• 제목/요약/키워드: Linear electronic

검색결과 1,644건 처리시간 0.032초

Implementation of Thrust Ripple Reduction for a Permanent Magnet Linear Synchronous Motor Using an Adaptive Feed Forward Controller

  • Baratam, Arundhati;Karlapudy, Alice Mary;Munagala, Suryakalavathi
    • Journal of Power Electronics
    • /
    • 제14권4호
    • /
    • pp.687-694
    • /
    • 2014
  • This paper focuses on the analysis and compensation of thrust ripples in permanent magnet linear synchronous motors (PMLSM). The main drawback in PMLSMs is the presence of thrust ripples, which are mainly due to the interaction between the permanent magnets and armature slotted core. These thrust ripples reduce the performance of the drive system in high precision applications especially at low speeds. This paper analyzes thrust ripples using the discrete wavelet transform. These undesired thrust ripples are compensated by using an adaptive feed forward controller. It is observed that this novel controller reduces about 65 percent of the thrust ripples. An extensive simulation is performed through MATLAB and it is validated through experimental results using a d-SPACE system with a DS1104 control board.

다중채널 뇌파를 이용한 감정상태 분류에 관한 연구 (A Study on the Emotion State Classification using Multi-channel EEG)

  • 강동기;김흥환;김동준;이병채;고한우
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2001년도 하계학술대회 논문집 D
    • /
    • pp.2815-2817
    • /
    • 2001
  • This study describes the emotion classification using two different feature extraction methods for four-channel EEG signals. One of the methods is linear prediction analysis based on AR model. Another method is cross-correlation coefficients on frequencies of ${\theta}$, ${\alpha}$, ${\beta}$ bands. Using the linear predictor coefficients and the cross-correlation coefficients of frequencies, the emotion classification test for four emotions, such as anger, sad, joy, and relaxation is performed with a neural network. Comparing the results of two methods, it seems that the linear predictor coefficients produce the better results than the cross-correlation coefficients of frequencies for-emotion classification.

  • PDF

누설 및 프린징 자속을 고려한 종자속형 자기부상 전자석의 힘 특성 해석 (Analysis on the Force Characteristics of the Longitudinal Flux Type Electromagnet considering the Leakage and Fringing Flux)

  • 유주성;권두진;이준병;백효선;조한욱
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2011년도 제42회 하계학술대회
    • /
    • pp.101-102
    • /
    • 2011
  • The attraction force is an important parameter for permanent-magnet(PM) linear machines. This paper aims to analysis lumped magnetic circuit model of a magnetic levitation system. It accounts for the fringing effect and leakage flux which may greatly affect the accuracy of the analytical model for the optimal lumped magnetic circuit model. consequentially it will be able to apply to prospective permanent-magnet(PM) linear machines for accurate analysis.

  • PDF

헬리콥터 시스템의 퍼지 분산 제어기 설계 (A Decentralized Fuzzy Controller for Experimental Nonlinear Helicopter Systems)

  • 김문환;이호재;박진배;차대범;주영훈
    • 한국지능시스템학회:학술대회논문집
    • /
    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
    • /
    • pp.141-144
    • /
    • 2001
  • This paper proposes a decentralized control technique for 2-dimensional experimental helicopter systems. The decentralized control technique is especially suitable in large-scale control systems. We derive the stabilization condition for the interconnected Takagi-Sugeno (75) fuzzy system using the rigorous tool - Lyapunov stability criterion and formulate the controller design condition in terms of linear matrix inequality (LMI). To demonstrate the feasibility of the proposed method, we include the experiment result as well as a computer simulation one, which strongly convinces us the applicability to the industry.

  • PDF

Radial basis function 회로망을 이용한 새로운 신경망 선형화 제어구조 (A new neural linearizing control scheme using radial basis function network)

  • 김석준;이민호;박선원;이수영;박철훈
    • 제어로봇시스템학회논문지
    • /
    • 제3권5호
    • /
    • pp.526-531
    • /
    • 1997
  • To control nonlinear chemical processes, a new neural linearizing control scheme is proposed. This is a hybrid of a radial basis function(RBF) network and a linear controller, thus the control action applied to the process is the sum of both control actions. Firstly, to train the RBF newtork a linear reference model is determined by analyzing the past operating data of the process. Then, the training of the RBF newtork is iteratively performed to minimize the difference between outputs of the process and the linear reference model. As a result, the apparent dynamics of the process added by the RBF newtork becomes similar to that of the linear reference model. After training, the original nonlinear control problem changes to a linear one, and the closed-loop control performance is improved by using the optimum tuning parameters of the linear controller for the linear dynamics. The proposed control scheme performs control and training simultaneously, and shows a good control performance for nonlinear chemical processes.

  • PDF

선형 대향 타겟 스퍼터를 이용하여 제작한 ITO 박막의 특성과 이를 이용하여 제작한 유기발광소자 특성 (Characteristics of ITO films grown by linear facing target sputtering (FTS) and OLEDs properties fabricated on FTS-grown ITO anode)

  • 김한기;문종민;김지환;김장주;강재욱
    • 한국전기전자재료학회:학술대회논문집
    • /
    • 한국전기전자재료학회 2007년도 하계학술대회 논문집 Vol.8
    • /
    • pp.401-402
    • /
    • 2007
  • The preparation and characteristics of ITO anode films grown using a linear facing target sputtering (FTS) technique for use in organic light emitting diodes (OLED) and flexible OLED is described. The electrical, optical, and work function of the ITO anode, which was prepared by linear FTS at room temperature, were comparable to those of commercial ITO anode films. In particular, linear FTS-grown ITO films shows very smooth surface without defects such as pin hole and cracks due to low substrate temperature. Furthermore OLED with the linear FTS-grown ITO anode film shows comparable electrical and optical properties to those of OLED with the commercial crystalline-ITO anode film. This suggested that linear FTS is promising thin film technology for preparing high quality anode film in OLEDs and flexible OLEDs.

  • PDF

Active vibration robust control for FGM beams with piezoelectric layers

  • Xu, Yalan;Li, Zhousu;Guo, Kongming
    • Structural Engineering and Mechanics
    • /
    • 제67권1호
    • /
    • pp.33-43
    • /
    • 2018
  • The dynamic output-feedback robust control method based on linear matrix inequality (LMI) method is presented for suppressing vibration response of a functionally graded material (FGM) beam with piezoelectric actuator/sensor layers in this paper. Based on the reduced model obtained by using direct mode truncation, the linear fractional state space representation of a piezoelectric FGM beam with material properties varying through the thickness is developed by considering both the inherent uncertainties in constitution material properties as well as material distribution and the model error due to mode truncation. The dynamic output-feedback robust H-infinity control law is implemented to suppress the vibration response of the piezoelectric FGM beam and the LMI method is utilized to convert control problem into convex optimization problem for efficient computation. In numerical studies, the flexural vibration control of a cantilever piezoelectric FGM beam is considered to investigate the accuracy and efficiency of the proposed control method. Compared with the efficient linear quadratic regulator (LQR) widely employed in literatures, the proposed robust control method requires less control voltage applied to the piezoelectric actuator in the case of same control performance for the controlled closed-loop system.

퍼지집합 기반 진화론적 최적 퍼지다항식 뉴럴네트워크 (Genetically Optimized Fuzzy Polynomial Neural Networks Based on Fuzzy Set)

  • 박병준;박건준;오성권
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2003년도 하계학술대회 논문집 D
    • /
    • pp.2633-2635
    • /
    • 2003
  • In this study, we propose a fuzzy polynomial neural networks (FPNN) and a genetically optimized fuzzy polynomial neural networks(GoFPNN) for identification of non-linear system. GoFPNN architecture is designed by a FPNN based on fuzzy set and its structure and parameters are optimized by genetic algorithms. A fuzzy neural networks(FNN) based on fuzzy set divide into two structures that is simplified inference structure and linear inference structure. The proposed FPNN is resulted from integration and extension of simplified and linear inference structure of FNN. The consequence structure of the FPNN consist of polynomials represented by networks using connection weights for rules. The networks comprehend simplified(Type 0), linear (Type 1), and quadratic(Type 3) inferences. The proposed FPNN can select polynomial type of consequence part for each rule. Therefore, proposed scheme can offer flexible structure design capability for a system characteristics. Moreover, GAs is applied to networks structure and parameters tuning of proposed FPNN, and its efficient application method is discussed, these subjects are result in GoFPNN that is optimal FPNN. To evaluate proposed model performance, a numerical experiment is carried out.

  • PDF

Linear and Nonlinear Optical Properties of Vanadium Pentoxide Films Prepared by Pulsed-Laser Deposition

  • Cui, Liqi;Wang, Ruiteng;Wang, Weitian
    • 한국재료학회지
    • /
    • 제31권7호
    • /
    • pp.382-385
    • /
    • 2021
  • Well-crystallized vanadium pentoxide V2O5 thin films are fabricated on MgO single crystal substrates by using pulsed-laser deposition technique. The linear optical transmission spectra are measured and found to be in a wavelength range from 300 to 800 nm; the data are used to determine the linear refractive index of the V2O5 films. The value of linear refractive index decreases with increasing wavelength, and the relationship can be well explained by Wemple's theory. The third-order nonlinear optical properties of the films are determined by a single beam z-scan method at a wavelength of 532 nm. The results show that the prepared V2O5 films exhibit a fast third-order nonlinear optical response with nonlinear absorption coefficient and nonlinear refractive index of 2.13 × 10-10 m/W and 2.07 × 10-15 cm2/kW, respectively. The real and imaginary parts of the nonlinear susceptibility are determined to be 3.03 × 10-11 esu and 1.12 × 10-11 esu, respectively. The enhancement of the nonlinear optical properties is discussed.

Testing and experimental characterization of a linear permanent magnet actuator for active vehicle suspension

  • Wang, Jiabin;Wang, Weiya
    • Journal of international Conference on Electrical Machines and Systems
    • /
    • 제1권4호
    • /
    • pp.509-516
    • /
    • 2012
  • This paper describes the testing and experimental characterization of a linear permanent magnet actuator, which is designed and developed for active vehicle suspension, under both static and dynamic conditions. Since the active suspension unit operates over a wide force-velocity range with varying duty ratios, it is essential to establish an effective thermal model which can be used for assessing temperature rise of the actuator under various operating conditions. The temperature rise of the actuator is measured and the results are compared with the prediction by the derived transient thermal model. It is shown that the measured actuator parameters and characteristics are closed to their predicted values. The linear actuator is controlled by a dSPACE system via a three phase inverter and its velocity tracking performance is presented.