• Title/Summary/Keyword: error vector

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Double Vector Based Model Predictive Torque Control for SPMSM Drives with Improved Steady-State Performance

  • Zhang, Xiaoguang;He, Yikang;Hou, Benshuai
    • Journal of Power Electronics
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    • v.18 no.5
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    • pp.1398-1408
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    • 2018
  • In order to further improve the steady-state control performance of model predictive torque control (MPTC), a double-vector-based model predictive torque control without a weighting factor is proposed in this paper. The extended voltage vectors synthesized by two basic voltage vectors are used to increase the number of feasible voltage vectors. Therefore, the control precision of the torque and the stator flux along with the steady-state performance can be improved. To avoid testing all of the feasible voltage vectors, the solution of deadbeat torque control is calculated to predict the reference voltage vector. Thus, the candidate voltage vectors, which need to be evaluated by a cost function, can be reduced based on the sector position of the predicted reference voltage vector. Furthermore, a cost function, which only includes a reference voltage tracking error, is designed to eliminate the weighting factor. Moreover, two voltage vectors are applied during one control period, and their durations are calculated based on the principle of reference voltage tracking error minimization. Finally, the proposed method is tested by simulations and experiments.

Two-Wheeled Welding Mobile Robot for Tracking a Smooth Curved Welding Path Using Adaptive Sliding-Mode Control Technique

  • Dung, Ngo Manh;Duy, Vo Hoang;Phuong, Nguyen Thanh;Kim, Sang-Bong;Oh, Myung-Suck
    • International Journal of Control, Automation, and Systems
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    • v.5 no.3
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    • pp.283-294
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    • 2007
  • In this paper, a nonlinear controller based on adaptive sliding-mode method which has a sliding surface vector including new boundizing function is proposed and applied to a two-wheeled welding mobile robot (WMR). This controller makes the welding point of WMR achieve tracking a reference point which is moving on a smooth curved welding path with a desired constant velocity. The mobile robot is considered in view of a kinematic model and a dynamic model in Cartesian coordinates. The proposed controller can overcome uncertainties and external disturbances by adaptive sliding-mode technique. To design the controller, the tracking error vector is defined, and then the sliding surface vector including new boundizing function and the adaptation laws are chosen to guarantee that the error vector converges to zero asymptotically. The stability of the dynamic system is shown through the Lyapunov method. In addition, a simple way of measuring the errors by potentiometers is introduced. The simulations and experimental results are shown to prove the effectiveness of the proposed controller.

Vibration Filter Using Vector Channel Periodic Lattice

  • Hwang, Won-Gul;Im, Hyung-Eun
    • Journal of Mechanical Science and Technology
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    • v.20 no.12
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    • pp.2043-2051
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    • 2006
  • This paper considered identification of vibration characteristics of flexible structure with vector channel periodic lattice filter. We present an algorithm for AR coefficients for the vector-channel lattice filters, and characteristic equation and transfer function are derived from these coefficients. Vibration lattice filter is then constructed from the vector channel lattice filter, and performance of this vibration filter is tested with a test signal which is a combination of many sine waves to compare the performance of scalar and vector channel lattice. Also it is applied to the cantilever data to identify properties of the system, such as natural frequencies and damping ratios, to show its performance.

Motion-Compensated Frame Rate Up-Conversion Using Guidance Motion Vector (유도 움직임 벡터를 이용한 움직임 보상 프레임율 향상 기법)

  • Park, Bumjun;Yu, Songhyun;Jeong, Jechang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.06a
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    • pp.66-69
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    • 2017
  • 본 논문에서는 프레임율 향상 기법 (Frame Rate Up-Conversion, FRUC)에 사용되는 새로운 움직임 예측(motion estimation)알고리즘을 제시한다. 제안된 알고리즘은 단 방향 움직임 예측(unilateral motion estimation)에 의해 순방향 및 역방향의 움직임 벡터(motion vector)를 독립적으로 추정한다. 움직임 벡터를 찾은 후, weighted motion vector smoothing(WMVS)가 적용된다. 다음으로, 보간 프레임 (interpolated frame)의 관점에서 현재 블록의 인접 블록들의 모션 벡터들을 후보들로 사용하여 현재 블록과 가장 잘 일치하는 움직임 벡터를 찾는다. 그 후, 선택된 움직임 벡터를 현재 블록의 유도 움직임 벡터 (guidance motion vector)로 정한다. 그런 다음 motion vector shifting error 를 없애기 위해 motion vector refinement (MVR)가 진행된다. 마지막 단계에서는 각 움직임 벡터의 신뢰도를 계산하여 순방향 및 역방향 움직임 벡터 중 최종 움직임 벡터를 선택한다.

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Simple Space Vector PWM Scheme for 3-level NPC Inverters Including the Overmodulation Region

  • Lee, Dong-Myung;Jung, Jin-Woo;Kwa, Sang-Shin
    • Journal of Power Electronics
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    • v.11 no.5
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    • pp.688-696
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    • 2011
  • This paper proposes a simple space vector PWM (SVPWM) scheme including overmodulation operation for 3-level NPC (Neutral Point Clamped) Inverters. The proposed scheme features a simple decision and calculation procedure for determining switching times in the overmodulation range by utilizing the duty calculation method used in 2-level inverters and the minimum phase error projection method widely employed in motor drive systems. The proposed scheme does not need to detect the angle of the reference vector or calculate trigonometric functions to determine the magnitude of the voltage vector. The magnitude of the angle of the new reference voltage vector is decided in advance with the help of the Fourier Series Expansion to extend the linearity of the output voltage of 3-level inverters in the overmodulation region. Experimental results demonstrate the validity of the proposed SVPWM scheme including overmodulation operation for 3-level NPC inverters.

Volumetic Error Compensation of a Coordinate Measuring Machine using a Software Method (3차원 좌표 측정기의 Software에 의한 Volumetric 오차 교정)

  • Park, June-Ho;Lee, Eung-Suk;Yang, Jong-Hwa;Cho, So-Hyug
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.4
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    • pp.158-164
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    • 1994
  • A volumetric error compensation method was stueide with measuring systematic error of a Coordinate Measuring Machine(CMM). The volumetric error equations were proposed for a Moving Bridge type CMM. Using the error equations, error vectors in the measuring volume were corrected by a software method. The CMM was controlled by the compensation program separately in the measuring and moving function of the CMM proving. The linear accuracy of the CMM was measured by the Laser Interferometer and compared with the data before the volumetric error compensation. This method was proved as low cost and effective to reduce the systematic error of the CMM, as no hardware modification is required.

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Wild bootstrap Ljung-Box test for autocorrelation in vector autoregressive and error correction models (벡터자기회귀모형과 오차수정모형의 자기상관성을 위한 와일드 붓스트랩 Ljung-Box 검정)

  • Lee, Myeongwoo;Lee, Taewook
    • The Korean Journal of Applied Statistics
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    • v.29 no.1
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    • pp.61-73
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    • 2016
  • We consider the wild bootstrap Ljung-Box (LB) test for autocorrelation in residuals of fitted multivariate time series models. The asymptotic chi-square distribution under the IID assumption is traditionally used for the LB test; however, size distortion tends to occur in the usage of the LB test, due to the conditional heteroskedasticity of financial time series. In order to overcome such defects, we propose the wild bootstrap LB test for autocorrelation in residuals of fitted vector autoregressive and error correction models. The simulation study and real data analysis are conducted for finite sample performance.

Sequential Fault Detection and Isolation for Redundant Inertial Sensor Systems with Uncertain Factors

  • Kim, Jeong-Yong;Yang, Cheol-Kwan;Shim, Duk-Sun
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2594-2599
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    • 2003
  • We consider some problems of the Modified SPRT(Sequential Probability Ratio Test) method for fault detection and isolation of inertial redundant sensor systems and propose an Advanced SPRT method to solve the problems of the Modified SPRT method. One problem of the Modified SPRT method to apply to inertial sensor system comes from the effect of inertial sensor errors such as misalignment, scale factor error and sensor bias in the parity vector, which make the Modified SPRT method hard to be applicable. The other problem is due to the correlation of parity vector components which may induce false alarm. We use a two-stage Kalman filter to remove effects of the inertial sensor errors and propose the modified parity vector and the controlled parity vector which removes the effect of correlation of parity vector components. The Advanced SPRT method is derived form the modified parity vector and the controlled parity vector. Some simulation results are presented to show the usefulness of the Advanced SPRT method to redundant inertial sensor systems.

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Direct Stator Flux Vector Control Strategy for IPMSM using a Full-order State Observer

  • Yuan, Qingwei;Zeng, Zhiyong;Zhao, Rongxiang
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.236-248
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    • 2017
  • A direct stator flux vector control scheme in discrete-time domain is proposed in this paper for the interior permanent magnet synchronous motor (IPMSM) drive to remove the proportional-integral (PI) controller from the direct torque control (DTC) scheme applied to IPMSM and to obtain faster dynamic response and lower torque ripple output. The output of speed outer loop is used as the desired torque angle instead of the desired torque in the proposed scheme. The desired stator flux vector in dq coordinate is calculated with a given amplitude. The state-space equations in discrete-time for IPMSM are established, the actual stator flux vector is estimated in deadbeat manner by a full-order state observer, and then the closed-loop control is achieved by the pole placement. The stator flux error vector is utilized to calculate the reference stator voltage vector. Extracting the angle position and amplitude from the estimated stator flux vector and estimating the output torque are eliminated for the direct feedback control of the stator flux vector. The proposed scheme is comparatively investigated with a PI-SVM DTC scheme by experiment results. Experimental results show the feasibility and advantages of the proposed control scheme.

A Temporal Error Concealment Technique Using The Adaptive Boundary Matching Algorithm (적응적 경계 정합을 이용한 시간적 에러 은닉 기법)

  • 김원기;이두수;정제창
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5C
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    • pp.683-691
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    • 2004
  • To transmit MPEG-2 video on an errorneous channel, a number of error control techniques are needed. Especially, error concealment techniques which can be implemented on receivers independent of transmitters are essential to obtain good video quality. In this paper, prediction of motion vector and an adaptive boundary matching algorithm are presented for temporal error concealment. Before the complex BMA, we perform error concealment by a motion vector prediction using neighboring motion vectors. If the candidate of error concealment is not satisfied, search range and reliable boundary pixels are selected by the temporal activity or motion vectors and a damaged macroblock is concealed by applying an adaptive BMA. This error concealment technique reduces the complexity and maintains a PSNR gain of 0.3∼0.7㏈ compared to conventional BMA.