• 제목/요약/키워드: PID parameter tuning

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PPGA에 기초한 디지털 PID 제어기의 최적 동조 (PPGA-Based Optimal Tuning of a Digital PID Controller)

  • 신명호;김민정;이윤형;소명옥;진강규
    • 한국마린엔지니어링학회:학술대회논문집
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    • 한국마린엔지니어링학회 2005년도 전기학술대회논문집
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    • pp.314-320
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    • 2005
  • In this paper, a methodology for estimating the parameters of a discrete-time system and designing a digital PID controller based on the estimated model and a genetic algorithm is presented. To deal with optimization problems occurring regarding parameter estimation and controller design, a pseudo parallel genetic algorithm (PPGA) is used. The parameters of a discrete-time system are estimated using both the model technique and a PPGA. The digital PID controller is described by the pulse transfer function and its parameters are tuned based on both the model reference technique and another PPGA. A set of experimental works on two processes are carried out to illustrate the performance of the proposed method.

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Design of a New 2-DOF PID Controller for Gun-san Gas Turbine Generation Plant

  • Kim, Dong-Hwa
    • Journal of KIEE
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    • 제10권1호
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    • pp.16-22
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    • 2000
  • The Main role of the gas turbine lies in the utilization of waste heat which may be found in exhaust gases from the gas turbine or at some other points of the process to produce additional electricity. Up to date, the PID controller has been used to operate under such difficult conditions, but since the gain of PID controller manually experience. In this paper parameter separation type 2-DOF PID controllers are proposed based on the gas turbine control system. Gas turbine transfer function is achieved from operation data of Gun-san gas turbine and Tuning algorithms of parameter separation type 2-DOF PID controller is ANFIS. Results represents satisfactory response.

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유전프로그래밍에 의한 겐트리 크레인의 최적제어에 관한 연구 (Optimal Control of Gantry Crane Using Genetic Programming)

  • 이영진;배종일;이권순
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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    • pp.153-158
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    • 1998
  • In this paper, we present a design of optimal 2-DOF PID controller for control of gantry crane which has to control swing motion and trolley position. For tuning the parameter of 2-DOF PID controller, we used evolution strategy(ES). During operate the crane system in yard, the goal is transporting the load to a goal position as quick as possible without rope oscillation. The crane is generally operated by an expert operator, but recently an automatic control system with high speed and rapid transportation is required. However, we developed an optimal controller which has to control the crane system with disturbance.

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릴레이 궤환을 이용한 자동동조 PID 제어기의 GUI-Program 개발과 수위온도제어 플랜트에의 실시간 적용 (Development of GUI-program for Auto-tuning PID controller using relay feedback and Application of level-temperature plant)

  • 유병철;한진욱;이창구
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.609-611
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    • 1999
  • The purpose of this research is on figuring out the optimal PID parameter using critical gain and critical frequency that are obtained by relay feedback. The operating has been done under the condition that the least information about the object plant is given and also the operating is processed within the limit which dose not give rise to bad influence on the object plant. For simulation auto-tuning PID controller using relay feedback which also works on on-line at the same time is developed by the upper procedure. This algorithm is tried to apply to level-temperature control plant on a real time with PC Interface Card.

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Rhino XR-2 로보트의 퍼지 혼성 제어 (Fuzzy Hybrid Control of Rhino XR-2 Robot)

  • 변대열;성홍석;이쾌희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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    • pp.299-303
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    • 1993
  • There can be two methods in control systems: one is to use a linear controller, the other is to use a nonlinear controller. The PID controller and the fuzzy controller can be said to belong the linear and the nonlinear controller respectively. In this paper, a new hybrid controller which is consist of the linear PID controller of which the gain is tuned and the nonlinear self tuning fuzzy controller is proposed. In the PID controller, an algorithm which parameterizes the proportional, the intergral, and the derivative gain as a single parameter is used to improve the performance of the PID controller. In the self tuning fuzzy controller, an algorithm which changes the shape of the triangle membership function and changes the scaling factor which is multiplied to the error and the error change. The evaluation of the performance of the suggested algorithm is carried on by the simulation for the Rhino XH-2 robot manipulator with 5 links revolute joints.

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개선된 Ziegler-Nichols 동조에 의한 규칙기반 PID제어기 설계 (Rule-based controller by Modified Ziegler-Nichols tuning)

  • 이원혁;최정내;김진권;황형수
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 B
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    • pp.775-777
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    • 1998
  • The Ziegler-Nichols parameter tuning has been widely known as a fairly heuristic method to good determine setting of PID controllers, for a wide range of common industrial processes. We extract process knowledge required for rule base controller through tuning experiment and simulation study, such as set point weighting and normalised gain and dead time of process. In this paper, we presents a rule base PID controller by extracted process knowledge and the modified Ziegler-Nichols tuning. Computer simulation are provided demonstrate the feasibility of this approach.

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A DC Motor Speed Control by Selection of PID Parameter using Genetic Algorithm

  • Yoo, Heui-Han;Lee, Yun-Hyung
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권3호
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    • pp.293-300
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    • 2007
  • The aim of this paper is to design a speed controller of a DC motor by selection of a PID parameters using genetic algorithm. The model of a DC motor is considered as a typical non-oscillatory, second-order system, And this paper compares three kinds of tuning methods of parameter for PID controller. One is the controller design by the genetic algorithm. second is the controller design by the model matching method third is the controller design by Ziegler and Nichols method. It was found that the proposed PID parameters adjustment by the genetic algorithm is better than the Ziegler & Nickels' method. And also found that the results of the method by the genetic algorithm is nearly same as the model matching method which is analytical method. The proposed method could be applied to the higher order system which is not easy to use the model matching method.

이득 설계가 간단한 선형전동기 구동용 고성능 통합 PID 위치제어기 구현 제2부: 이득설계 및 응용 (Implementation of the High Performance Unified PID Position Controller for Linear Motor Drive with Easy Gain Ajustment Part II - Gain Adjustment & Application)

  • 김준석
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제51권4호
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    • pp.195-202
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    • 2002
  • The high performance position controller named 'Unified PID Position Controller'is presented in part 1 of this paper. In part 2, we provide smart gain adjustment methods including the freedom utilizations for rare sensitivity toward the system parameter variation and for increasing the stiffness of the system. Owing to the provided gain tuning strategy, the overall system characteristics can be stabilized without over-shoot phenomena when the system parameter is changed in the rate of from 0.5 to 2∼4. Moreover, for the actual feasibility to the industrial fields, a simple butt effective anti-windup strategy prohibiting the integral component of the PID position controller from saturation is presented too. All of the presented algorithms are verified through the experiment works with commercial linear motor.

블록형 최적화 기법에 의한 LQ-PID제어기의 오버슈트 설계방법 (Overshoot design method of LQ-PID controller using convex optimization)

  • 김대황;서병설
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.96-99
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    • 2002
  • This paper proposes a method to select the overshoot design parameters of the LQ-PID controller by using convex optimization in order to satisfy the design specifications. The tuning parameters of LQ-PID controller are determinated by the relationships between the design parameter to control both the overshoot and the settling time and the weighting factors Q and R in LQR.

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PSO-PID를 이용한 시소 시스템의 위치제어 (A Position Control of Seesaw System using Particle Swarm Optimization - PID Controller)

  • 손용두;손준익;추연규;임영도
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2009년도 춘계학술대회
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    • pp.185-188
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    • 2009
  • 이 논문에서는 PID 알고리즘을 이용하여 시소 시스템의 균형을 위한 위치 제어기를 설계하고자 한다. 시소 시스템은(Seesaw System) 선박 및 항공 역학, 도립진자, 각종 분석, 로봇 시스템 등의 해석에 광범위하게 응용되는 시스템이자 현대 제어 시스템의 이론과 각종 응용문제를 취급할 수 있는 장치이다. 시소 시스템의 경우 시스템이 비선형성이 강한 제어 대상이므로 시스템의 이해와 해석, 그리고 파라미터의 정확한 선정이 필수요소이다. 사용할 시스템 제어 알고리즘에는 간단하고 오랜 역사를 통해 안정성이 보장된 PID 알고리즘과 정확하고 빠른 PID 파라미터 동조에 필요한 연산 최적화 알고리즘인 PSO(Particle Swarm Optimization) 통해 외란이나 제어기의 변화에 빠르게 적응할 수 있도록 하여 성능과 안정성을 보장한다.

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