• 제목/요약/키워드: digital tuning

검색결과 180건 처리시간 0.026초

초기과도 상태를 개선한 자기 동조 제어 방식 (Self-tuning control with improved transient state)

  • 김운성;배한경;허경무
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.376-381
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    • 1992
  • In this thesis, a self-tuning control method based on Variable Structure System technique for tracking control of Direct-Drive motor is presented. The self-tuning control could not make the tracking error zero in the transient period. This tracking error may be due to disturbances or the error in parameter identification. To overcome this problem, a self-tuning control method based on discrete time VSS technique is presented. The STC based on VSS technique gives good tracking performance of the reference signal in the transient period. The proposed controller is robust to parameter errors and disturbances. The performance of the proposed controller is compared with that of simple STC through digital computer simulation.

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Low-Power, All Digital Phase-Locked Loop with a Wide-Range, High Resolution TDC

  • Pu, Young-Gun;Park, An-Soo;Park, Joon-Sung;Lee, Kang-Yoon
    • ETRI Journal
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    • 제33권3호
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    • pp.366-373
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    • 2011
  • In this paper, we propose a low-power all-digital phase-locked loop (ADPLL) with a wide input range and a high resolution time-to-digital converter (TDC). The resolution of the proposed TDC is improved by using a phase-interpolator and the time amplifier. The phase noise of the proposed ADPLL is improved by using a fine resolution digitally controlled oscillator (DCO) with an active inductor. In order to control the frequency of the DCO, the transconductance of the active inductor is tuned digitally. The die area of the ADPLL is 0.8 $mm^2$ using 0.13 ${\mu}m$ CMOS technology. The frequency resolution of the TDC is 1 ps. The DCO tuning range is 58% at 2.4 GHz and the effective DCO frequency resolution is 0.14 kHz. The phase noise of the ADPLL output at 2.4 GHz is -120.5 dBc/Hz with a 1 MHz offset. The total power consumption of the ADPLL is 12 mW from a 1.2 V supply voltage.

PID 자동동조기의 디지틀 구현 (Digital implementation of PID autotuner)

  • 이상정;김인중;홍석민
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 22-24 Oct. 1991
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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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A Small-Area Solenoid Inductor Based Digitally Controlled Oscillator

  • Park, Hyung-Gu;Kim, SoYoung;Lee, Kang-Yoon
    • JSTS:Journal of Semiconductor Technology and Science
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    • 제13권3호
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    • pp.198-206
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    • 2013
  • This paper presents a wide band, fine-resolution digitally controlled oscillator (DCO) with an on-chip 3-D solenoid inductor using the 0.13 ${\mu}m$ digital CMOS process. The on-chip solenoid inductor is vertically constructed by using Metal and Via layers with a horizontal scalability. Compared to a spiral inductor, it has the advantage of occupying a small area and this is due to its 3-D structure. To control the frequency of the DCO, active capacitor and active inductor are tuned digitally. To cover the wide tuning range, a three-step coarse tuning scheme is used. In addition, the DCO gain needs to be calibrated digitally to compensate for gain variations. The DCO with solenoid inductor is fabricated in 0.13 ${\mu}m$ process and the die area of the solenoid inductor is 0.013 $mm^2$. The DCO tuning range is about 54 % at 4.1 GHz, and the power consumption is 6.6 mW from a 1.2 V supply voltage. An effective frequency resolution is 0.14 kHz. The measured phase noise of the DCO output at 5.195 GHz is -110.61 dBc/Hz at 1 MHz offset.

자동동조 Pl 기법을 적용한 영구자석형 동기전동기의 속도 제어 (Speed Control of Permanent Magnet Synchronous Motor Using PI Auto-tuning Method)

  • 전인효
    • 한국정보통신학회논문지
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    • 제2권2호
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    • pp.231-239
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    • 1998
  • 본 논문에서는 영구자석형 동기전동기의 속도제어를 위한 전류제어 서보시스템을 설계하였다. PI(Proportional Integral) 제어기 파라메터의 자동동조(auto-tuning)를 위한 기존의 방법들에서는 출력응답이 지연되고 오버슈트 가 발생된다. 본 논문에서는 이러한 기존의 문제점들을 해결함으로써 빠른 응답과 오버슈트를 제거할 수 있는 새로운 PI자동동조 방법을 속도 제어기에 적용한다. 영구자석형 동기전동기 서보시스템은 수많은 서보 모터들이 사용되고 있는 자동화 공장에서 보수 유지의 용이성과 가제어성으로 인해 많은 장점들을 제공한다. 구현된 서보시스템은 회전자의 절대 위치 검출회로, 자동동조 PI 제어 알고리즘, DSP(Digital Signal Processor)에 의한 속도제어기, 그리고 전력 구동부 등으로 구성된다. 본 논문에서 제안된 서보시스템의 실질적인 유용성은 실험을 통해 입증한다.

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PID제어기 자동동조에 관한 연구 (A Study on the PID controller auto-tuning)

  • 조현섭
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2009년도 추계학술발표논문집
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    • pp.630-632
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    • 2009
  • The parameters of PID controller should be readjusted whenever system character change. In spite of a rapid development of control theory, this work needs much time and effort of expert. In this paper, to resolve this defect, after the sample of parameters in the changeable limits of system character is obtained, these parametrs are used as desired values of back propagation learning algorithm, also neural network auto tuner for PID controller is proposed by determing the optimum structure of neural network. Simulation results demonstrate that auto-tuning proper to system character can work well.

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신경망 학습을 이용한 PID제어기 자동동조에 관한 연구 (A Study on the PID controller auto-tuning using neural network learning)

  • 조현섭;오명관
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2009년도 춘계학술발표논문집
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    • pp.458-460
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    • 2009
  • The parameters of PID controller should be readjusted whenever system character change. In spite of a rapid development of control theory, this work needs much time and effort of expert. In this paper, to resolve this defect, after the sample of parameters in the changeable limits of system character is obtained, these parametrs are used as desired values of back propagation learning algorithm, also neural network auto tuner for PID controller is proposed by determing the optimum structure of neural network. Simulation results demonstrate that auto-tuning proper to system character can work well.

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A Single-Chip CMOS Digitally Synthesized 0-35 MHz Agile Function Generator

  • Meenakarn, C.;Thanachayanont, A.
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -3
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    • pp.1984-1987
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    • 2002
  • This paper describes the design and implementation of a single-chip digitally synthesized 0-35MHz agile function generator. The chip comprises an integrated direct digital synthesizer (DDS) with a 10-bit on- chip digital-to-analog converter (DAC) using an n-well single-poly triple-metal 0.5-$\mu\textrm{m}$ CMOS technology. The main features of the chip include maximum clock frequency of 100 MHz at 3.3-V supply voltage, 32-bit frequency tuning word resolution, 12-bit phase tuning word resolution, and an on-chip 10-bit DAC. The chip provides sinusoidal, ramp, saw-tooth, and random waveforms with phase and frequency modulation, and power-down function. At 100-MHz clock frequency, the chip covers a bandwidth from dc to 35 MHz in 0.0233-Hz frequency steps with 190-ns frequency switching speed. The complete chip occupies 12-mm$^2$die area and dissipates 0.4 W at 100-MHz clock frequency.

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디지털 헬스케어 데이터 분석을 위한 머신 러닝 기술 활용 동향 (Trend of Utilization of Machine Learning Technology for Digital Healthcare Data Analysis)

  • 우영춘;이성엽;최완;안창원;백옥기
    • 전자통신동향분석
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    • 제34권1호
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    • pp.98-110
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    • 2019
  • Machine learning has been applied to medical imaging and has shown an excellent recognition rate. Recently, there has been much interest in preventive medicine. If data are accessible, machine learning packages can be used easily in digital healthcare fields. However, it is necessary to prepare the data in advance, and model evaluation and tuning are required to construct a reliable model. On average, these processes take more than 80% of the total effort required. In this study, we describe the basic concepts of machine learning, pre-processing and visualization of datasets, feature engineering for reliable models, model evaluation and tuning, and the latest trends in popular machine learning frameworks. Finally, we survey a explainable machine learning analysis tool and will discuss the future direction of machine learning.

집적된 수동 소자 변동에 의한 RC 시상수 자동 보정 기법 (Automatic Tuning Architecture of RC Time-Constant due to the Variation of Integrated Passive Components)

  • 이성대;홍국태;장명준;정강민
    • 센서학회지
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    • 제6권2호
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    • pp.115-122
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    • 1997
  • 집적된 수동소자의 변동에 의한 RC 시상수 변동을 보정하는 on-chip 자동 보정(tuning)회로를 제안된 적분레벨 근사화 기법을 이용하여 설계하였다. 이 방법은 기존의 이중경사 보정회로가 갖는 결점인 미발생 코드 존재와 오류코드 발생을 해결할 수 있으며, 보정코드가 정상적인 동작을 할 때는 고정되기 때문에 집적회로에서 처리되는 신호의 변조를 유발하지 않는다. 이 보정회로는 적분기와 간단한 A/D 변환기 및 디지탈 제어 회로로 구성되며, 집적회로내의 모든 커패시터는 커패시터 열로 대체된 후 설정된 RC 시상수를 유지하도록 보정회로에 의해서 프로그램 된다. 설계된 자동 보정회로에 의하여 ${\pm}50%$의 시상수 변동율을 갖는 집적 시스템의 RC 시상수 오차범위는 4비트 보정로드의 경우 $-9.74{\sim}+9.69%$로 측정되었다.

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