• Title/Summary/Keyword: load uncertainty

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Life Cycle Cost Optimization Considering Maintenance History of Bridge Beck and Girders (바닥판과 주형의 유지보수 이력을 고려한 LCC 최적설계)

  • Ahn Ye-Jun;Lee Hyun-Sub;Shin Yung-Seok;Park Jang-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2005.04a
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    • pp.719-726
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    • 2005
  • The optimal design was performed for the bridge superstructure composed of steel box girders and concrete deck considering life cycle cost. The service life of the superstructure was estimated, after load carry capacity curves for steel girder and concrete deck were derived on the basis of condition grade curves and maintenance histories. The object function was determined as life cycle cost, including initial cost, total maintenance cost, disposal cost and user cost, for a period of the estimated service life. The optimal design of the superstructure was performed for the various service lifes. The annual costs were used to compare calculated results and to get the most economical design. Also this paper presents reasonable idea for the use of user cost with uncertainty.

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Control Strategy for Buck DC/DC Converter Based on Two-dimensional Hybrid Cloud Model

  • Wang, Qing-Yu;Gong, Ren-Xi;Qin, Li-Wen;Feng, Zhao-He
    • Journal of Electrical Engineering and Technology
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    • v.11 no.6
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    • pp.1684-1692
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    • 2016
  • In order to adapt the fast dynamic performances of Buck DC/DC converter, and reduce the influence on converter performance owing to uncertain factors such as the disturbances of parameters and load, a control strategy based on two-dimensional hybrid cloud model is proposed. Firstly, two cloud models corresponding to the specific control inputs are determined by maximum determination approach, respectively, and then a control rule decided by the two cloud models is selected by a rule selector, finally, according to the reasoning structure of the rule, the control increment is calculated out by a two-dimensional hybrid cloud decision module. Both the simulation and experiment results show that the strategy can dramatically improve the dynamic performances of the converter, and enhance the adaptive ability to resist the random disturbances, and its control effect is superior to that of the current-mode control.

Probability-based design charts for stone column-improved ground

  • Deb, Kousik;Majee, Anjan
    • Geomechanics and Engineering
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    • v.7 no.5
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    • pp.539-552
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    • 2014
  • A simplified probability-based design charts for stone column-improved ground have been presented based on the unit cell approach. The undrained cohesion ($c_u$) and coefficient of radial consolidation ($c_r$) of the soft soil are taken as the most predominant random variables. The design charts are developed to estimate the diameter of the stone column or the spacing between the stone columns by employing a factored design value of $c_r$ and $c_u$ so as to satisfy a specific probability level of the target degree of consolidation and/or a target safe load that needs to be achieved in a specified timeframe. The design charts can be used by the practicing engineers to design the stone column-improved ground by considering consolidation and /or bearing capacity of the improved ground.

A Robust Sensorless Vector Control System for Induction Motors

  • Huh Sung-Hoe;Choy Ick;Park Gwi-Tae
    • Proceedings of the KIPE Conference
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    • 2001.10a
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    • pp.443-447
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    • 2001
  • In this paper, a robust sensorless vector control system for induction motors with a speed estimator and an uncertainty observer is presented. At first, the proposed speed estimator is based on the MRAS(Mode Reference Adaptive System) scheme and constructed with a simple fuzzy logic(FL) approach. The structure of the proposed FL estimator is very simple. The input of the FL is the rotor flux error difference between reference and adjustable model, and the output is the estimated incremental rotor speed Secondly, the unmodeled uncertainties such as parametric uncertainties and external load disturbances are modeled by a radial basis function network(RBFN). In the overal speed control system, the control inputs are composed with a norminal control input and a compensated control input, which are from RBFN observer output and the modeling error of the RBFN, repectively. The compensated control input is derived from Lyapunov unction approach. The simulation results are presented to show the validity of the proposed system.

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Reliability Based Stability Analysis and Design Criteria for pile Foundation (신뢰성이론에 의한 말뚝기초의 안정해석 및 설계규준)

  • 이증빈;김영인;박철수;이정식;신형우
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 1991.10a
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    • pp.102-107
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    • 1991
  • This study a reliability based design criteria for the Pile foundation, Which is common type of bridge founfation, and also proposes the theoretical bases limit state equations of stalbility analvsis of Pile foundation and the uncertainty measuring algorithms of each equation are also derived by MFOSM using the pile reations of displacement method, Terzaghi's bearing capacity formula, and chang's lateral load formula. The Level of uncertainties comesponding to these algorithms are proposed approprite values considering our actuality. It may be asserted that the proposed LRFD reliability based design criteria for the pile foundation may have to be incorporated in to the current Highway Bridge Design codes as a design provision corresponding to the USD(or LFD) provisions of the current Highway Bridge Design Code.

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Real Time Control for the Position and Velocity of Robot Manipulator With Parameter Uncertainties (不確實性을 고려한 로보트 매니퓰레이터의 位置 및 速度에 대한 實時間 制御)

  • Lee, Gang-Du;Kim, Gyeong-Nyeon;Han, Seong-Hyeon;Lee, Jin;Lee, Jong-Nyeon;Kim, Hwi-Dong
    • Journal of Ocean Engineering and Technology
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    • v.9 no.2
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    • pp.30-40
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    • 1995
  • In this paper, it is proposed a robust control scheme for real time control of a robot manipulator with parameter uncertainties. The focus of this paper is a new approach of multivariable control schemes for an assembly robot manipulator to achieve the accurate trajectory tracking by joint angles. The proposed control scheme consists of a multivariable feedforward controller and feedback controller. In this control scheme, the feedback controller consists of proportional-derivative type and is designed by the pole placement method. The feedforward controller uses the inverse of the linealized model of robot manipulator dynamics. This feedback controller ensures that each joint enables to track any reference trajectory. The proposed robot controller scheme has a computational efficiency.

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High Performance Control of Induction Motor Drive using FNPPI Controller (FNPPI 제어기를 이용한 유도전동기 드라이브의 고성능 제어)

  • Lee, Jin-Kook;Ko, Jae-Sub;Kang, Seong-Jun;Jang, Mi-Geum;Kim, Soon-Young;Mun, Ju-Hui;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.1097-1098
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    • 2011
  • This paper proposes high performance control of induction motor drive using fuzzy neural network precompensation PI(FNPPI) controller. To apply industrial processes, control methods is requested technique that can be demonstrate high performance and robust about load disturbance, parameter variation and uncertainty of model, etc. The PI controller dose not show satisfactory performance due to fixed gain. Therefore, this paper proposes FNPPI which is adjusted input values of PI controller according to operating conditions of motor by FNN controller mixed neural network and fuzzy. And this paper proves validity of proposed control algorithm through result analysis.

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Optimal Design of Rubble Mound Breakwater Used by Partial Safety Factor Method (부분안전계수를 이용한 경사식 방파제의 최적설계기법)

  • 이동훈;민석진;김성득
    • Journal of Ocean Engineering and Technology
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    • v.17 no.6
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    • pp.23-31
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    • 2003
  • As there are so many uncertainties associated with using the determinism analysis method in the design of rubble mound breakwater, it is impossible for a designed construction to provide ultimate stability. First of all, due to the uncertainty of Load and Resistance, a safety level concerning the destruction mode of construction must be given. Then, the optimization design should be processed. After all, we can say that it is a more reasonable design method than the design used by the stability rate. In this study, an established design process is accomplished using Hudson's equation and an economic analysis with the breakwater's section is also conducted. Hudson's equation is compared to Van der Meer's equation. These results are utilized to drop a damage rate, increase the stability of construction, and determine the optimization section of the breakwater.

Anti-sway Control for Crane System Using Two Degree of Freedom Servo Controller (2자유도 서보제어기를 이용한 크레인의 Anti-sway 제어)

  • 이진우;여태경;김환성;김상봉
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.555-558
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    • 1995
  • In designing the anti-sway controller for crane system in the industrial field, one of the basic problem is to keep the stability of system, even if the mathematical model of the plant is not exact and disturbance exists. Form this point of view, a two-degree-of-freedom(2DOF) servo controller effact to the system in which the integral compensation is effctive only when a modeling error and/or a disturbance input exist. In this paper, the change of load weight and variation of wire rope length considered as the structured uncertainty, and design the 2DOF servo contorller using independently the informations of reference signal and control output with both feedforward and feedback. The effectivenss is proved through the results for the anti-sway system in the system with the position control of trolley.

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Risk-based Optimal Transmission Expansion Planning (위험도기반 최적송전확장계획)

  • Son, Min-Kyun;Kim, Dong-Min;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.393-395
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    • 2006
  • In competitive market, it is important to establish a plan of transmission expansion considering uncertainty of future generation and load behavior. For this reason, revised transmission expansion model is proposed in this paper. In the proposed model, information of predictable future condition are included in a cost function of transmission expansion investment. Also, to reduce risk of the investment, mean-variance Markowitz approach is added to the objective function of cost. By optimization programming, the most robust and the minimum cost plan can be obtained.

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