• Title/Summary/Keyword: nonlinear experiments

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Ultimate uniaxial compressive strength of stiffened panel with opening under lateral pressure

  • Yu, Chang-Li;Feng, Ji-Cai;Chen, Ke
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.7 no.2
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    • pp.399-408
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    • 2015
  • This paper concentrated on the ultimate uniaxial compressive strength of stiffened panel with opening under lateral load and also studied the design-oriented formulae. For this purpose, three series of well executed experiments on longitudinal stiffened panel with rectangular opening subjected to the combined load have been selected as test models. The finite element analysis package, ABAQUS, is used for simulation with considering the large elasticplastic deflection behavior of stiffened panels. The feasibility of the numerical procedure is verified by a good agreement of experimental results and numerical results. More cases studies are executed employing nonlinear finite element method to analyze the influence of design variables on the ultimate strength of stiffened panel with opening under combined pressure. Based on data, two design formulae corresponding to different opening types are fitted, and accuracy of them is illustrated to demonstrate that they could be applied to basic design of practical engineering structure.

PID control of left ventricular assist device (PID 제어기를 이용한 좌심실보조장치의 제어)

  • Jeong, Seong-Taek;Kim, Hun-Mo;Kim, Sang-Hyeon
    • Journal of Institute of Control, Robotics and Systems
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    • v.4 no.3
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    • pp.315-320
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    • 1998
  • In this paper, we present the PID control method for the controlling flow rate of highly complicated nonlinear Left Ventricular Assist Device(LVAD) with pneumatically driven mock circulatory system. Beat Rate (BR), Systole-Diastole Rate (SDR) and flow rate are used as the main variables of the LVAD system. System modeling is completed using the neural network with input variables (BR, SDR, their derivatives, actual flow) and an output valiable(actual flow). Then, as the basis of this model, we perform the simulation of PID control to predict the performance and tendency of the system and control the flow rate of LVAD system using the PID controller. The ability and effectiveness of identifying and controlling a LVAD system using the proposed algorithm will be demonstrated through computer simulation and experiments.

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Experimental Study of GA and Heuristic Control Rule based PID Controller for 2-Dimensional Inverted Pendulum (2차원 도립진자를 위한 GA 및 Heuristic한 제어규칙 기반 PID제어기의 실험적 연구)

  • 서강면;강문성
    • Journal of Institute of Control, Robotics and Systems
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    • v.9 no.8
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    • pp.623-631
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    • 2003
  • We have fabricated the two-dimensional inverted pendulum system and designed its controller. The two-dimensional inverted pendulum system, which is composed of X-Y table, is actuated through timing belt by each of two geared DC motors. And the control goal is that the rod is always kept to a vertical position to any distrubance and is quickly moved to the desired position. Because this system has generally nonlinear dynamic characteristics and X-axis and Y-axis move together, it is very difficult to find its exact mathematical model and to design its controller. Therefore, we have designed the PID controller with simple structure and excellent performance. Genetic algorithm(GA), which is blown as one of probabilistic searching methods, and human's heuristic control strategy are introduced to design an optimal PID controller. The usefulness of the proposed GA based PID coefficient searching technique is verified through the experiments and computer simulations.

Robust Impedance Control of Kinematically Redundant Manipulator Based on Disturbance Observer (외란 관측기에 의한 기구학적 여유자유도 매니퓰레이터의 강인한 임피던스 제어)

  • 오용환;오상록;정완균
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.11
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    • pp.963-969
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    • 2002
  • Design method of a robust impedance control is proposed for the kinematically redundant manipulators. To achieve this objective, we first use the momentum feedback disturbance observer(MFDOB) scheme which can handle the nonlinear dynamics of a manipulator in Joint space. An extended task space formulation to describe the behaviors of task and null spaces of redundant manipulator is employed. Using the extended task space formulation and disturbance observer scheme, a robust impedance control method is designed. The performance of the proposed extended impedance controller is verified through experiments with a planar three links direct-drive manipulator.

Characteristics comparison according to operating mode of dynamically tuned gyroscope in the electro-optical tracking system (EOTS에서의 동조자이노스코프의 동작모드에 따른 특성비교)

  • Im, Sung-Woon;Ma, Jin-Suk;Kwon, Woo-Hyen
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.3
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    • pp.311-317
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    • 1997
  • DTG(dynamically tuned gyroscope) is a sensor detecting disturbance in angle velocity control loop of EOTS(electro optical tracking system), which is used for the stabilization of gimbal. DTG is classified into rate mode or rate integrated mode according to operating mode. In this paper, basic principles and characteristics of DTG, depending on to operating mode, are compared and the model of rate integrated mode DTG is proposed. Also, the validity of the presented model is verified by computer simulations and experiments.

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Control for Optical Image Stabilization System in Digital Cameras (디지털 카메라용 이미지 안정화 시스템 제어)

  • Cho, Ju-Yeon;Cho, Woo-Jong;Park, Jung-Ho;Kim, Kyung-Soo
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.5
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    • pp.411-414
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    • 2010
  • As high quality image is required for digital cameras in recent use, the image stabilization technique has drawn much attention to prevent image degradation from shaky disturbance by users. In this paper, the optical image stabilization (OIS) system for DSLR (Digital Single Lens Reflex) camera is considered. First, the analytic model of an OIS system is presented to demonstrate the mechanism of image destabilization due to unknown disturbance that causes blurry images on CCD sensor. Then, to enhance the stabilization performance, a sliding mode control based on the min-max nonlinear control is introduced. Through the experiments and simulations, the effectiveness of the proposed method will be verified.

Adaptive Bilinear Lattice Filter(II)-Least Squares Lattice Algorithm (적응 쌍선형 격자필터 (II) - 최소자승 격자 알고리즘)

  • Heung Ki Baik
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.29B no.1
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    • pp.34-42
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    • 1992
  • This paper presents two fast least-squares lattice algorithms for adaptive nonlinear filters equipped with bilinear system models. The lattice filters perform a Gram-Schmidt orthogonalization of the input data and have very good numerical properties. Furthermore, the computational complexity of the algorithms is an order of magnitude snaller than previously algorithm is an order of magnitude smaller than previously available methods. The first of the two approaches is an equation error algorithm that uses the measured desired response signal directly to comprte the adaptive filter outputs. This method is conceptually very simple`however, it will result in biased system models in the presence of measurement noise. The second approach is an approximate least-squares output error solution. In this case, the past samples of the output of the adaptive system itself are used to produce the filter output at the current time. Results of several experiments that demonstrate and compare the properties of the adaptive bilinear filters are also presented in this paper. These results indicate that the output error algorithm is less sensitive to output measurement noise than the squation error method.

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Speech Recognition Using Recurrent Neural Prediction Models (회귀신경예측 모델을 이용한 음성인식)

  • 류제관;나경민;임재열;성경모;안성길
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.11
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    • pp.1489-1495
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    • 1995
  • In this paper, we propose recurrent neural prediction models (RNPM), recurrent neural networks trained as a nonlinear predictor of speech, as a new connectionist model for speech recognition. RNPM modulates its mapping effectively by internal representation, and it requires no time alignment algorithm. Therefore, computational load at the recognition stage is reduced substantially compared with the well known predictive neural networks (PNN), and the size of the required memory is much smaller. And, RNPM does not suffer from the problem of deciding the time varying target function. In the speaker dependent and independent speech recognition experiments under the various conditions, the proposed model was comparable in recognition performance to the PNN, while retaining the above merits that PNN doesn't have.

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Effect of ethylenediamine tetra acetic acid additive on the nucleation kinetics and growth aspects of L-arginine phosphate single crystals

  • Kumar, R.Mohan;Babu, D.Rajan;Ravi, G.;Jayavel, R.
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.13 no.4
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    • pp.153-156
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    • 2003
  • Pure and Ethylenediaminetetraacetic acid (EDTA) doped L-arginine phosphate (LAP) single crystals were grown from the aqueous solution by temperature lowering method. The effect of EDTA additive on the solubility and metastable zone width of LAP solution has been investigated. Addition of EDTA has enhanced the metastable zone width of LAP and hence bulk crystals could be grown. The growth rate along the [100] direction increases with EDTA additive. Powder X-ray diffraction and FTIR studies reveal the absence of EDTA in the lattice of LAP, This reveals that the addition of EDTA to LAP doesn't influence the crystallinity. However, the transmittance and NLO properties significantly increase with EDTA additive and hence bulk LAP crystals are useful for laser fusion experiments.

Matched filter Using Acoustoelectric Memory Convolver (Acoustoelectric 기억 콘벌버를 이용한 정함필터)

  • 최영호;정영지;황금찬
    • The Journal of the Acoustical Society of Korea
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    • v.3 no.2
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    • pp.13-22
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    • 1984
  • A surface acoustic wave signal processing device using the silicon surface state is presented and shown capable of storing a reference signal and later correlating another signal with the stored reference. The device memory consists of the storage of the spatial 2k pattern of an acoustic wave as stored charges in the surface state of silicon surface. Results of experiments are presented which characterize the operation of device. Simpliied models for charging process and nonlinear acoustoelectric interactions based on consideration of single surface state at the surface of silicon The validity of simplified model has been qualitatibely confirmed with experimental results and the application of this device to aprogrammable matched filter of communication is considered.

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