• 제목/요약/키워드: Real-time signal control algorithm

검색결과 232건 처리시간 0.027초

재난 감시 디지털 트윈을 위한 UWB 실내 측위 및 실시간 원격제어 시스템 구현 (Implementation of UWB Indoor Positioning and Real-time Remote Control System for Disaster Monitoring based on Digital Twin)

  • 유다송;김원석
    • 한국멀티미디어학회논문지
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    • 제24권12호
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    • pp.1682-1692
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    • 2021
  • Digital Twin, one of the core technologies of the Fourth Industrial Revolution, is attracting attention as a very suitable technology for disaster monitoring such as fires and earthquakes. In this paper, we implement a system equipped with UWB RTLS(Ultra-Wideband Real Time Location System), real-time remote control, and video streaming, which are element technologies for disaster monitoring digital twin. Since the proposed system structure is based on a cloud server, the actual location of the UWB indoor positioning-based client is transmitted to the user device in real time and stored on the cloud server for statistical and data analysis. In addition, we demonstrate through experiments that outliers occurs when the value of RSSI(Received Signal Strength Indicator) decreases due to communication collisions between UWB Tags, and propose an RSSI outlier correction algorithm to solve this problem.

신경회로망을 이용한 분산계층 구조용 도로 유지관리설비의 고장정보처리에 관한 연구 (A Study on the Fault Signal Process of Hierarchical Distributed Structure for Highway Maintenance systems using neural Network)

  • 류승기;문학룡;홍규장;최도혁;한태환;유정웅
    • 조명전기설비학회논문지
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    • 제13권1호
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    • pp.69-76
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    • 1999
  • 본 논문에서는 도로 교통 정보설비의 유지관리를 위해 지능형으로 수행하는 원격감시제어 시스템을 제안하였다. 제안된 시스템은 국도 3호선에 설치되는 도로교통 설비에 대하여 유지관리를 수행하도록 시스템적으로 구축되어 있으며, 전송된 고장 정보는 중앙감시센터의 고장 정보 분석 알고리즘에 의해서 정보의 특성을 파악하도록 하였다. 분석 알고리즘은 신경회로망을 이용하여 다중으로 발생하는 고장정보에 대해서 지식 기반의 고장현상을 추론하도록 제안하였다. 고장 정보 분석 알고리즘의 유용성을 확인하기 위해 현장으로 실시간으로 전송되는 바이너리 신호의 패턴을 5가지 형태로 분류하여 성능을 분석하였으며, 이를 중앙감시센터에서의 유지관리용 운영환경 하에서 구현되도록 하였다.

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An Automatic Diagnosis Method for Impact Location Estimation

  • Kim, Jung-Soo;Joon Lyou
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.295-300
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    • 1998
  • In this paper, a real time diagnostic algorithm fur estimating the impact location by loose parts is proposed. It is composed of two modules such as the alarm discrimination module (ADM) and the impact-location estimation module(IEM). ADM decides whether the detected signal that triggers the alarm is the impact signal by loose parts or the noise signal. When the decision from ADM is concluded as the impact signal, the beginning time of burst-type signal, which the impact signal has usually such a form in time domain, provides the necessary data fur IEM. IEM by use of the arrival time method estimates the impact location of loose parts. The overall results of the estimated impact location are displayed on a computer monitor by the graphical mode and numerical data composed of the impact point, and thereby a plant operator can recognize easily the status of the impact event. This algorithm can perform the diagnosis process automatically and hence the operator's burden and the possible operator's error due to lack of expert knowledge of impact signals can be reduced remarkably. In order to validate the application of this method, the test experiment with a mock-up (flat board and reactor) system is performed. The experimental results show the efficiency of this algorithm even under high level noise and potential application to Loose Part Monitoring System (LPMS) for improving diagnosis capability in nuclear power plants.

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DSP를 이용한 비선형 모델을 갖는 직류 전동기의 센서없는 자기동조 적응제어 (Sensorless Self-Tuning Adaptive Control of Nonlinear Modeled DC Motors Using DSP)

  • 김윤호;국윤상;유연식
    • 한국조명전기설비학회지:조명전기설비
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    • 제9권6호
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    • pp.49-56
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    • 1995
  • In this study, self-tuning adaptive control using state observer is developed. Self-tuning adaptive controller that estimates the parameters of the system in real time and generates the optimal control signals has robust characteristic about varying load and external disturbances. In addition, state observer without sensors is applied, thus the control can be performed more quickly and exactly. Since chopper is used commonly in practical drives, the characteristics of the chopper are included in state observer algorithm, which, in turn, makes the system exact estimation. Since series type DC motor has nonlinear models, linearizing approach are investigated. to realize the proposed algorithm it requires fast calculation in real time. TMS320C31, digital signal processor, is applied to realized the adaptive control algorithms.

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FxLMS를 이용한 단일 센서기반 능동 반향음 제어 시스템 (A single sensor based active reflection control system using FxLMS algorithm)

  • 김재필;지유나;박영철;서영수
    • 한국음향학회지
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    • 제36권1호
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    • pp.57-63
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    • 2017
  • 본 논문에서는 FxLMS(Filtered-x Least Mean Square) 알고리즘을 이용한 단일 센서 기반의 능동 반향음 제어 알고리즘을 제안한다. 제안 알고리즘은 먼저 단일 센서 입력 신호로부터 입사음과 반향음을 분리하고, 분리된 신호들을 사용하여 반향음과 반대 위상을 갖는 제어 신호를 생성한다. 제어 신호는 센서 위치에서 반향음과 중첩되어 반향음의 음압을 감소시킨다. 적절한 신호 분리를 위해 반향 음향 경로와 제어 음향 경로가 필요하며 이는 swept sine 신호를 이용해 측정한 음향 응답으로부터 사전에 구할 수 있다. 효용성을 검증하기 위해 DSP(Digital Signal Processing) 보드를 사용하여 제안된 알고리즘을 실시간으로 구현하였으며, 공기 중 음향 덕트 환경에서 1 kHz 버스트 신호에 대해 반향음이 11.6 dB 감소함을 확인 하였다.

발전기시스템의 고정자보호 IED를 위한 개선된 알고리즘 (Advanced Algorithm for IED of Stator Winding Protection of Generator System)

  • 박철원
    • 전기학회논문지P
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    • 제57권2호
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    • pp.91-95
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    • 2008
  • The large AC generator fault may lead to large impacts or perturbations in power system. The generator protection control systems in Korea have been imported and operated through a turn-key from overseas entirely. Therefore a study of the generator protection field has in urgent need for a stable operation of the imported goods. In present, the algorithm using the current ratio differential relaying based DFT for stator winding protection or a fault detection had been applied that of internal fault protection of a generator. the DFT used for the analysis of transient state signal conventionally had defects losing a time information in the course of transforming a target signal to frequency domain. In this paper, the discrete wavelet transform (DWT) was applied a fault detection of the generator being superior to a transient state signal analysis and being easy to real time realization. The fault signals after executing a terminal fault modeling collect using a MATLAB package, and calculate the wavelet coefficients through the process of a muiti-level decomposition (MLD). The proposed algorithm for a fault detection using the Daubechies WT (wavelet transform) was executed with a C language and the commend line function for the real time realization after analyzing MATLAB's graphical interface. The advanced technique had improved faster a speed of fault discrimination than a conventional DFR based on DFT.

Computer Application to ECG Signal Processing

  • Okajima, Mitsuharu
    • 대한의용생체공학회:의공학회지
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    • 제6권2호
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    • pp.13-14
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    • 1985
  • We have developed a microprogramir!able signal processor for real-time ultrasonic signal processing. Processing speed was increased by the parallelism in horizontal microprogram using 104bits microcode and the Pipelined architecture. Control unit of the signal processor was designed by microprogrammed architec- ture and writable control store (WCS) which was interfaced with host computer, APPLE- ll . This enables the processor to develop and simulate various digital signal processing algorithms. The performance of the processor was evaluated by the Fast Fourier Transform (FFT) program. The execution time to perform 16 bit 1024 points complex FF7, radix-2 DIT algorithm, was about 175 msec with IMHz master Clock. We can use this processor to Bevelop more efficient signal processing algorithms on the biological signal processing.

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복수조화음에 대한 능동소음제어 시뮬레이션 (Simulation of Active Noise Control on Harmonic Sound)

  • 권오철;이경태;이해진;양인형;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.737-742
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    • 2007
  • The method of the reducing duct noise can be classified by passive and active control techniques. However, passive control has a limited effect of noise reduction at low frequencies (below 500Hz) and is limited by the space. On the other hand, active control can overcome these passive control limitations. The active control technique mostly uses the Least-Mean-Square (LMS) algorithm, because the LMS algorithm can easily obtain the complex transfer function in real-time particularly when the Filtered-X LMS (FXLMS) algorithm is applied to an active noise control (ANC) system. However, the convergence performance of the LMS algorithm decreases slightly so it may delay the convergence time when the FXLMS algorithm is applied to the active control of duct noise. Thus the Co-FXLMS algorithm was developed to improve the control performance in order to solve this problem. The Co-FXLMS algorithm is realized by using an estimate of the cross correlation between the adaptation error and the filtered input signal to control the step size. In this paper, the performance of the Co-FXLMS algorithm is presented in comparison with the FXLMS algorithm. Simulation results show that active noise control using Co-FXLMS is effective in reducing duct noise.

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슬라이딩 모드를 이용한 다관절 매니퓰레이터의 다입력 실시간 제어에 관한 연구 (A study on a multi-input time control of multi-joint manipulator using sliding mode)

  • 이민철
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.652-657
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    • 1992
  • This paper presents to accomplish successfully a multi-input real time control by applying control hierarchy for sliding mode of multi-joint manipulators whose nonlinear terms are regarded as disturbances. We- could simplify the dynamic equations of a manipulator and servo system, which are composed of linear elements and nonlinear elements, by assuming that nonlinear terms, which are Inertia term, gravity force term, Coriolis force term and centrifugal force term, are external disturbance. By simplifying that equation, we could easily obtain a control input which satisfy sliding mode of multi-input system. We proposed a new control input algorithm in order to decrease chattering by changing control input according as effect of disturbance if a control response become within allowance error range. In this experiments, we used DSP(Digital Signal Processor) controller to suppress chattering by time delay of calculation and to carry out real time control.

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정량적 피드백 이론을 이용한 유압 로드 시뮬레이터에 관한 힘 제어계 설계 (Design of Force Control System for a Hydraulic Road Simulator Using Quantitative Feedback Theory)

  • 김진완;현동길;김영배
    • 대한기계학회논문집A
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    • 제31권11호
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    • pp.1069-1076
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    • 2007
  • This paper presents the road simulator control technology for reproducing the road input signal to implement the real road data. The simulator consists of the hydraulic pump, servo valve, hydraulic actuator and its control equipment. The QFT(Quantitative Feedback Theory) is utilized to control the simulator effectively. The control system illustrates a tracking performance of the closed-loop controller with low order transfer function G(s) and pre-filter F(s) for a parametric uncertain model. A force controller is designed to communicate the control signal between simulator and digital controller. Tracking specification is satisfied with upper and lower bound tolerances on the steep response of the system to the reference signal. The efficacy of the QFT force controller is verified through the numerical simulation, in which combined dynamics and actuation of the hydraulic servo system are tested. The simulation results show that the proposed control technique works well under uncertain hydraulic plant system. The conventional software (Labview) is used to make up for the real controller in the real-time basis, and the experimental works show that the proposed algorithm works well for a single road simulator.