• Title/Summary/Keyword: adaptive PI control

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Novel Structure of 3-Phase Phase-Locked Loop with Stiffness against Disturbance (외란에 강인한 새로운 구조의 3상 Phase-Locked Loop)

  • Bae Byung-Yeol;Han Byung-Moon;Park Yong-Hee;Cho Yun-Ho
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.55 no.1
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    • pp.39-46
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    • 2006
  • PLL is a key item of power converter for power quality compensation and power flow control. This paper proposes a novel 3-phase PLL that is composed of ALC and PI controller. The operational principle was investigated through theoretical approach, and the performance was verified through computer simulations with MATLAB and experimental works with TMS320VC33 DSP board. The proposed 3-phase PLL shows accurate performance under the voltage disturbances such as sag, harmonics. phase-angle jump, and frequency change.

Design of Speed Controller of Rolling Mill DC Motor Drive System Using Self-Tuning Regulator (자기 동조 제어기를 이용한 압연용 직류 전동기 구동 시스템의 속도 제어기 설계)

  • Ji, Jun-Keun;Song, Seung-Ho;Sul, Seung-Ki;Park, Min-Ho
    • Proceedings of the KIEE Conference
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    • 1992.07b
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    • pp.1231-1234
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    • 1992
  • In this paper a self-tuning control algorithm has been utilized to control speed of a rolling mill DC drive system. Inner current control loop is composed of predictive current controller and the outer speed control loop is composed of the self-tuning PI or IP controller. Computer simulation results reveal that the adaptive control algorithm using self-tuning control is capable of following the typical set point variations required for a rolling mill in conjunction with load torque variations on the shaft of the drive.

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Development of adaptive optics system for SNUO 1m telescope

  • Ryu, Hyungjoon;Park, Yong-Sun;Seo, Jin-guk
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.67.1-67.1
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    • 2020
  • Adaptive Optics (AO) is the technology for ground-based telescopes to overcome the interference caused by atmospheric turbulence. We are developing an AO system for the 1-m telescope at Seoul National University Observatory (SNUO). The seeing size of the SNUO is 2 arcseconds on average, and 0.85 arcseconds at best condition. Our system is based on MEMS deformable mirror and Shack-Hartmann wavefront sensor. We developed the wavefront sensor using a cheap CMOS camera, and measured phase disturbance at SNUO. To verify the performance of the AO system, we designed an artificial phase disturber that produces similar scale phase error, measured at SNUO. We carried out laboratory tests in which the AO system measures and corrects the wavefront using the phase disturber and an F/6 light source, the same as that of SNUO telescope. The control system was developed in C++. The system performs closed-loop PI correction up to 100 Hz at a consumer-grade PC.

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Design of Fuzzy Logic Controller for a SRM Variable Speed Drive on Vehicle (차량용 SRM의 가변속 구동을 위한 퍼지 제어기 설계)

  • 송병섭;엄기명;윤용호;원충연;김덕근
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2000.11a
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    • pp.193-198
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    • 2000
  • Switched reluctance motor drives have been finding their applications in the variable speed drives due to their relatively low cost, simple and robust structure, controllability and high efficiency. Fuzzy control does not need any model of plant. It is based on plant operator experience and heuristics. Fuzzy control is basically adaptive and gives robust performance for plant parameter variation. This paper deals with the sped control of switched reluctance motor using fuzzy controller with 7-rule based fuzzy logic. The proposed fuzzy controller is superior to the control performance of the conventional PI controller. The fuzzy controller is implemented by 80C196KC, 16 bit one-chip microcontroller.

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Design and Implementation of a Robust Predictive Control Scheme for Active Power Filters

  • Han, Yang;Xu, Lin
    • Journal of Power Electronics
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    • v.11 no.5
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    • pp.751-758
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    • 2011
  • This paper presents an effective robust predictive control scheme for the active power filter (APF) using a smith-predictor based current regulator, which show superior features when compared to proportional-integral (PI) controllers in terms of an enhanced closed-loop bandwidth and an improved current tracking accuracy. A moving average filter (MAF) is implemented using a field programmable gate array (FPGA) for signal pre-processing to eliminate the switching ripple contamination. An adaptive linear neural network (ADALINE) is used for individual harmonic estimation to achieve selective compensation purpose. The effectiveness and validity of the devised control algorithm are confirmed by extensive simulation and experimental results.

Adaptive Control of PSD Sensor based Gantry Crane Systems (PSD 기반 갠트리 크레인 시스템의 적응제어)

  • Jeong, Sang-Chul;Kim, Dong-Won;Cho, Hyun-Cheol;Lee, Hyung-Ki
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.1634-1635
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    • 2007
  • 본 논문은 갠트리 크레인의 시뮬레이터를 제작하여 적응형 흔들림 제어기를 설계한다. 흔들림 감지는 디지털 카메라 센서를 이용하였으며 모델기반 적응제어를 이용하여 제어규칙을 산출한다. 제어규칙은 리아푸노브 안정성이론을 적용하였으며 정의된 리아푸노브 함수의 미분식이 음수를 갖기 위한 크레인의 적응형 제어입력을 계산한다. 제안한 제어기의 성능을 검토하기 위하여 실시간 제어실험을 실시하였으며 이송체의 무게 변화에 대한 적응성을 검토한다. 또한 기존의 PI 제어기도 함께 실험하여 성능의 비교 검토한다.

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A Study on the Speed Sensorless Vector Control for Induction Motor Adaptive Control Method using a High Frequency Boost Chopper of Hybrid Type Piezoelectric Transformer (하이브리드형 압전 변압기의 고주파 승압 초퍼를 이용한 적응제어기법 유도전동기 속도 센서리스 벡터제어에 관한 연구)

  • Hwang, Lark-Hoon;Na, Seung-Kwon;Kim, Yeong-Wook;Choi, Song-Shik
    • Journal of Advanced Navigation Technology
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    • v.17 no.3
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    • pp.332-345
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    • 2013
  • In this paper, recently, it is described to the piezoelectric transformer technology develops, because it was have to favorable characteristics such as electromagnetic-noise free, compact size, higher efficiency, and superior power density, flux linkage, noiseless, etc. its resonance frequency was used to output waveform of a sine wave. A rotor speed identification method of induction motor based on the theory of flux model reference adaptive system(FMRAS). The estimator execute the rotor speed identification so that the vector control of the induction motor may be achieved. The improved auxiliary variable of the model are introduced to perform accurate rotor speed estimation. The control system is composed of the PI controller for speed control and the current controller using space voltage vector PWM techniuqe and DC-DC converter. High speed calculation and processing for vector control is carried out by digital signal one chip microprocessor. Validity of the proposed control method is verified through simulation and experimental results.

Optimal Speed Control of Hybrid Electric Vehicles

  • Yadav, Anil Kumar;Gaur, Prerna;Jha, Shyama Kant;Gupta, J.R.P.;Mittal, A.P.
    • Journal of Power Electronics
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    • v.11 no.4
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    • pp.393-400
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    • 2011
  • The main objective of this paper is to control the speed of Nonlinear Hybrid Electric Vehicle (HEV) by controlling the throttle position. Various control techniques such as well known Proportional-Integral-Derivative (PID) controller in conjunction with state feedback controller (SFC) such as Pole Placement Technique (PPT), Observer Based Controller (OBC) and Linear Quadratic Regulator (LQR) Controller are designed. Some Intelligent control techniques e.g. fuzzy logic PD, Fuzzy logic PI along with Adaptive Controller such as Self Organizing Controller (SOC) is also designed. The design objective in this research paper is to provide smooth throttle movement, zero steady-state speed error, and to maintain a Selected Vehicle (SV) speed. A comparative study is carried out in order to identify the superiority of optimal control technique so as to get improved fuel economy, reduced pollution, improved driving safety and reduced manufacturing costs.

Speed Control of Induction Motor Using the Voltage Type Inverter with Speed Sensorless (속도검출기없는 전압형 Inverter에 의한 유도전동기 속도제어)

  • Seo Young-Soo;Lee Chun-Sang;Hwang Lak-Hoon;Kim Ju-Rae;Cho Moon-Tack
    • Proceedings of the KIPE Conference
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    • 2001.07a
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    • pp.430-433
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    • 2001
  • When the vector control, which does not need a speed signal from a mechanical speed sensor, it is possible to reduce the cost of the control equipment and to improve the control performance in many industrial application. This paper describes a rotor speed identification method of induction motor based on the theory of flux model reference adaptive system. The estimator execute the rotor speed identification so that the vector control of the induction motor may be achieved. The improved auxiliary variable of the two model are introduced In perform accurate rotor speed estimation. The control system is composed of the PI controller for speed control and current controller using space voltage vector PWM technique. High speed calculation and processing for vector control is carried out by TMS320C31 digital signal processor. Validity of the proposed control method is verified through simulation and experimental result.

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The development of an on-line self-tuning fuzzy PID controller (온라인 자기동조 퍼지 PID 제어기 개발)

  • 임형순;한진욱;김성중
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.704-707
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    • 1997
  • In this paper, we present a fuzzy logic based tuner for continuous on-line tuning of PID controllers. The essential idea of the scheme is to parameterize a Ziegler-Nichols-like tuning formula by a singler parameter .alpha., then to use an on line fuzzy logic to self-tune the parameter. The adaptive scaling makes the controller robust against large variations in parametric and dynamics uncertainties in the plant model. New self-tuning controller has the ability to decide when to use PI or PID control by extracting process dynamics from relay experiments. These scheme lead to improved performance of the transient and steady state behavior of the closed loop system, including processes with nonminimum phase processes.

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