• Title/Summary/Keyword: Parameters Optimization

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Approximate Optimization of Suspension Mechanism for Outdoor Security Robot using Response Surface Methodology (반응표면법을 이용한 고속 주행용 실외 경비로봇의 현가장치 근사 최적화)

  • Koh, Doo-Yeol;Jeong, Hae-Kwan;Woo, Chun-Kyu;Kim, Soo-Hyun
    • The Journal of Korea Robotics Society
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    • v.5 no.2
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    • pp.135-142
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    • 2010
  • Security robot has gradually developed and deployed in order to protect civilian's lives as well as fortune and subjugate the shortcomings of CCTV which lacks of mobility. We have developed a security robot for outdoor environment and the main purpose of the driving mechanism is to overcome the bumps or projections with high speed. The robot platform consists of 4 omnidirectional wheel-based driving mechanisms and suspension for each driving mechanism. In this paper, principal suspension parameters of outdoor security robot for overcoming obstacles with stability are studied and approximately optimized using Response Surface Methodology (RSM) since it is difficult to find the exact relationship between suspension parameters and the shock, which is significantly associated with stability of the robot, at the robot platform. Simulation using ADAMS is conducted for assessing the feasibility of optimized design parameters.

Optimization Design and Development of the Proportional Pressure Control Valve Analysis Model of Active Body Control (차량 자세제어 시스템의 비례압력제어밸브 해석모델 개발 및 최적화 설계)

  • Kim, Dongmyung;Jang, Joosup;Son, Taekwan
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.7
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    • pp.127-134
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    • 2014
  • Active body control system is an important system for determining the driving stability and ride comfort of the vehicle. Active body control system is composed of a cylinder unit power supply unit, and control valve unit. Control valve is a proportional pressure control valve, the dynamic characteristics of the valve affects the performance of the active body control system. We have developed an analytical model, we analyzed the design parameters of the proportional pressure control valve. Further, by knowing the design parameters effect on the system and to optimize the design parameters, and improved performance of the dynamic properties.

Pressure Control of Electro-Hydraulic Variable Displacement Pump Using Genetic Algorithms (GA를 이용한 전기유압식 가변펌프의 압력제어)

  • 안경관;현장환;조용래;오범승
    • Journal of the Korean Society for Precision Engineering
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    • v.21 no.9
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    • pp.48-55
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    • 2004
  • This study presents a genetic algorithm-based method fur optimizing control parameters in the pressure control of electro-hydraulic pump with variable displacement. Genetic algorithms are general-purpose optimization methods based on natural evolution and genetics and search the optimal control parameters maximizing a measure that evaluates the performance of a system. Four control gains of the PI-PD cascade controller for an electro-hydraulic pressure control system are optimized using a genetic algorithm in the experiment. Optimized gains are confirmed by inspecting the fitness distribution which represents system performance in gain spaces. It is shown that genetic algorithm is an efficient scheme in optimizing control parameters of the pressure control of electro-hydraulic pump with variable displacement.

Plasmonic gold nanodot array optimization on a-Si thin film solar cells using anodic aluminum oxide templates (비정질 실리콘 박막 태양전지 효율 향상을 위한 양극산화 알루미늄 템플레이트을 이용한 플라즈모닉 금 나노점 배열 최적화)

  • Bae, Kyuyoung;Kim, Kyoungsik
    • Transactions of the Society of Information Storage Systems
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    • v.9 no.2
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    • pp.67-71
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    • 2013
  • The fabrication method of plasmonic nanodots on silicon substrate has been developed to improve the efficiency of thin film solar cells. Nanoscale metallic nanodots arrays are fabricated by anodic aluminum oxide (AAO) template mask which can have different structural parameters by varying anodization conditions. In this paper, the structural parameters of gold nanodots, which can be controlled by the diverse structures of AAO template mask, are investigated to enhance the optical properties of a-Si thin film solar cells. It is found that optical properties of the thin film solar cells are improved by finding optimization values of the structural parameters of the gold nanodot array.

Optimal design of wind-induced vibration control of tall buildings and high-rise structures

  • Li, Qiusheng;Cao, Hong;Li, Guiqing;Li, Shujing;Liu, Dikai
    • Wind and Structures
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    • v.2 no.1
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    • pp.69-83
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    • 1999
  • The most common used control device on tall buildings and high-rise structures is active and passive tuned mass damper (ATMD and TMD). The major advantages of ATMD and TMD are discussed. The existing installations of various passive/active control devices on real structures are listed. A set of parameter optimization methods is proposed to determine optimal parameters of passive tuned mass dampers under wind excitation. Simplified formulas for determining the optimal parameters are proposed so that the design of a TMD can be carried out easily. Optimal design of wind-induced vibration control of frame structures is investigated. A thirty-story tall building is used as an example to demonstrate the procedure and to verify the efficiency of ATMD and TMD with the optimal parameters.

An integrated optimal design of energy dissipation structures under wind loads considering SSI effect

  • Zhao, Xuefei;Jiang, Han;Wang, Shuguang
    • Wind and Structures
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    • v.29 no.2
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    • pp.99-110
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    • 2019
  • This paper provides a simple numerical method to determine the optimal parameters of tuned mass damper (TMD) and viscoelastic dampers (VEDs) in frame structure for wind vibration control considering the soil-structure interation (SSI) effect in frequency domain. Firstly, the numerical model of frame structure equipped with TMD and VEDs considering SSI effect is established in frequency domain. Then, the genetic algorithm (GA) is applied to obtain the optimal parameters of VEDs and TMD. The optimization process is demonstrated by a 20-storey frame structure supported by pile group for different soil conditions. Two wind resistant systems are considered in the analysis, the Structure-TMD system and the Structure-TMD-VEDs system. The example proves that this method can quickly determine the optimal parameters of energy dissipation devices compared with the traditional finite element method, thus is practically valuable.

An inverse determination method for strain rate and temperature dependent constitutive model of elastoplastic materials

  • Li, Xin;Zhang, Chao;Wu, Zhangming
    • Structural Engineering and Mechanics
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    • v.80 no.5
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    • pp.539-551
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    • 2021
  • With the continuous increase of computational capacity, more and more complex nonlinear elastoplastic constitutive models were developed to study the mechanical behavior of elastoplastic materials. These constitutive models generally contain a large amount of physical and phenomenological parameters, which often require a large amount of computational costs to determine. In this paper, an inverse parameter determination method is proposed to identify the constitutive parameters of elastoplastic materials, with the consideration of both strain rate effect and temperature effect. To carry out an efficient design, a hybrid optimization algorithm that combines the genetic algorithm and the Nelder-Mead simplex algorithm is proposed and developed. The proposed inverse method was employed to determine the parameters for an elasto-viscoplastic constitutive model and Johnson-cook model, which demonstrates the capability of this method in considering strain rate and temperature effect, simultaneously. This hybrid optimization algorithm shows a better accuracy and efficiency than using a single algorithm. Finally, the predictability analysis using partial experimental data is completed to further demonstrate the feasibility of the proposed method.

ON OPTIMIZATION OF METAL FORMING WITH ADAPTABLE CHARACTERISTICS

  • Gitman, Michael B.;Trusov, Peter V.;Redoseev, Sergei A.
    • Journal of applied mathematics & informatics
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    • v.7 no.2
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    • pp.507-516
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    • 2000
  • In the present paper we consider a problem of choosing the rational way to carry on the metal processing (the problem of stochastic optimization) and the problem of determing the unknown characteristics of parameters described with random variables.

Force-finding of Tensegrity Structure using Optimization Technique

  • Lee, Sang Jin
    • Architectural research
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    • v.17 no.1
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    • pp.31-40
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    • 2015
  • A simple force-finding process based on an optimization technique is proposed for tensegrity structures. For this purpose, the inverse problem of form-finding process is formulated. Therefore, the position vector of nodes and element connectivity information are provided as priori. Several benchmark tests are carried out to demonstrate the performance of the present force-finding process. In particular, the force density distributions of simplex tensegrity are thoroughly investigated with the important parameters such as the radius, height and twisting angle of simplex tensegrity. Finally, the force density distribution of arch tensegrity is produced by using the present force-finding process for a future reference solution.

Modeling and Parameter Optimization of Agile Beam Radar Tracking in Cluttered Environments

  • Hong, Sun-Mog;Jung, Young-Hun
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.99.6-99
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    • 2001
  • The parameter optimization for agile beam radar tracking is addressed to minimize the radar resources that are required to maintain a target under track. The parameters to be optimized include the track-revisit interval and the sequence of pairs of target signal strengths and detection thresholds associated with repeated illumination attempts in each track-revisit. The optimization problem is solved numerically for typical examples.

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