal of Platform Technology
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    • v.6 no.3
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    • pp.23-30
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    • 2018
  • A motion pattern generation is a process of calculating a certain stable motion trajectory for stably operating a certain motion. A motion control is to make a posture of a robot stable by eliminating occurring disturbances while a robot is in operation using a pre-generated motion pattern. In this paper, a general method of motion pattern generation for a biped walking robot using universal approximator, learning neural networks, is proposed. Existing techniques are numerical methods using recursive computation and approximating methods which generate an approximation of a motion pattern by simplifying a robot's upper body structure. In near future other approaches for the motion pattern generations will be applied and compared as to be done.

Design of Steering Controller for Autonomous Vehicle System on Magnetic Based Using Neural Network (신경망을 이용한 자계기반 자율주행 시스템의 조향 제어기 설계)

  • Lim Dae-Young;Jung Young-Yoon;Ryoo Young-Jae
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.11a
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    • pp.185-188
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    • 2005
  • 본 논문에서 신경망을 이용한 자계기반 자율주행 시스템의 조향 제어기 설계를 제안한다. 자율주행시스템에서 가장 중요한 핵심요소는 자계토로상의 센서의 현재위치를 파악하고 주행하는 것이다. 먼저 자계도로상의 현재위치를 파악하기 위한 방법으로, 첫 번째 자기쌍극자 모델식이 센서에서 측정된 자계와 일치함을 보였다. 두 번째 Peak Mapping법을 이용하여 외란으로 작용하는 지자계 성분을 제거할 수 있음을 입증하였다. 세 번째로 신경망을 이용하여 높이성분($B_{z}$)가 변하더라도 정확한 거리가 계측됨을 확인하였다. 따라서 신경망을 이용하면 소량의 메모리를 사용할 수 있으므로 실제 시스템에서 경제적인 효과를 볼 수 있고, 정확한 거리를 계측하므로 경로를 이탈하지 않고 자율주행이 가능한 시스템을 설계하였다.

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Control System Design for the Focus Servo System of DVD Drive (DVD 드라이브의 포커스 서보 시스템 제어기 설계)

  • 한기봉;이시복
    • Journal of KSNVE
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    • v.11 no.1
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    • pp.49-56
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    • 2001
  • In this paper, two plant models, of which one is newly developed and the other one is the conventional one, of the focus servo system of DVD drive are presented and a two-degree-of freedom controller consisted of Inverse dynamics feedforward and LQG/LTR feedback controller is designed. The newly developed plant model is used to design the feedforward controller and the conventional model is used for the design of feedback controller. The output of newly developed model is the displacement of objective lens and the output of conventional model is the focus error of the DVD focus servo system. The displacement of the objective lens is estimated by the dynamics model of the DVD focus servo system. The disturbance rejection performance of the two-degree-of freedom controller is compared with that of an LQG/LTR one.

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Periodic Disturbance Cancellation by using Dual-Input Describing Function (DIDF) Method (DIDF 방법을 이용한 주기성 외란의 제거)

  • Choe, Yeon-Wook;Lee, Hyung-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.1
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    • pp.168-175
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    • 2010
  • The issue of rejecting periodic disturbances arises in various applications dealing with rotating machinery. A new method using DIDF (Dual-Input Describing Function) is presented for the rejection of periodic disturbances with uncertain frequency. This can be added to an existing feedback control system without altering the closed-loop system stability. The objective is to design a nonlinear compensator to secure specified oscillation amplitude and frequency which are the same as disturbances. We suggest two procedures to determine coefficients for DIDF's synthesis. The structure of the proposed DIDF is so simple that we can easily synthesize. A number of computer simulations were carried out to demonstrate the salient feature of the proposed DIDF compared to the conventional ones(that is, adaptive algorithms).

Flow Control for Fuel Cell System with DSP Controller (DSP Controller를 적용한 연료전지 시스템의 유량 제어)

  • Shin, Bum-Su;Choi, Dong-Min;Han, Se-Young;Lee, Ho-Jun
    • 한국신재생에너지학회:학술대회논문집
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    • 2007.06a
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    • pp.184-187
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    • 2007
  • 본 논문은 DSP Controller를 적용한 연료전지시스템의 유량제어에 관한 논문이다. 그리고 이 연구에서 사용된 시스템은 1kW급 계통연계 연료전지 시스템이다. 이 연료전지 시스템이 안정적으로 전원을 공급할 수 있도록 시스템에서 요구하는 공기 유량을 정확히 공급하도록 제어하는 것이 본 연구의 목적이다. 이 목적을 이루기 위해 공기 공급 장치에 PID 제어기를 설계하여 적용하였다. PID 제어기의 Gain값은 지글러 니콜스 Tuning 방식으로 정하였다. 이 제어기를 적용하여 실험한 결과, 적용 전 상태와 비교하면 맥동이 30% 저감하였고, 정상상태 오차가 제거되어 온도 변화와 같은 외란과 상관없이 정확한 요구 공기 유량을 공급함을 확인할 수 있었다. 그리고 부하가 변동함에 따라 해당 요구 공기 유량이 바뀔 때 1초 내에 그 요구 공기 유량을 추종하여 스택이 안정적으로 운전될 수 있도록 하였다.

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Error elimination for systems with periodic disturbances using adaptive neural-network technique (주기적 외란을 수반하는 시스템의 적응 신경망 회로 기법에 의한 오차 제거)

  • Kim, Han-Joong;Park, Jong-Koo
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.8
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    • pp.898-906
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    • 1999
  • A control structure is introduced for the purpose of rejecting periodic (or repetitive) disturbances on a tracking system. The objective of the proposed structure is to drive the output of the system to the reference input that will result in perfect following without any changing the inner configuration of the system. The structure includes an adaptation block which learns the dynamics of the periodic disturbance and forces the interferences, caused by disturbances, on the output of the system to be reduced. Since the control structure acquires the dynamics of the disturbance by on-line adaptation, it is possible to generate control signals that reject any slowly varying time-periodic disturbance provided that its amplitude is bounded. The artificial neural network is adopted as the adaptation block. The adaptation is done at an on-line process. For this , the real-time recurrent learning (RTRL) algoritnm is applied to the training of the artificial neural network.

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