• Title, Summary, Keyword: PID Control(PID 제어)

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A FUZZY PID Control of Supply Duct Outlet Air Temperature for PEM (FUZZY PID 방법을 이용한 개별 공조시스템의 급기온도 제어)

  • 장영준;박영철;정광섭;한화택;이정재
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.14 no.4
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    • pp.278-284
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    • 2002
  • The work presented here provides a control of the supply duct outlet air temperature in PEM (personal environment module) using fuzzy PID controller. In previous work, PID control systems were used, but the result shows that the outlet air temperature and electric heater regulating voltage were oscillated. Fuzzy PID control systems are designed to improve the system response obtained using PID control and implemented experimentally Also, PID controller and fuzzy controller without PID logic are provided to compare the result with that of the fuzzy PID controller. Data obtained shows that the fuzzy PID control system satisfies the design criteria and works proper1y in controlling the supply air temperature. Also it has bettor performance than the previous result obtained using PID control.

Formation Control of Mobile Robots using Adaptive PID Controller (적응 PID 제어기를 이용한 이동로봇의 군집제어)

  • Park, Jin-Hyun;Choi, Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.11
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    • pp.2554-2561
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    • 2015
  • In this paper, we strengthen the advantages of a simple PID controller as a study on the formation control of mobile robots and propose an adaptive PID controller with robust performance at the dynamics characteristics of following robot. Simulation studies show that the adaptive PID controller has better keeping constant distance and angle such as tracking performance of following robot for the formation control than a conventional PID controller. This is the proposed adaptive PID controller to change the gains is found to represent the best performance. This is able to verify that the performance of the proposed adaptive PID controller is excellent.

PID Control Structure for Model Following Control (모델 추종 제어를 위한 PID 제어기법)

  • 이창호;김종진;하홍곤
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.2
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    • pp.138-142
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    • 2004
  • This paper proposes the design of the model following control system using the PID control structure. PID control system became model following control by inserting new pre-compensator in order to improve control performance in discrete-time region. Gain of the PID controller needs to be readjusted when response of system changes due to disturbance or load fluctuation. Performance of control system improves by joining neural network to PID control system because performance of control system depends largely on each PID gain in PID control system. And the games of the PID controller in the proposed control system are automatically adjusted by back-propagation algorithm of the neural network. Angular position of DC servo motor is selected as a plant in order to verify control performance in model following control. After it is applied to the position control system, it's performance is verified through computer experiment.

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Design of PID-Expert hybrid Controllers (PID-전문가 복합형 제어기 설계)

  • Cho, Hyun-Seob
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.3
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    • pp.103-108
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    • 2009
  • Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. In this paper, PID-Expert hybrid control method for motor control system as a compensation method solving this problem is presented. If PID control system is stable, the Expert controller is idle. if the error hits the boundary of the constraint, the Expert controller begins operation to force the error back to the constraint set. The disturbance effect decrease remarkably, robust speed control of DC motor using PID-Expert Hybrid controller is demonstrated by the simulation.

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The Speed Control of a DC Servo Motor by the PID Self Tuning Control Method (PID-자기동조 제어방식에 의한 DC 서보 전동기의 속도제어)

  • Cho, Hyun-Seob;Ku, Gi-Jun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.9 no.6
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    • pp.1560-1564
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    • 2008
  • Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control system. In this paper, PID-Self Tuning control method for motor control system as a compensation method solving this problem is presented. If the PID control system is stable in the sense that the error is inside the constraint set, the supervisory control is idle. If the error hits the boundary of the constraint, the supervisory controller begins operation to force the error back to the constraint set. We prove that the PID-Self Tuning control system is globally stable in the sense that the error is guaranteed to be within the tolerance limits specified by the system designer.

Fuzzy PID Controller Design for Tracking Control (퍼지PID제어를 이용한 추종 제어기 설계)

  • 김봉주;정정주
    • 제어로봇시스템학회:학술대회논문집
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    • pp.68-68
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    • 2000
  • This paper presents a fuzzy modified PID controller that uses linear fuzzy inference method. In this structure, the proportional and derivative gains vary with the output of the system under control. 2-input PD type fuzzy controller is designed to obtain the varying gains. The proposed fuzzy PID structure maintains the same performance as the general-purpose linear PID controller, and enhances the tracking performance over a wide range of input. Numerical simulations and experimental results show the effectiveness of the fuzzy PID controller in comparison with the conventional PID controller.

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Application of Neural Network Precompensated PID Controller for Load Frequency Control of Power Systems (전력계통의 부하주파수 제어를 위한 신경회로망 전 보상 PID 제어기 적용)

  • 김상효
    • Journal of Advanced Marine Engineering and Technology
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    • v.23 no.4
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    • pp.480-487
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    • 1999
  • In this paper we propose a neural network precompensated PID(NNP PID) controller for load frequency control of 2-area power system. While proportional integral derivative(PID) controllers are used in power system they have many problems because of high nonlinearities of the power system So a neural network-based precompensation scheme is adopted into a conventional PID controller to obtain a robust control to the nonlinearities. The applied neural network precompen-sator uses an error back-propagation learning algorithm having error and change of error as inputand considers the changing component of forward term of weighting factor for reducing of learning time. Simulation results show that the proposed control technique is superior to a conventional PID controller and an optimal controller in dynamic responses about load disturbances. The pro-posed technique can be easily implemented by adding a neural network precompensator to an existing PID controller.

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DC MOTOR SPEED CONTROL USING PID CONTROLLER

  • Loucif, Fatiha
    • 제어로봇시스템학회:학술대회논문집
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    • pp.2557-2561
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    • 2005
  • The PID controller design and choosing PID parameters according to system response are proposed in this paper. Here PID controller is employed to control DC motor speed and Matlab program is used for calculation and simulation. Choosing PID parameters are demonstrated by several contrast experiments and a way for setting PID parameters values is discussed.

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Nonlinear Hydraulic System Control Using Fuzzy PID Control Technique (퍼지 PID 제어 기법을 이용한 비선형 유압시스템의 제어)

  • 박장호;김종화;류기석
    • 제어로봇시스템학회:학술대회논문집
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    • pp.69-69
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    • 2000
  • Control systems using a hydraulic cylinder as an actuator are modeled to a nonlinear system owing to varying of moments and nonlinearities of hydraulic itself. In this paper, we want to control nonlinear hydraulic systems by adopting the fuzzy PID control technique which include nonlinear time varying control parameters. To do this, we propose the design method of fuzzy Pm controller and in order to assure effectiveness of fuzzy PID controller, computer simulations were executed for the control system.

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Robust speed control of DC motor using PID-Expert Hybrid controller (PID-전문가 복합형 제어기를 이용한 직류전동기의 강인한 속도제어)

  • Cho, Hyeon-seob;Oh, Hun;Kim, Hee-Suk;Park, Min-Gyu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.14 no.5
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    • pp.56-61
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    • 2000
  • Robust control for DC motor is needed according to the highest precision of industrial automation. However, when a motor control system with PID controller has an effect of load disturbance, it is very difficult to guarantee the robustness of control systems.In this paper, PID-Expert hybrid control method for motor control system as a compensation method solving this problem is presented. If PID control system is stable, the Expert controller is idle. if the error hits the boundary of the constraint, the Expert controller begins operation to force the error back to the constraint set. The disturbance effect decrease remarkably, robust speed control of DC motor using PID-Expert Hybrid controller is demonstrated by the simulation.

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