• Title/Summary/Keyword: Model compensation

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Improvement of the Performance of Hysteresis Compensation in SMA Actuators by Using Inverse Preisach Model in Closed - Loop Control System

  • Ahn Kyoung-Kwan;Kha Nguyen-Bao
    • Journal of Mechanical Science and Technology
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    • v.20 no.5
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    • pp.634-642
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    • 2006
  • The aim of this paper is to increase the performance of hysteresis compensation for Shape Memory Alloy (SMA) actuators by using inverse Preisach model in closed-loop control system. This is used to reduce hysteresis effects and improve accuracy for the displacement of SMA actuators. Firstly, hysteresis is identified by numerical Preisach model implementation. The geometrical interpretation from first order transition curves is used for hysteresis modeling. Secondly, the inverse Preisach model is formulated and incorporated in closed-loop PID control system in order to obtain desired current-to-displacement relationship with hysteresis reducing. The experimental results for hysteresis compensation by using this method are also shown in this paper.

Geometrical Compensation of Injection-Molded Thin-Walled Parts in Reverse Engineering

  • Kim Yeun Sul;Lee Hi Koan;Huang Jing Chung;Kong Young Sik;Yang Gyun Eui
    • International Journal of Precision Engineering and Manufacturing
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    • v.6 no.2
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    • pp.12-18
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    • 2005
  • A geometric compensation of thin-walled molded parts in reverse engineering is presented. Researches in reverse engineering have focused on the fitting of points to curves and surfaces. However, the reconstructed model is not the geometric model because the molded parts have some dimensional errors in measurements and deformation during molding. Geometric information can give an improved accuracy in reverse engineering. Thus, measurement data must be compensated with geometric information to reconstruct the mathematical model. The functional and geometric concepts of the part can be derived from geometric information. LSM (Least square method) is adopted to determine the geometric information. Also, an example of geometric compensation is given to improve the accuracy of geometric model and to inspect the reconstructed model.

On-line model compensation using noise masking effect for robust speech recognition (잡음 차폐를 이용한 온라인 모델 보상)

  • Jung Gue-Jun;Cho Hoon-Young;Oh Yung-Hwan
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.215-218
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    • 2003
  • In this paper we apply PMC (parallel model combination) to speech recognition system online. As a representative of model based noise compensation techniques, PMC compensates environmental mismatch by combining pretrained clean speech models and real-time estimated noise information. This is very effective approach for compensating extreme environmental mismatch but is inadequate to use in on-line system for heavy computational cost. To reduce the computational cost and to apply PMC online, we use a noise masking effect - the energy in a frequency band is dominated either by clean speech energy or by noise energy - in the process of model compensation. Experiments on artificially produced noisy speech data confirm that the proposed technique is fast and effective for the on-line model compensation.

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A novel grey TMD control for structures subjected to earthquakes

  • Z.Y., Chen;Ruei-Yuan, Wang;Yahui, Meng;Timothy, Chen
    • Earthquakes and Structures
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    • v.24 no.1
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    • pp.1-9
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    • 2023
  • A model for calculating structure interacted mechanics is proposed. A structural interaction model and controller design based on tuned mass damping (TMD) was developed to control the induced vibration. A key point is to introduce a new analytical model to evaluate the properties of the TMD that recognizes the motion-dependent nonlinear response observed in the simulations. Aiming at the problem of increased current harmonics and low efficiency of permanent magnet synchronous motors for electric vehicles due to dead time effect, a dead time compensation method based on neural network filter and current polarity detection is proposed. Firstly, the DC components and the higher harmonic components of the motor currents are obtained by virtue of what the neural network filters and the extracted harmonic currents are adjusted to the required compensation voltages by virtue of what the neural network filters. Then, the extracted DC components are used for current polarity dead time compensation control to avert the false compensation when currents approach zero. The neural network filter method extracts the required compensation voltages from the speed component and the current polarity detection compensation method obtains the required compensation voltages by discriminating the current polarity. The combination of the two methods can more precisely compensate the dead time effect of the control system to improve the control performance. Furthermore, based on the relaxed method, the intelligent approach of stability criterion can be regulated appropriately and the artificial TMD was found to be effective in reducing cross-wind vibrations.

Incentive Structures in the Compensation for Public Expropriation (공공수용 보상에 관한 유인체계 분석)

  • Lee, Hojun
    • KDI Journal of Economic Policy
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    • v.33 no.3
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    • pp.121-161
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    • 2011
  • We study incentive structures of public developers and land owners in the process of public expropriations using a sequential game model. In the model, we show that there is an incentive for the public developer to give more compensation than just compensation that are defined by law. Also the model shows that there is an incentive for the land owners to revolt strategically against the public expropriation. Then an ideal authority delegation model is introduced to resolve the problems, where an independent appraiser determines the compensation for the expropriation. In the real world, improving the independence of appraisal process is critical to make the system closer to the ideal authority delegation model. So this paper concludes by making a few policy suggestions to improve the current appraisal system.

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The Derivation of a Model to Estimate Compensation for Damages in Chartered Fisheries by Using CVP Analysis (CVP 분석을 이용한 면허어업 손실보상액 평가 모형의 도출)

  • 정형찬
    • The Journal of Fisheries Business Administration
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    • v.31 no.2
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    • pp.133-153
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    • 2000
  • During the last several decades, Korea has been regarded as one of the fastest growing economies in the world. However, the small size of national land has not met the vigorous demand for land necessary to develop economic infra-structures such as large-scale harbors airports and highways. In order to satisfy the growing demand for land, the Korean government and industry have implemented the national land development programs to reclaim land from the sea fur the several decades. It is certain that these land development programs have resulted in a lot of property disputes between fishermen and public project administrators. This paper is to develop a quantitative model to estimate compensation for damages or restriction of charted fisheries resulting from large-scale public projects. In this paper, the compensation model is derived by using cost-volume-profit analysis framework because the compensation for charted fisheries basically depends on the factors such as the costs, production volume, profit of charted fisheries damaged or restricted by public projects. The model shows that the compensation for damages or restriction of charted fisheries is determined by the average annual profit, damage duration period, and the degree of fishery damages. In addition, the degree of fishery damages measured by the ratio of lost profit to annual average profit turns out to be determined by the following factors: annul profit, unit variable cost, decrease in production volume, the rate of increase in variable cost, and a change in fixed cost. Furthermore, this parer discusses the nam issues related to practices and regulation of the compensation for fishery damages in the current Fishery Act of Korea and suggests some appraisal methods which will be able to lead to theoretically correct and fair compensation for fisheries damages resulting from large-scale public projects.

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Compensation of the Nonlinearity of the High-Power Amplifiers with Memory Using a Digital Feedforward Scheme (디지털 피드포워드 방식을 이용한 메모리 효과가 있는 전력 증폭기의 비선형성 보상)

  • Kim, Min;Shin, Ha-Yeon;Eun, Chang-Soo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.4
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    • pp.9-17
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    • 2012
  • In this paper, we show the memory effect of the high-power amplifiers for wied-band signals, present a compensation method for the nonlinearity combined with memory effect, and analyze its performance. For the modeling and the compensation of the nonlinear high-power amplifier with memory effect, we investigate the Volterra series model, the Wiener model, and the Hammerstein model. As a compensator scheme, we propose a digital feedforward technique. Compared to analog feed-forward scheme, the proposed scheme has better stability and adaptability to the environmental changes. It has a simpler structure than the conventional digital nonlinear compensation schemes. The result of computer simulations using ADS of the Agilent shows that spectral re-growth is suppressed by more than 20 dB, which amounts to at least 10 dB back-off. Considering the compensation performance, implementation complexity, and convergence rate, we could conclude the Wiener model is most suitable for the proposed scheme.

Compensation On-line of Errors Caused by Rotor Centrifugal Deformation for a Magnetically Suspended Sensitive Gyroscope

  • Xin, Chao-Jun;Cai, Yuan-Wen;Ren, Yuan;Fan, Ya-Hong
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.1030-1041
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    • 2018
  • The aim of this paper is to design a centrifugal deformation error compensation method with guaranteed performance that allows angular velocity measurement of the magnetically suspended sensitive gyroscopes (MSSGs). The angular velocity measurement principle and the structure of the MSSG are described, and the analytical model of errors caused by MSSG rotor centrifugal deformation is established. Then, an on-line rotor centrifugal deformation error compensation method based on measurement of rotor spinning speed in real-time has been designed. The common issues caused by centrifugal deformation of spinning rotors can be effectively resolved by the proposed method. Comparative experimental results before and after compensation demonstrate the validity and superiority of the error compensation method.

Comparative Study on Illumination Compensation Performance of Retinex model and Illumination-Reflectance model (레티넥스 모델과 조명-반사율 모델의 조명 보상 성능 비교 연구)

  • Chung, Jin-Yun;Yang, Hyun-Seung
    • Journal of KIISE:Software and Applications
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    • v.33 no.11
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    • pp.936-941
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    • 2006
  • To apply object recognition techniques to real environment, illumination compensation method should be developed. As effective illumination compensation model, we focused our attention on Retinex model and illumination-Reflectance model, implemented them, and experimented on their performance. We implemented Retinex model with Single Scale Retinex, Multi-Scale Retinex, and Retinex Neural Network and Multi-Scale Retinex Neural Network, neural network model of Retinex model. Also, we implemented illumination-Reflectance model with reflectance image calculation by calculating an illumination image by low frequency filtering in frequency domain of Discrete Cosine Transform and Wavelet Transform, and Gaussian blurring. We compare their illumination compensation performance to facial images under nine illumination directions. We also compare their performance after post processing using Principal Component Analysis(PCA). As a result, illumination Reflectance model showed better performance and their overall performance was improved when illumination compensated images were post processed by PCA.

A Multi-Model Based Noisy Speech Recognition Using the Model Compensation Method (다 모델 방식과 모델보상을 통한 잡음환경 음성인식)

  • Chung, Young-Joo;Kwak, Seung-Woo
    • MALSORI
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    • no.62
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    • pp.97-112
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    • 2007
  • The speech recognizer in general operates in noisy acoustical environments. Many research works have been done to cope with the acoustical variations. Among them, the multiple-HMM model approach seems to be quite effective compared with the conventional methods. In this paper, we consider a multiple-model approach combined with the model compensation method and investigate the necessary number of the HMM model sets through noisy speech recognition experiments. By using the data-driven Jacobian adaptation for the model compensation, the multiple-model approach with only a few model sets for each noise type could achieve comparable results with the re-training method.

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