• Title/Summary/Keyword: 비례-미분 제어

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Design of PID Controller using Immune Algorithm for AC-DC Power System (교류-직류시스템의 안정화를 위한 면역알고리즘을 이용한 최적 PID 제어기 설계)

  • 정현화;허동렬;이정필;정형환
    • Proceedings of the Korean Society of Marine Engineers Conference
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    • 2001.05a
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    • pp.225-230
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    • 2001
  • In this paper, a method for optimal design of PID controller using the immune algorithm(IA) has been proposed to improve the stability of A.C.-D.C. power system. The process of this study is composed of formulation of basic controls on HVDC transmission system, mathematical model preparation for stability analysis, and supplementary signal control by an optimal PID controller using the IA. The dynamic property was verified through computer simulations regarding transient stability.

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Control Progress of 6-DOF Robot using Adaptive Control (적응제어를 이용한 6자유도 로봇의 제어향상을 위한 연구)

  • 김병수;김규로;이순걸
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.05a
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    • pp.574-577
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    • 2000
  • The purpose of robot manipulator control is to make for manipulator take a trace of pre-planned trajectory. In this study, the algorithm of MRAC(Model Reference Adaptive Control) on reference to adaptive control theory was studied. The experiments were performed on 6-DOF robot manipulator with respect to p-d(proportional-differential) controller and adaptive controller. The property of adaptive control was studied and its efficiency proved by being compared to p-d controller.

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An Adaptive Speed Control of a Diesel Engine by means of a Model Matching method and the Nominal Model Tracking Method (모델 매칭법과 규범모델 추종방식에 의한 디젤기관의 적응속도제어)

  • 유희한;소명옥;박재식
    • Journal of Advanced Marine Engineering and Technology
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    • v.27 no.5
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    • pp.609-616
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    • 2003
  • The purpose of this study is to design the adaptive speed control system of a marine diesel engine by combining the Model Matching Method and the Nominal Model Tracking Method. The authors proposed already a new method to determine efficiently the PID control Parameters by the Model Matching Method. typically taking a marine diesel engine as a non-oscillatory second-order system. But. actually it is very difficult to find out the exact model of a diesel engine. Therefore, when diesel engine model and actual diesel engine are unmatched as an another approach to promote the speed control characteristics of a marine diesel engine, this paper Proposes a Model Reference Adaptive Speed Control system of a diesel engine, in which PID control system for the model of a diesel engine is adopted as the nominal model and Fuzzy controller and derivative operator are adopted as the adaptive controller.

The Design of the Controller for Bio-wrap Winding Machine using Muti-variable Decentralized Control Technique (다중 변수 분산 제어기법을 이용한 생분해성 랩 와인딩 기계의 제어기 설계)

  • Kim H.S.;Park W.C.;Shen Y.D.;Yang S.M.;Kee C.D.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1450-1454
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    • 2005
  • In this paper, the control strategy of the tension and speed based a prototype bio-wrap winding machine is developed. The decentralized control strategy using PID control algorithm applied for each subsystem is proposed to control the each system's desired outputs, because the tension of each subsystem effects that of next roll system. The computer simulations and the experiment results are presented to show that the proposed control scheme is feasible for a prototype bio-wrap winding machine.

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Temperature Control for an Oil Cooler System Using PID Control with Fuzzy Logic (퍼지 적용 PID제어를 이용한 오일쿨러 시스템의 온도제어)

  • 김순철;홍대선;정원지
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.13 no.4
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    • pp.87-94
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    • 2004
  • Recently, technical trend in machine tools is focused on enhancing of speed, accuracy and reliability. The high speed usually results in thermal displacement and structural deformation. To minimize the thermal effect, precision machine tools adopt a high precision cooling system. This study proposes a temperature control for an oil cooler system using Pill control with fuzzy logic. In the cooler system, refrigerant flow rate is controlled by rotational speed of a compressor, and outlet oil temperature is selected as the control variable. The fuzzy control rules iteratively correct PID parameters to minimize the error and difference between the outlet temperature and the reference temperature. Here, ambient temperature is used as the reference one. To show the effectiveness of the proposed method, a series of experiments are conducted for an oil cooler system of machine tools, and the results are compared with the ones of a conventional Pill control. The experimental results show that the proposed method has advantages of faster response and smaller overshoot.

Speed Control of a Diesel Engine Generator by a Electric Governor (전기식 조속기를 이용한 디젤 엔진 발전기의 속도 제어)

  • Lee, Seung-Hwan;Lee, Joon-Hwan;Sul, Seung-Ki
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.452-454
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    • 2008
  • 본 논문에서는 실험적으로 구한 엔진 토크 참조 표를 이용하여 엔진의 비선형 모델을 구하고 이를 각각의 운전 점에 대해 선형화한 엔진 모델을 제시하였다. 이러한 선형화된 엔진 모델을 이용하여, 전기식 조속기를 사용한 디젤 엔진의 속도 제어에 있어 발생하는 안정성 문제를 해석하였다. 제시한 디젤 엔진 모델을 이용하여 속도제어기의 비례, 적분 미분 이득을 설정하고 이 값을 바탕으로 모의실험 및 실험을 통하여 제시한 모델의 타당성을 검증 하였다.

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PDA/FLC Depth control system design for underwater vehicles (수중운동체를 위한 PDA/FLC 심도 제어시스템 설계)

  • Kim, J.S.;Park, J.L.;Kim, S.M.
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.5
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    • pp.25-32
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    • 1994
  • A nonlinear control algorithm for the depth control of underwater vehicles is presented. In order to consider the deadzone effect of the flow control valve, a nonlinear fuzzy logic controller (FLC) is synthesized and combined with a linear proportional-derivative-acceleration (PDA) controller, which is called the PDA/FLC controller. And to show the effectiveness of the PDA/FLC control system, it is compared with the linear PDA control system through computer simulation. It is found that the PDA/FLC control system is suitable one to maintain the desirable depth of underwater vehicles with deadzone.

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Optimal Neural Network Controller Design using Jacobian (자코비안을 이용한 최적의 신경망 제어기 설계)

  • 임윤규;정병묵;조지승
    • Journal of the Korean Society for Precision Engineering
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    • v.20 no.2
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    • pp.85-93
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    • 2003
  • Generally, it is very difficult to get a modeling equation because multi-variable system has coupling relations between its inputs and outputs. To design an optimal controller without the modeling equation, this paper proposes a neural-network (NN) controller being learned by Jacobian matrix. Another major characteristic is that the controller consists of two separated NN controllers, namely, proportional control part and derivative control part. Simulation results for a catamaran system show that the proposed NN controller is superior to LQR in the regulation and tracking problems.

Design of Stable Controller to Sudden A/C Disturbance (급격한 에어콘 외란에 안정한 제어기 설계)

  • 이영춘;권대규;이성철
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.7
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    • pp.106-112
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    • 2000
  • The purpose of this paper is to study on the control of the engine idle speed under sudden A/C load which is one of the most severe disturbances on engines. Three types of the closed-loop controller are developed for the stable engine idle speed control. The input of the controller is an error of rpm. The output of the controller is an ISCV duty cycle. The anticipation delay is considered to deal with the delay time of the air mass in engine. The PID, Fuzzy and PID-type Fuzzy controllers with the anticipation delay have improved the engine idle speed condition more than current ECU map table under the A/C load.

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A Study on the Automatic Operation Performance Control of Urban Rail Vehicle Using an Optimal Control (최적제어를 이용한 도시철도 차량 자동주행 제어 연구)

  • Tak, Kil-Hun;Kim, Dong-Hwan;Kim, Chi-Tae
    • Transactions of the Korean Society of Automotive Engineers
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    • v.15 no.1
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    • pp.29-37
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    • 2007
  • In the automatic operation of an urban rail vehicle, a conventional PID control algorithm is applied to run the vehicle between stations within time limit and jerk limit. But the energy consumption in the automatic operation is much higher than in the manual operation. In this study, the optimal control algorithm for automatic operation is proposed to minimize energy consumption, which satisfies automatic operation for the urban rail vehicle, compared with the conventional PID control algorithm.