• Title/Summary/Keyword: On-line estimation

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On-line Torque Control of Railway Vehicle System that Use 2DOF Controller (2자유도 제어기를 이용한 철도차량시스템의 실시간 토크제어)

  • Kim, Eun-Gi;Kim, Cheol-Hoo;Chung, Eun-Sung
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.196-203
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    • 2010
  • 2DOF is applied to induction moor in order to supply these weak points of PI torque control method in this paper. and The proposed method utilize the combination of the voltage model based on stator equivalent model and the current model based on rotor equivalent model, which enables stable estimation of rotor flux. To prove the propriety of this paper, the various simulations carried out adequacy and stability using Matlab, and at the same time real system is made, so it is proved. As the results of embodying the system, the robust system is realized.

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A Study on Guide System for Optimization of Machining Process (기계가공 최적화를 위한 가이드시스템에 관한 연구)

  • Choi, Jong-Geun;Yang, Min-Yang
    • Journal of the Korean Society for Precision Engineering
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    • v.6 no.4
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    • pp.71-83
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    • 1989
  • The optimization in the machining process has been a long-standing goal of the manufacturing community. The optimization is composed of two main subjects;one is to select an optimum cutting condition, and the other is to detect the emergency situation and take necessary actions in real-time base. This paper proposes a reliable and practical guide system whose purpose is the optimization of cutting conditions, and the detection of tool failure in the machining process. The optimal cutting conditions are determined through the estimation of tool wear rate and the establishment of access- ible field from the measured cutting temperature and force. Tool breakage is detected by the normal force component acting on minor flank face extracted from on-line sensed feed force and radial force. In experiments, the proposed guide system has proved availability for the decision of reliable cutting conditions for the given tool-work system and the detection of tool breakage in ordinary cutting environments.

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Model-Based Monitoring of the Turning Force (모델에 근거한 선삭력 모니터링)

  • 허건수
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1999.10a
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    • pp.11-15
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    • 1999
  • Monitoring of the cutting force signals in cutting process has been well emphasized in machine tool communities. Although the cutting force can be directly measured by a tool dynamometer, this method is not always feasible because of high cost and limitations in setup. In this paper an indirect cutting force monitoring system is developed so that the cutting force in turning process is estimated based on a AC spindle drive model. This monitoring system considers the cutting force as a disturbance input to the spindle drive and estimates the cutting force based on the inverse dynamic model. The inverse dynamic model represents the dynamic relation between the cutting force, the motor torque and the motor power. The proposed monitoring system is realized on a CNC lathe and its estimation performance is evaluated experimentally.

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A Study on Ultra Precise Position Control of Servomotor using Analog Quadrature Encoder (정현파 엔코더를 이용한 서보전동기 초정밀 위치 제어에 관한 연구)

  • Kim, Ji-Chan;Kim, Jang-Mok;Kim, Cheul-U;Choi, Cheol;Cho, Han-Ik
    • Proceedings of the KIPE Conference
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    • 2005.07a
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    • pp.237-239
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    • 2005
  • This paper describes the ultra precise position estimation of a servomotor using sinusoidal encoder based on Arcsine Interpolation Method. The amplitude and offset errors of the sinusoidal encoder output signals are effectively compensated and on-line tuned by utilizing a low cost programmable differential amp without any special expensive equipments. To theoretically evaluate the practical resolution of this system, the relationship between the amplitude of A/D converter input signal errors and the anticipated resolution is briefly dealt with. The performance of the proposed method is verified by the experiments, by comparing it with position and speed control characteristics of the servomotor driving system using a digital incremental 50,000ppr encoder.

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Effect of orientation, interval size, target location on interpolation estimates on CRT display. (CRT 표시장치에서 내삽 추정치에 대한 방향, 크기, 위치의 효과)

  • 노재호
    • Journal of the Ergonomics Society of Korea
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    • v.9 no.1
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    • pp.35-42
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    • 1990
  • This study is concerned with the accuracy, of error with which subjects can interpolate the location of a target between two graduation markers with 4 orientations and 6 sizes CRT display. Stimuli were graphic images on CRT with a linear, end-markec, ungraduated scales having a target. The location of a target is estimated in units over te range 1-99. Smallest error of estimates was at the near ends and middle of the base-line. The median error was less than 2 units, modal error was 1, and the most error (; 99.7%) was within 10. A proper size to make an minimum error in interpolation exists such that size 400 pixels. Interpolation estimation is shown to be affected by the size, location and interaction (orientation x location, size x location). The accuracy, interpolation performance are discussed in relation to absolute error associated with visual performance.

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Symbol Power Allocation and Channel Estimation Method for LR-WPAN System (LR-WPAN 시스템에서 심볼 전력 할당과 2개의 직교 코드를 사용한 채널 추정 기법)

  • Lee, Kyung-Tak;Lee, Sung-Jun;Sohn, Sung-Hwan;Kim, Jae-Moung
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.11
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    • pp.1-10
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    • 2007
  • In this paper, we proposed channel estimation scheme for LR-UWB system which has low data rate for WPAN in IEEE 802.15.4a. At the transmitter, we proposed dynamic power level allocation depends on channel condition in specific period when we modulate signal. We use two orthogonal code to estimate channel at once. It can estimate channel more accurately by using two code which shows good correlation characteristic then it can estimate more accurately by spreading gain. Using estimated channel condition, we synchronize symbol timing of transmitted signal. Then determined power allocation scheme and channel information is transmitted to transmiter side. Finally, using these information, transmiter side change the power level of repeated pulse to adopt to channel condition. Simulation is performed under S-V channel for LR-WPAN in IEEE 802.15.4a and we compare the performance with a different type of receiver type. We use coherent and non-coherent method at the receiver. Simulation result shows us at the NLOS channal performance evaluation is greater than that of LOS channel and the result is independent of receiver type. In the NLOS channel, as the signal delay spreading is big, performance evaluation is also increased.

Parameter Estimation for Multipath Error in GPS Dual Frequency Carrier Phase Measurements Using Unscented Kalman Filters

  • Lee, Eun-Sung;Chun, Se-Bum;Lee, Young-Jae;Kang, Tea-Sam;Jee, Gyu-In;Kim, Jeong-Rae
    • International Journal of Control, Automation, and Systems
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    • v.5 no.4
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    • pp.388-396
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    • 2007
  • This paper describes a multipath estimation method for Global Positioning System (GPS) dual frequency carrier phase measurements. Multipath is a major error source in high precision GPS applications, i.e., carrier phase measurements for precise positioning and attitude determinations. In order to estimate and remove multipath at carrier phase measurements, an array GPS antenna system has been used. The known geometry between the antennas is used to estimate multipath parameters. Dual frequency carrier phase measurements increase the redundancy of measurements, so it can reduce the number of antennas. The unscented Kalman filter (UKF) is recently applied to many areas to overcome some of the limitations of the extended Kalman filter (EKF) such as weakness to severe nonlinearity. This paper uses the UKF for estimating multipath parameters. A series of simulations were performed with GPS antenna arrays located on a straight line with one reflector. The geometry information of the antenna array reduces the number of estimated multipath parameters from four to three. Both the EKF and the UKF are used as estimation algorithms and the results of the EKF and the UKF are compared. When the initial parameters are far from true parameters, the UKF shows better performance than the EKF.

Parameter Estimation of Gravity Model by using Transit Smart Card Data (대중교통 카드를 이용한 중력모형 파라메타 추정)

  • Kim, Dae-Seong;Lim, Yong-Taek;Eom, Jin-Ki;Lee, Jun
    • Proceedings of the KSR Conference
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    • 2011.05a
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    • pp.1799-1810
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    • 2011
  • Origin-Destination(OD) trip survey being used in travel demand forecasting has been obtained through totalizing process with direct sample survey techniques such as plate license survey, roadside interview, household travel survey, and cordon line counts. However, the OD survey has many discrepancies in sampling, totalizing process, and such discrepancies contains problems of difference between forecasted traffic volume and observed data. On the other hand, transit smart card data recently collected has credible resource of obtaining travel information for bus and metro. This paper presents parameter estimation of gravity model by using transit smart card data. Through the parameter estimation method, we estimated =0.57, ${\beta}$=0.14 of gravity model for bus, and ${\alpha}$=-0.21, ${\beta}$=0.05 for metro. The statistical test such as T-test, coefficient of correlation, Theil`s inequality coefficient showed no difference between observed volume and estimated volume. Elasticities of bus and metro derived in this paper are also reasonable.

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Path Loss Exponent Estimation for Indoor Wireless Sensor Positioning

  • Lu, Yu-Sheng;Lai, Chin-Feng;Hu, Chia-Cheng;Huang, Yueh-Min;Ge, Xiao-Hu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.3
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    • pp.243-257
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    • 2010
  • Rapid developments in wireless sensor networks have extended many applications, hence, many studies have developed wireless sensor network positioning systems for indoor environments. Among those systems, the Global Position System (GPS) is unsuitable for indoor environments due to Line-Of-Sight (LOS) limitations, while the wireless sensor network is more suitable, given its advantages of low cost, easy installation, and low energy consumption. Due to the complex settings of indoor environments and the high demands for precision, the implementation of an indoor positioning system is difficult to construct. This study adopts a low-cost positioning method that does not require additional hardware, and uses the received signal strength (RSS) values from the receiver node to estimate the distance between the test objects. Since many objects in indoor environments would attenuate the radio signals and cause errors in estimation distances, knowing the path loss exponent (PLE) in an environment is crucial. However, most studies preset a fixed PLE, and then substitute it into a radio propagation loss model to estimate the distance between the test points; such method would lead to serious errors. To address this problem, this study proposes a Path Loss Exponent Estimation Algorithm, which uses only four beacon nodes to construct a radio propagation loss model for an indoor environment, and is able to provide enhanced positioning precision, accurate positioning services, low cost, and high efficiency.

Optimal Link Length Design for Departure Time-based Link Travel Time Information (출발시각기준 링크통행시간 정보의 공간적 설계 (연속류를 중심으로))

  • Kim, Jae-Jin;No, Jeong-Hyeon;NamGung, Seong;Park, Dong-Ju
    • Journal of Korean Society of Transportation
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    • v.25 no.2 s.95
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    • pp.145-155
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    • 2007
  • The objectives of this study aye to develop an on-line departure time-based travel time estimation method and to determine an optimal link length for the estimation. This study developed a link-based rolling horizon logic as the travel time estimation method. In order to determine an optimal link length, the information error of the travel time provision from the user's perspective was defined and employed as a selection criterion. It was found that, when the travel time aggregation size was set as five minutes, a link length of four kilometers gave the most accurate result.