• 제목/요약/키워드: filter(normal filter)

검색결과 353건 처리시간 0.201초

TRIAC위상 제어 조광기에서의 LED구동을 위한 Single-Stage 준 공진형 PSR(Primary Side Regulation) PWM 컨버터 (Single-Stage Quasi Resonant Type PSR(Primary Side Regulation) PWM Converter for the LED Drive in TRIAC Phase Controlled Dimmer)

  • 한재현;임영철;정영국
    • 조명전기설비학회논문지
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    • 제27권2호
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    • pp.84-94
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    • 2013
  • In case when the existing TRIAC phase controlled dimmer is drove for the LED lighting equipments, there are many problems such as the LED flicker in low phase-angles, the acoustic noise and elements damage by increase of the peak voltage in the input filter capacitor, mulfunction by insufficiency of the TRIAC holding current, and the abnormal oscillation by LC resonant. In this paper, we proposes the single-stage quasi-resonant PSR(Primary Side Regulation) PWM converter, and the design, the simulation and experiment are performed. As a result, it could confirm that the proposed PWM converter is the lighting equipments for LED drive which can alternate the existing 60W class incandescent bulbs and it has the high drive performance of the efficiency 80% and over, the power factor 0.95 and over under the normal voltage 220V. Finally, total harmonic distortion(THD) is gratified with a standard[1] of the lighting equipments and the durability is evaluated as the high reliablilty of 150,000 hours and over.

단기수요예측 알고리즘 (An Algorithm of Short-Term Load Forecasting)

  • 송경빈;하성관
    • 대한전기학회논문지:전력기술부문A
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    • 제53권10호
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    • pp.529-535
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    • 2004
  • Load forecasting is essential in the electricity market for the participants to manage the market efficiently and stably. A wide variety of techniques/algorithms for load forecasting has been reported in many literatures. These techniques are as follows: multiple linear regression, stochastic time series, general exponential smoothing, state space and Kalman filter, knowledge-based expert system approach (fuzzy method and artificial neural network). These techniques have improved the accuracy of the load forecasting. In recent 10 years, many researchers have focused on artificial neural network and fuzzy method for the load forecasting. In this paper, we propose an algorithm of a hybrid load forecasting method using fuzzy linear regression and general exponential smoothing and considering the sensitivities of the temperature. In order to consider the lower load of weekends and Monday than weekdays, fuzzy linear regression method is proposed. The temperature sensitivity is used to improve the accuracy of the load forecasting through the relation of the daily load and temperature. And the normal load of weekdays is easily forecasted by general exponential smoothing method. Test results show that the proposed algorithm improves the accuracy of the load forecasting in 1996.

안드로이드 기반 스마트폰 연동 심박변이도 추정 (Estimation of Heart Rate Variability with an Android Smart Phone Platform)

  • 김정환;신승원;김현태;윤태호;김경섭;이정환;엄광문
    • 전기학회논문지
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    • 제61권6호
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    • pp.865-871
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    • 2012
  • In this study, ambulatory electrocardiogram(ECG) signal and the rhythms of heart beats are visualized in terms of R-R intervals and Heart Rate Variability(HRV) in the environment of an android plaform. With this aim, Graphical User Interface(GUI) is implemented by executing multi-thread Java programming modules including ECG, heart-beats, tachogram and visualization unit. ECG signals are acquired in an android device by receiving the data from ambulatory ECG sensory system. Finite Impulse Response(FIR) filters are implemented to eliminate the baseline wandering noises contained in the ambulatory signals and DC-offset level in R-R interval data. With simulating the normal or stress emotional state of a subject, we can find the fact that HRV can be successfully estimated and visualized in an android smart phone platform.

추정된 타이어 힘을 이용한 능동 조향 제어 (Active steering Control Based on The Estimated Tire Forces)

  • 서찬원;김준영;홍대건;허건수
    • 대한기계학회논문집A
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    • 제24권9호
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    • pp.2228-2234
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    • 2000
  • Steering of the vehicles on a slippery highway is a difficult task for most passenger car drivers. The steering vehicles on slippery roads tend to slide outward with less lateral forces than on nor mal roads. When the drivers notice that their vehicles on a slippery highway start to depart from the cornering lane, most of them make a sudden steering and/or braking, which in turn may induce spin-out and instability on their vehicles. In this paper, an active steering control method is proposed such that the vehicles in slippery roads are steered as if they are driven on the normal roads. In the proposed method, the estimated lateral forces acting on the steering tires are compared with the reference values and the difference is compensated by the active steering method. A fuzzy logic controller is designed for this purpose and evaluated on a steering Hardware-In-the-Loop Simulation (HILS) system. Steering performance results on the slippery curved and sinus roads demonstrate the effectiveness of the proposed controller. This method can be realized with the steer-by-wire concept and is promising as an active safety technology.

Precision Position Control of PMSM using Neural Observer and Parameter Compensator

  • Ko, Jong-Sun;Seo, Young-Ger;Kim, Hyun-Sik
    • Journal of Power Electronics
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    • 제8권4호
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    • pp.354-362
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    • 2008
  • This paper presents neural load torque compensation method which is composed of a deadbeat load torque observer and gains compensation by a parameter estimator. As a result, the response of the PMSM (permanent magnet synchronous motor) obtains better precision position control. To reduce the noise effect, the post-filter is implemented by a MA (moving average) process. The parameter compensator with an RLSM (recursive least square method) parameter estimator is adopted to increase the performance of the load torque observer and main controller. The parameter estimator is combined with a high performance neural load torque observer to resolve problems. The neural network is trained in online phases and it is composed by a feed forward recall and error back-propagation training. During normal operation, the input-output response is sampled and the weighting value is trained multi-times by the error back-propagation method at each sample period to accommodate the possible variations in the parameters or load torque. As a result, the proposed control system has a robust and precise system against load torque and parameter variation. Stability and usefulness are verified by computer simulation and experiment.

Correlation between Muscular Fatigue and EMG Activity during the Prolonged Casual Computer Work

  • Cho, Won-Hak;Lee, Woo-Yong;Choi, Hyeon-Ki
    • 비파괴검사학회지
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    • 제29권3호
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    • pp.224-229
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    • 2009
  • An experimental study was conducted to investigate the effects of turtle neck syndrome, so called, on muscular fatigue and muscle activity. Six subjects (males) participated and performed the prolonged casual computer work in the study. EMG signals from six muscles of the dominant neck-back region were acquired and recorded for 10 seconds at the beginning and the end of three hours computer work. EMG was recorded from six muscles by using a computerized data recording and analysis system. Power spectrum function of EMG was calculated off-line by means of a signal processing software package. Power spectrum functions were smoothed with a moving average filter of 21 points and normalized with respect to the maximal value achieved during the trials. Muscle activity and median frequencies of Sternocleidomastoid(SCM) in turtle neck posture was approximately 51%, which were less than those in normal neck posture. SCM also showed the biggest decrease in median frequency. Results will provide the insight into the neck-back injury mechanism of turtle neck patients. Furthermore, they will be helpful in developing rehabilitation programs for restoring patients' neck-back functions.

급성 진행성 치주염환자에서 백혈구 화학주성 기능부전에 관한 연구 (Peripheral Blood Leukocyte Chemotaxis Dysfunction in Rapidly Progressive Periodontitis)

  • 정종평;정현주;정진형
    • 대한치과의사협회지
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    • 제21권10호통권173호
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    • pp.805-812
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    • 1983
  • For the assessment of peripheral blood leukocyte chemotaxis dysfunction in rapidly progressive periodontitis, peripheral blood leukocyte of 13 patients were isolated, and tested by the method of blind well chamber technique which was recently developed by Park. Data analysis was performed from the speed of cell migration from the bottom of filter paper to the top for 18 minutes at the condition of chemo-attractant(Zymosan-activated serum). Eight of the 13 patients (62%) exhibited statistically significant inhibition of leukocyte chemotaxis, 4 patients revealed normal function and the other one patients showed elevated leukocyte chemotaxis. Four of the 8 patients in chemotaxis dysfunction showed significant inhibition of random migration and chemotaxis dysfunction both. Two of these 4 patients exhibited random migration impairment, elevation of C.D.I. and chemotaxis dysfunction. The results indicated that the progression of rapidly progressive periodontitis was influenced by the leukocyte chemotaxis dysfunction, and half of these dysfunction was associated with cell-defect of leukocyte.

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정풍량 공조시스템의 고장검출 및 진단 시뮬레이션 (Fault Detection and Diagnosis Simulation for CAV AHU System)

  • 한동원;장영수;김서영;김용찬
    • 설비공학논문집
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    • 제22권10호
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    • pp.687-696
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    • 2010
  • In this study, FDD algorithm was developed using the normalized distance method and general pattern classifier method that can be applied to constant air volume air handling unit(CAV AHU) system. The simulation model using TRNSYS and EES was developed in order to obtain characteristic data of CAV AHU system under the normal and the faulty operation. Sensitivity analysis of fault detection was carried out with respect to fault progress. When differential pressure of mixed air filter increased by more than about 105 pascal, FDD algorithm was able to detect the fault. The return air temperature is very important measurement parameter controlling cooling capacity. Therefore, it is important to detect measurement error of the return air temperature. Measurement error of the return air temperature sensor can be detected at below $1.2^{\circ}C$ by FDD algorithm. FDD algorithm developed in this study was found to indicate each failure modes accurately.

지진하중을 받는 마찰형 감쇠를 갖는 구조물의 변위 응답 확률 분포 (Probabilistic Distribution of Displacement Response of Frictionally Damped Structures under Earthquake Loads)

  • 이상현;박지훈;윤경조;민경원
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2007년도 정기 학술대회 논문집
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    • pp.639-644
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    • 2007
  • The accurate peak response estimation of a seismically excited structure with frictional damping system(FDS) is very difficult since the structure with FDS shows nonlinear behavior dependent on the structural period, loading characteristics, and relative magnitude between the frictional force and the excitation load. Previous studies have estimated that by replacing a nonlinear system with an equivalent linear one or by employing the response spectrum obtained based on nonlinear time history and statistical analysis. In the case that on earthquake load is defined with probabilistic characteristics, the corresponding response of the structure with FDS has probabilistic distribution. In this study, nonlinear time history analyses were performed for the structure with FDS subjected to artificial earthquake loads generated using Kanai-Tajimi filter. An equation for the probability density function (PDF) of the displacement response is proposed by adapting the PDF of the normal distribution. Finally, coefficients of the proposed PDF is obtained by regression analysis of the statistical distribution of the time history responses. Finally, the correlation between PDFs and statistical response distribution is presented.

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GHP 운전시 COV에 의한 정상상태 판별 및 이상검출 방법 연구 (A Study on Steady-State Criterion based on COV and a Fault Detection Method during GHP Operation)

  • 신영기;오세재;정진희
    • 설비공학논문집
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    • 제23권11호
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    • pp.705-710
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    • 2011
  • Fault detection has to be proceeded by steady state filtering to get rid of transient effect associated with thermal capacity. Coefficient of variance (COV), ratio of standard deviation devided by moving average, was employed as steady-state filter. Engine speed and refrigerant pressures were selected as parameters representing system dynamics. The filtered values were registered as members of steady-state DB. They were found to show good functional relationship with ambient temperature. The relationship was fitted with a second order polynomial and the distribution bounds of the data around the fitted curve were expressed by visual inspection because of varying average and random data interval. Fault data were compared with the steady-state data obtained during normal operation. The fault data were easily isolated from the fault-free one. To make such isolation reliable, tests to construct good DB should be designed in a systematic way.