• Title/Summary/Keyword: Improved PID Controller

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Development of a Self-tuning Fuzzy-PID Controller for Water Level of Steam Generator (증기발생기 수위제어를 위한 자기동조 퍼지 PID 제어기 개발)

  • Han, Jin-Wook;Lee, Chang-Goo;Han, Hoo-Seuk
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.48 no.10
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    • pp.1251-1258
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    • 1999
  • The water level control of a steam generator in the unclear power plant is an important process. Most of the water level controllers of the actual plant are PID controllers. But they have limitations in appling for tracking the set point and getting rid of disturbances, so there are some defects to apply in the actual ground even though many research works represented the resolutions to solve it. In this paper, it is suggested that the established simple PID controller in low power has the ability to remove disturbances and trace the set-point, and then possesses the real-time self-tuning function according to the variety of moving peculiarity of a plant. This function realized by making use of fuzzy logic. PID parameters are formulated by a variable ${\alpha}$ and made it fluctuate by a fuzzy inference according to level error and level error change. This mechanism makes application of actual plant effective as well as taking advantage of improving the efficiency of water level controller by way of adding the function of self-tuning instead of replacing PID controller. The computer simulation of this scheme shows the improved performance compare to conventional PID controller.

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Improved Neural Network-Based Self-Tuning fuzzy PID Controller for Induction Motor Speed Control (유도전동기 속도제어를 위한 개선된 신경회로망 기반 자기동조 퍼지 PID 제어기 설계)

  • 김상민;한우용;이창구
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.51 no.12
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    • pp.691-696
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    • 2002
  • This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for induction motor speed control. When induction motor is continuously used long time, its electrical and mechanical Parameters will change, which degrade the Performance of PID controller considerably. This Paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. Proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using dSPACE(DS1102) board are performed to verify the effectiveness of the proposed scheme.

Improved Neural Network-based Self-Tuning Fuzzy PID Controller for Sensorless Vector Controlled Induction Motor Drives (센서리스 유도전동기의 속도제어를 위한 개선된 신경회로망 기반 자기동조 퍼지 PID 제어기 설계)

  • Kim, Sang-Min;Han, Woo-Yong;Lee, Chang-Goo;Han, Hoo-Suk
    • Proceedings of the KIEE Conference
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    • 2002.07b
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    • pp.1165-1168
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    • 2002
  • This paper presents a neural network based self-tuning fuzzy PID control scheme with variable learning rate for sensorless vector controlled induction motor drives. MRAS(Model Reference Adaptive System) is used for rotor speed estimation. When induction motor is continuously used long time. its electrical and mechanical parameters will change, which degrade the performance of PID controller considerably. This paper re-analyzes the fuzzy controller as conventional PID controller structure, introduces a single neuron with a back-propagation learning algorithm to tune the control parameters, and proposes a variable learning rate to improve the control performance. The proposed scheme is simple in structure and computational burden is small. The simulation using Matlab/Simulink and the experiment using DS1102 board show the robustness of the proposed controller to parameter variations.

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Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid

  • Nguyen, Duy-Long;Lee, Hong-Hee
    • Proceedings of the KIPE Conference
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    • 2019.07a
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    • pp.115-117
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    • 2019
  • In this paper, an intelligent control scheme based on Fuzzy PID controller is proposed for accurate power sharing in DC Microgrid. The proposed Fuzzy PID controller is designed with the aid of a closed loop control based on per unit power of each distributed generator (DG), and accurate power sharing is successfully realized in proportional to each DG's power rating regardless of the line resistance difference or the load change. Thanks to Fuzzy PID controller, the dynamic response becomes faster and the stability of the microgrid system are improved in comparison to conventional PID controller. The superiority of the proposed method is analyzed and verified by simulation in Matlab and Simulink.

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A study on The Fuzzy Based PID Position controller for Step Motor Drives

  • Kim, Seung-Cheol;Cho, Yong-Sung;Park, Jae-Hyung;Kang, Shin-Chul;Bay, Gyu-Han
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1496-1499
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    • 2005
  • In this paper, we applied step motor drive using a fuzzy logic control based on PID controller. A designed this controller's purpose is improved robust and autonomous characteristic in which the variation of external load affects plant parameter. Therefore, in this paper, using a fuzzy logic control based on PID controller of two fuzzy-PI and fuzzy-D is obtained decremental overshoot and a special response quality.

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Design of Hierarchical Controller for Satisfaction of Multiple Performance (다양한 성능 만족을 위한 계층적 제어기 설계)

  • Cho, Joon-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.2
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    • pp.396-406
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    • 2007
  • In this paper, we proposed development of improved model reduction and design of hierarchical controller using reduction model. The model reduction is considered that it is the transient response and the steady-state response through the use of nyquist curve. The hierarchical controller selected tuning of PID controller to ensure specified gain and phase margin and hybrid smith-predictor fuzzy controller using reduction model. Simulation examples are given to show the better performance of the proposed method than conventional methods.

Quadrotor Attitude Stabilization by Using PID Controller (PID 제어기를 이용한 쿼드로터 자세 안정화)

  • Kim, Yongyoung;Shin, Junhee;Lee, Sunik;Lee, Hyounggon;Lim, Hyunmin;Kim, Kwangjin;Lee, Sangchul
    • Journal of Aerospace System Engineering
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    • v.4 no.4
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    • pp.18-27
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    • 2010
  • Quadrotor is an aircraft which is possible in Vertical Take-off and Landing(VTOL). This aircraft can not only be created as an Unmanned Aerial Vehicle(UAV), but also can be easily used in various fields because of its simplicity of construction. This study is mainly conducted with two main purposes. The first goal is designing the quadrotor focusing on the lightweight and protecting the airframe. The second purpose is stabilizing the quadrotor's attitude by using the PID controller. MATLAB simulation is performed for obtaining PID gain based on equations of motion. We used the compensation filter technique for the calibration of sensor data. PID gain has been drawn out based on the MATLAB simulation. The efficiency of the attitude control is improved by calibration of sensor data.

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Implementation of a Hybrid Controller for Hydraulic Inverter Controller (유압식 인버터 제어기를 위한 하이브리드 제어기 구현)

  • 한권상;최병욱
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.1
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    • pp.55-64
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    • 2002
  • Due to the friction characteristics of cylinders and the rail of a passenger car, in the system actuated with hydraulic systems, there exist dead zones, which can not be controlled by a PID controller. In this paper, the friction characteristics of a cylinder is examined, which may cause the abrupt increase of the acceleration in the zero-crossing speed region. To overcome the drawbacks of a PID controlled hydraulic system, a zooming fuzzy logic controller is designed and finally an improved hybrid controller is Proposed. The proposed controller is composed of the PID controller and the zooming fuzzy controller. The effectiveness of the proposed control scheme is shown by simulation and experimental results, In which the proposed hybrid control method yields good control performance not only in the zero-crossing speed region but also In the overall control region including steady-state region.

A Design of Auto-Tuning PID Controller using Fuzzy Reasoning (퍼지추론을 이용한 자동동조 PID 제어기의 설계)

  • Park, S.J.;Hong, H.P.;Park, J.K.;Lim, Y.C.;Cho, K.Y.
    • Proceedings of the KIEE Conference
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    • 1991.11a
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    • pp.345-348
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    • 1991
  • This paper describes a new auto tuning method for the intelligent PID control system. This new method is hosed on the settling time of the process and has been introduced into auto-tuning PID controller using fuzzy logic. The performance of the controller is measured by computer simulation. Simulation shows good results that controller searches well the optimal values of PID parameters in any conditions and the response characteristic of the control system is improved.

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Non-linear PID Tension Control in a Winding Process with a Contact Roll and a Nip Roll (접압롤 및 보조닙롤이 있는 권취공정에서의 장력의 비선형 PID제어)

  • 신기현;김규태;천성민
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.2
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    • pp.45-52
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    • 1998
  • The contact roll is often used to regulate the winding tension as well as the entrained air in a wound roll by adjusting the contact force to the winding roll. But the contact force generated by other rolls, like assistant nip rolls, in a winding(or roll changing) process may act as disturbance to the control of the winding tension. In this paper, the mechanism of a roll change process is analysed. Ana, the behavior of the contact and the nip rolls are mathematically modeled. A nonlinear PID(NPID) controller is designed to control the winding tension and to reject the effect of disturbance generated by the nip roll on the winding tension variation. Computer simulation study showed that the performance of the suggested NPID controller is improved compared with that of the PID controller in controlling the winding tension and in rejecting the effect of the disturbance.

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