• Title/Summary/Keyword: PID제어

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A Position control of Ball-Beam using CDM (CDM을 이용한 Ball-Beam 위치제어)

  • 정지연;추연규;임영도
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.139-142
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    • 2002
  • 제어 시스템에서 제어기를 설계하는 방법에는 기존 PID 설계 기법인 Ziegler-Nichols와 Jung, R. C. Dorf 방법들이 있다. 본 논문은 Shunji Manabe의 계수도법(CDM Coefficient Diagram Method)을 이용하여 Ball-Beam 시스템을 제어하기 위한 PID 제어기를 설계한다. PID 제어기의 각 파라메터인 P, I, D 계수는 시스템의 속도와 안정성에 기인하는 표준 안정도 지수$(\gamma)$와 등가시정수$(\tau)$ 로부터 얻 어진다. 등가시정수$(\tau)$와 안정도 지수$(\gamma)$는 제어기 파라메터의 대수적 형태와 절대적인 관계가 있다. 그러므로 설계된 제어기로부터 빠른 상승시간과 안정된 정상상태 응답을 얻을 수 있다. Ball-Beam 시스템에 CDM 제어기를 적용한 결과 시스템의 안정도, 정확성 그리고 강인성에 있어서 퍼지 제어기나 PID 제어기에 비해 뛰어난 응답 특성을 확인하였다

Embedded Hardware Implementation of an FPGA Based Nonlinear PID Controller for the ROBOKER Arm (ROBOKER 팔의 제어를 위한 FPGA 기반 비선형 제어기의 임베디드 하드웨어 구현)

  • Kim, Jeong-Seob;Jeon, Hyo-Won;Jung, Seul
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.12
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    • pp.1153-1159
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    • 2007
  • This paper presents the hardware implementation of nonlinear PID controllers for the ROBOKER humanoid robot arms. To design the nonlinear PID controller on an FPGA chip, nonlinear functions as well as the conventional PID control algorithm have to be implemented by the hardware description language. Therefore, nonlinear functions such as trigonometric or exponential functions are designed on an FPGA chip. Simulation studies of the position control of humanoid arms are conducted and results are compared. Superior performances by the nonlinear PID controllers are confirmed when disturbances are present. Experiments of humanoid robot arm control tasks are conducted to confirm the performance of our hardware design and the simulation results.

A study on the non-standard PID control for electro-hydraulic servo system (전기 유압 서어보 시스템의 비표준 PID 제어에 관한 연구)

  • Lee, Yong-Joo;Song, Chang-Seop
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.11
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    • pp.25-33
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    • 1997
  • This study deals with controlling the velocity of Electr-Hydraulic servo system through the non-stan-dard PIC control. This was done as follows. First, we modeled nonlinearised model and linearised model, second designed analytic program for electro-hydraulic servo system velocity control Lastly, to im- prove dynamic characteristics of system we designed non-standard PID contoller and verifed throughth experi- ment and MATLAB program, commercial used software.

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A Study on the PID Order tuning by GAs for Velocity Control of DC Servo Motor (DC 서보모터의 속도제어를 위한 GAs의 PID 계수조정에 관한 연구)

  • Park Jae-Hyung;Kim Seong-Kon;Lee Sang-kwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.8
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    • pp.1840-1846
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    • 2005
  • In this paper, does by purpose DC servo motor speed controller design about PID coefficient tuning techniques that use genetic algerian. DC servo motor is used in application field of a peat many control machine or robot etc. and in this field, selection of controller parameters requires user's expert knowledge. Therefore, general amount of work engineers must continuously iteration tuning in controller parameters by trial and error. With this, when must tuning parameter coefficient about change of dynamic system or disturbance, can improve the efficiency according to following that is more precised and parameter coefficient value that is optimized by using genetic algorithm. In this paper, from dynamic character modeling get in analyze dynamic character of DC motor desist controller drive control possible that is fast response character md improved speed precision using a Genetic Algorithms.

A study on the PID adaptive position controller using GMDP Neural Network (GMDP 신경망을 이용한 PID 적응 위치 제어기에 관한연구)

  • 추연규;임영도
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1995.10b
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    • pp.258-263
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    • 1995
  • 본 논문은 일반화된 다중 수상돌기 적 (GMDP : Generalized Multi Dendrite Product) 유닛트 신경망을 이용한 PID 적응 위치제어기를 구성하여 직류 서어보 전동기의 위치제어를 실시간 처리 하였다. 제안한 제어기를 위치제어에 적용시켜 실험한 결과 기존의 MLP 신경망 제어기를 이용한 것 보다도 샘플시간을 줄일 수 있다는 장점으로 정밀한 제어 가 가능하다는 것을 확인할 수 있었다. 학습규칙은 기존의 역전파 학습방법이 GMDP 신경 회로망에 적용되었다.

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A Study on the Accurate Stopping Control of a Train for the Urban Rail Transit Using Kalman Filter (칼만 필터를 이용한 도시철도 열차 정위치 정차에 관한 연구)

  • Kim, Jungtai;Lee, Jaeho;Kim, Moo Sun;Park, Chul Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.655-662
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    • 2016
  • Accurate stopping control is important for trains, especially now that many train stations are equipped with platform screen doors. Various algorithms have been proposed for accurate stopping control. However, most metro trains in South Korea use classic control algorithms such as PID control because other algorithms are too complex to realize. PID control has merits of simple structure and operation. However, PID control sometimes fails, and much time is needed to find the proper coefficients due to the long control period and the brake delay. We propose a control algorithm that uses a Kalman filter. The Kalman filter estimates the states at the time when braking starts. Then, a suitable control input is derived for proper control. System modeling and a computer simulation were performed with consideration of the brake properties and the period of the control system. The superiority of the proposed control algorithm is shown by analyzing stop errors.

A Method of Tuning Optimization for PID Controller in Nuclear Power Plants (원자력발전소 PID 공정제어기에 대한 튜닝 최적화 방법)

  • Sung, Chan Ho;Min, Moon Gi
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.10 no.1
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    • pp.1-6
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    • 2014
  • PID(Proportional, Integral, Derivative) controller is one of the most used process controllers in nuclear power plants. The optimized parameter setting of process controller contributes to the stable operation and efficiency in the operating nuclear power plants. PID parameter setting is tuned when new process control system is established or process control system is changed. It is a burdensome work for I&C(Instrument and Control) engineers to tune the PID controller because it requires a lot of experience and knowledge. When the plant is in operation, inadequate PID parameter setting can be the cause of the unstable process of the plant. Therefore the results of PID parameter setting should be compared, simulated, verified and finally optimized. The practical PID tuning methods used in process controller are tuning operation calculation(Ziegler-Nicholes, Minimum TIAE, Lambda, IMC), exclusive tuning program based on computer and Matlab application. This paper introduces the various tuning methods and suggests an optimized PID tuning process in the operating nuclear power plants.

A Study on PID Gain Auto Tuning for Steering Type mobile robot (조향형 이동로봇을 위한 PID 이득 자동 튜닝에 관한 연구)

  • Jung, Se-Young;Yang, Tae-Kyu
    • Journal of Satellite, Information and Communications
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    • v.11 no.4
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    • pp.39-43
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    • 2016
  • In this paper, we propose PID gain auto tuning method in steering type mobile robot. PID controller gain select method are various methods. Ziegler-Nichols step tuning method is one method tuning in PID controller. Use step tuning method find a the first gain and did experiment in steering mobile robot. and Make a new the second gains from the first gains. After appling the second gain in PID controller, Where perform observe for convergence time and stabilization error. Experiments result the second gain are useful in real steering mobile robot system.

Digital implementation of PID autotuner (PID 자동동조기의 디지틀 구현)

  • 이상정;김인중;홍석민
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.311-316
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    • 1991
  • This paper deals with designing the PID autotuner. The system parameters are identified using the relay control, where the unidirectional relay with hysteresis is adopted. The digital PID tuning rule on Nyquist plot is derived, and the statistical wordlength is adopted for the coefficient wordlength. The experimental results of temperature control exhibit the satisfactory performance and the validity of the derived statistical wordlength.

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