• Title/Summary/Keyword: PID 이득

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An Adaptive PID Controller Design based on a Gradient Descent Learning (경사 감소 학습에 기초한 적응 PID 제어기 설계)

  • Park Jin-Hyun;Kim Hyun-Duck;Choi Young-Kiu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.2
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    • pp.276-282
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    • 2006
  • PID controller has been widely used in industry. Because it has a simple structure and robustness to modeling error. But it is difficult to have uniformly good control performance in system parameters variation or different velocity command. In this paper, we propose an adaptive PID controller based on a gradient descent learning. This algorithm has a simple structure like conventional PID controller and a robustness to system parameters variation and different velocity command. To verify performances of the proposed adaptive PID controller, the speed control of nonlinear DC motor is performed. The simulation results show that the proposed control systems are effective in tracking a command velocity under system parameters variation.

D.C. Motor Speed Control by Learning Gain Regulator (학습이득 조절기에 의한 직류 모터 속도제어)

  • Park, Wal-Seo;Lee, Sung-Su;Kim, Yong-Wook
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.19 no.6
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    • pp.82-86
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    • 2005
  • PID controller is widely used as automatic equipment for industry. However when a system has various characters of intermittence or continuance, a new parameter decision for accurate control is a bud task. As a method of solving this problem, in this paper, a teaming gain regulator as PID controller functions is presented. A propriety teaming gain of system is decided by a rule of Delta learning. The function of proposed loaming gain regulator is verified by simulation results of DC motor.

PID Autotuning Algorithm with an Asymmetric Self-oscillation (비대칭 자기 진동에 대한 PID 자동동조 알고리듬)

  • Oh, Seung-Rohk
    • Journal of IKEEE
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    • v.6 no.2 s.11
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    • pp.128-135
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    • 2002
  • We use the saturation nonlinear feedback element to generate self-oscillation in order to find an ultimate gain and period of linear plant. The use of saturation nonlinear feedback element can improve accuracy of an ultimate gain and period of unknown linear plant. An ultimate gain and period of linear plant can be used to tune a PID controller parameters. It is possible that an asymmetric oscillation can be occurred under the special circumstances such as with static load disturbance. We analyze an asymmetric self-oscillation. As the results of an analysis, we propose a method to find an ultimate gain and period of linear Plant under the asymmetric self-oscillation.

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A controller Design using Immune Feedback Mechanism (인체 면역 피드백 메카니즘을 활용한 제어기 설계)

  • Park, Jin-Hyun;Kim, Hyun-Duck;Choi, Young-Kiu
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.2
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    • pp.701-704
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    • 2005
  • PID controllers, which have been widely used in industry, have a simple structure and robustness to modeling error. But They are difficult to have uniformly good control performance in system parameters variation or different velocity command. In this paper, we propose a nonlinear adaptive PID controller based on a cell-mediated immune response and a gradient descent learning. This algorithm has a simple structure and robustness to system parameters variation. To verify performances of the proposed nonlinear adaptive PID controller, the speed control of nonlinear DC motor is performed. The simulation results show that the proposed control systems are effective in tracking a command velocity under system parameters variation.

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A Study on the Auto Tuning of Hybrid Type Fuzzy PID Controller (복합성 퍼지-PID 제어기의 자동동조에 관한 연구)

  • 이상석;김중기;배진호
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.10 no.1
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    • pp.40-45
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    • 1996
  • 본 연구는 공정제어를 위한 복합형 퍼지-PID 제어기의 개발에 관한 것이다. 제안된 복합형 퍼지-PID제어기는 퍼지 규칙을 기반으로 한 이득 결정부분({{{{ { K}_{p } { K}_{d } }}}})과 고정이득({{{{ { K}_{i } }}}})을 합친 제어기이다. 모의 실험 결과 제안된 제어기는 고정된 파라메터를 갖는 전통 PID 제어기에 비해 더욱 양호한 제어성능을 나타내었다.

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Fuzzy Tunned PID Controller Using Error And Error rate of Plant Output (공정출력의 오차 및 오차 변화율을 이용한 퍼지 동조 PID 제어기)

  • 최정내;이원혁;김진권;황형수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1998.10a
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    • pp.166-172
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    • 1998
  • PD 제어기는 산업현장에 가장 널리 운영되는 제어알고리즘이지만 지금까지 보편적으로 사용되고 있는 PID 파라메터 동조방법인 Ziegler-Nichols 동조법으로는 화학공정 같은 비선형 특성이 크거나, 시정수가 큰 플래트에서는 좋은 성능을 얻을 수 없다. 본 논문에서는 릴레이 동조 실험을 통하여 임계 이득과 발진주기를 구하고, 이 값들로부터 Z-N 동조법을 적용하여 초기 동조값을 구한다. 이 값에 의해서 얻어진 공정 출력의 오차와 오차변화율을 입력으로 한 퍼지 동조기를 통하여 PID 제어기의 비례이득과 적분시간을 구하는 동조 방법을 제시한다.

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Fuzzy-PID Gain Scheduling Algorithm of Resistive Welder for Electronic Parts (전자부품용 저항용접기의 퍼지-PID 이득조정 알고리즘)

  • Park, Myung-Kwan;Lee, Jong-Woon
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.114-116
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    • 2004
  • The temperature profile control issue in the resistive welder for the electronic parts is discussed. The average current of the welder tip depends on the phase(on-time) of the AC power and the tip temperature maintains or increases/decreases depending on the integral of the current square and heat loss, The basic PID control algorithm with thermo-couple feedback is difficult to track the temperature profile for various parts and optimal gain changes much. So constant gain PID algorithm is not enough to cover various electronic parts welding and a Fuzzy-PID automatic gain tuning algorithm is devised and added to conventional PID algorithm and this hybrid control architecture is implemented and the experimental results are shown.

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Fuzzy Scheduling for the PID Gain Tuning (PID 이득 동조를 위한 퍼지 스케줄링)

  • Shin Wee-Jae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.1
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    • pp.120-125
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    • 2005
  • In this paper, We propose the fuzzy controller for the gain tuning of PID controller The proposed controller doesn't use the crisp output error and rule tables though with a fuzzy inference process in forward fuzzifier, New Fuzzy PID Controller assigns relations and ranges of two variables of PID gain parameters. These new gain parameters are calculated by the fuzzy inference with max-min ranges of Kp and Kd. The Ki parameter is computed automatically between Kp and Kd parameter Is calculated by Ziegler-Nickels tuning rules. Finally we experimented the propose controller by the hydraulic servo motor control system. We can obtained desired results through the good control characteristics.

Variable-Gain PID Control of Longitudinal Tension in Web Transport System (연속공정 시스템에서의 장력의 가변이득 PID 제어)

  • 신기현
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.19 no.3
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    • pp.724-730
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    • 1995
  • Fixed-gain and variable-gain PID control of tension in the winding section of a simple web transport system were evaluated. An open-loop mathematical model for the web transport system was derived and used for the design of the PID controllers. The winding roll radius is a timevarying parameter in the model. The fixed-gain PID controller designed at a particular instant of time could not meet the desired specifications, whereas the variable-gain PID controller could produce accurate tension control in the winding section. An advantage of the variable-gain control is its simplicity. This approach is easy to implement and shows promise for applications where the time-varying parameters are easily measured.

Control Gain Tuning of a Simultaneous Multi-Axis PID Control System by Taguchi Method (다구찌방법을 이용한 다축 동시 PID 제어시스템의 제어이득 조정)

  • Lee, Ki-Ha;Kim, Jong-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.6
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    • pp.25-35
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    • 1999
  • This paper presents a control gain tuning scheme for multi-axis PID control systems by Taguchi method. As an experimental set-up, a parallel mechanism machine tool has been selected. This machine has eight servodrives and each servodrive has four control gains, respectively. Therefore, total 32 control gains have to be tuned. Through a series of design of experiments, an optimal and robust set of PID control gains is tuned. The index of the sum of position error and velocity error is reduced to 61.4% after the experimental gain tuning regardless of the feedrate variation.

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