• Title/Summary/Keyword: Evolution Strategy(ES)

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Development of the Weight Reduction Program for Corrugated Bulkheads of a Product Oil Carrier (정유운반선 파형격벽에 대한 경량화 프로그램 개발)

  • Shin, Sang-Hoon;Ko, Dae-Eun
    • Journal of the Society of Naval Architects of Korea
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    • v.46 no.3
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    • pp.279-289
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    • 2009
  • For a Product Oil Carrier, longitudinal bulkhead as well as transverse one is corrugated shape in general and intersection part of bulkheads is utilized for a pipe trunk. Since lower and upper stools are to be connected with all of longitudinal and transverse bulkheads, they have a uniform height respectively. The purpose of this study is the development of design system for the minimization of total weight of longitudinal and transverse bulkheads at the initial design stage. In this study, the beam element models for longitudinal and transverse corrugated bulkheads are established and they are applied to the structural analysis. For the practical design, the selection and the position of an additional pipe trunk are considered in this study. In addition the required minimum distance between the bracket installed along the web of corrugation at lower stool and the diaphragm is taken into consideration during optimization process. Evolution strategy(ES) is adopted as an optimization technique.

Comparison analysis of superconducting solenoid magnet systems for ECR ion source based on the evolution strategy optimization

  • Wei, Shaoqing;Lee, Sangjin
    • Progress in Superconductivity and Cryogenics
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    • v.17 no.2
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    • pp.36-40
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    • 2015
  • Electron cyclotron resonance (ECR) ion source is an essential component of heavy-ion accelerator. For a given design, the intensities of the highly charged ion beams extracted from the source can be increased by enlarging the physical volume of ECR zone [1]. Several models for ECR ion source were and will be constructed depending on their operating conditions [2-4]. In this paper three simulation models with 3, 4 and 6 solenoid system were built, but it's not considered anything else except the number of coils. Two groups of optimization analysis are presented, and the evolution strategy (ES) is adopted as an optimization tool which is a technique based on the ideas of mutation, adaptation and annealing [5]. In this research, the volume of ECR zone was calculated approximately, and optimized designs for ECR solenoid magnet system were presented. Firstly it is better to make the volume of ECR zone large to increase the intensity of ion beam under the specific confinement field conditions. At the same time the total volume of superconducting solenoids must be decreased to save material. By considering the volume of ECR zone and the total length of solenoids in each model with different number of coils, the 6 solenoid system represented the highest coil performance. By the way, a certain case, ECR zone volume itself can be essential than the cost. So the maximum ECR zone volume for each solenoid magnet system was calculated respectively with the same size of the plasma chamber and the total magnet space. By comparing the volume of ECR zone, the 6 solenoid system can be also made with the maximum ECR zone volume.

Study on Local Path Control Method based on Beam Modeling of Obstacle Avoidance Sonar (장애물회피소나 빔 모델링 기반의 국부경로제어 기법 연구)

  • Kim, Hyun-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.2
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    • pp.218-224
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    • 2012
  • Recently, as the needs of developing the micro autonomous underwater vehicle (AUV) are increasing, the acquisition of the elementary technology is urgent. While they mostly utilizes information of the forward looking sonar (FLS) in conventional studies of the local path control as an elementary technology, it is desirable to use the obstacle avoidance sonar (OAS) because the size of the FLS is not suitable for the micro AUV. In brief, the local path control system based on the OAS for the micro AUV operates with the following problems: the OAS offers low bearing resolution and local range information, it requires the system that has reduced power consumption to extend the mission execution time, and it requires an easy design procedure in terms of its structures and parameters. To solve these problems, an intelligent local path control algorithm based on the beam modeling of OAS with the evolution strategy (ES) and the fuzzy logic controller (FLC), is proposed. To verify the performance and analyze the characteristic of the proposed algorithm, the course control of the underwater flight vehicle (UFV) is performed in the horizontal plane. Simulation results show that the feasibility of real application and the necessity of additional work in the proposed algorithm.

Design of a Fuzzy Logic Controller Using an Adaptive Evolutionary Algorithm for DC Series Motors (적응진화 알고리즘을 사용한 DC 모터 퍼지 제어기 설계에 관한 연구)

  • Kim, Dong-Wan;Hwang, Gi-Hyun;Lee, Jae-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.5
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    • pp.1019-1028
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    • 2007
  • In this paper, adaptive evolutionary algorithm(AEA) is proposed, which uses both genetic algorithm(GA) with good global search capability and evolution strategy(ES) with good local search capability in an adaptive manner, when population evolves to the next generation. In the reproduction procedure, proportion of the population for GA and ES is adaptively determined according to their fitness. The AEA is used to design membership functions and scaling factors of the fuzzy logic controller(FLC). To evaluate the performance of the proposed FLC design method, we make an experiment on the FLC for the speed control of an actual DC series motor system with nonlinear characteristics. Experimental results show that the proposed controller has better performance than PD controller.

Optimization of TEM Cell Using Evolution Strategy (진화 알고리즘을 이용한 TEM CELL의 최적설계)

  • Chae, Soo-Jeong;Kang, No-Weon;Jung, Hyun-Kyo;Choi, Kyung
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.2 no.1
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    • pp.45-51
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    • 2003
  • 본 논문에서는 TEM Cell 의 최적 설계방법을 제안한다. 임피던스 부정합을 최소화 시키기 위해 Cell 내부의 특성 임피던스를 $50{\Omega}$으로 유지하며, 동시에 중심 도체판(septum)의 길이와 도체판 날개(winglet)의 각을 변화 시킴으로써 내부 전자파의 균일도(Uniformity)를 최대로 하는 TEM Cell의 최적설계방법을 제안하며 (1+1)ES를 적용하여 시험영역을 최대로 하는 최적 설계 변수들을 제시한다.

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A Design of Fuzzy Logic Controllers for High-Angle-of-Attack Flight Control of Aircraft Using Adaptive Evolutionary Algorithms (적응진화 알고리즘을 이용한 항공기의 고공격각 비행 제어를 위한 퍼지 제어기 설계)

  • Won, Taep-Hyun;Hwang, Gi-Hyun;Park, June-Ho;Lee, Man-Hyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.11
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    • pp.995-1002
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    • 2000
  • In this paper, fuzzy logic controllers(FLC) are designed for control of flight. For tuning FLC, we used adaptive evolutionary algorithms(AEA) which uses a genetic algorithm(GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary computations. We used AEA to search for optimal settings of the membership functions shape and gains of the inputs and outputs of FLC. Finally, the proposed controller is applied to the high-angle-of-attack flight system for a supermaneuverable version of the f-18 aircraft and compares with other methods.

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Design of Fuzzy Logic Controller of HVDC using an Adaptive Evolutionary Algorithm (적응진화 알고리즘을 이용한 초고압 직류계통의 퍼지제어기 설계)

  • Choe, Jae-Gon;Hwang, Gi-Hyeon;Park, Jun-Ho
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.49 no.5
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    • pp.205-211
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    • 2000
  • This paper presents an optimal design method for fuzzy logic controller (FLC) of HVDC using an Adaptive Evolutionary Algorithm(AEA). We have proposed the AEA which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner in order to take merits of two different evolutionary algorithms. The AEA is used for tuning fuzzy membership functions and scaling constants. Simulation results show that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when AC system load changes suddenly.

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A Design of Artifical Neural Network Power System Stabilizer Using Adaptive Evolutionary Algorithm (적응진화알고리즘을 이용한 신경망-전력계통안정화장치의 설계)

  • Park, Je-Young;Choi, Jae-Gon;Hwang, Gi-Hyun;Park, J.H.
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1177-1179
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    • 1999
  • This paper presents a design of artificial neural network power system stabilizer(ANNPSS) using adaptive evolutionary algorithm(AEA). We have proposed an adaptive evolutionary algorithm which uses both a genetic algorithm(GA) and an evolution strategy(ES), useing the merits of two different evolutionary computations. ANNPSS shows better control performances than conventional power system stabilizer(CPSS) in three-phase fault with heavy load which is used when tuning ANNPSS. To show the robustness of the proposed ANNPSS, it is applied to damp the low frequency oscillation caused by disturbances such as three-phase fault with normal and light load. the proposed ANNPSS shows better robustness than CPSS.

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A Design of Stabilization Controller with Road Profile Detector for Aiming Performance Improvment of Moving Vehicle. (특수 차량의 기동간 조준정확도 향상을 위한 노면에 적응하는 안정화 제어기 설계)

  • Kim, Dae-Jun;Kim, Han-Su;Jung, Sun-Yong;Choi, Young-Kiu;Kim, Sung-Shin
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.841-843
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    • 1999
  • This paper presents a design of stabilization controller for combat vehicle. A Stabilization system reject disturbances while vehicle moving. The conventional stabilization controller used to constant gain. We can improve the aiming performance by appropriate controller gain. We can find the proper controller gain for road frequencies by evolution strategy(ES). The relationship between the frequencies and proper control gains are generalized by use of the neural network. The road frequency estimated by wavelet transform of disturbance signal. The simulation result show that proposed controller is superior to the conventional stabilization controller.

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Design of Fuzzy-PD controller for Inverted Pendulum Using Adaptive Evolutionary Computation (도립진자의 각도 및 위치제어를 위한 적응진화연산을 이용한 퍼지-PD제어기 설계)

  • Son, W.K.;Kim, Hyung-Su;Mun, Kyeong-Jun;Hwang, Gi-Hyun;Park, J.H.
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.490-492
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    • 1998
  • In this paper, fuzzy-PD control system is designed to control angle and position of the inverted pendulum. To optimize parameters of fuzzy-PD controller, we used adaptive evolutionary computation(AEC). AEC uses a Genetic A1gorithm(GA) and an Evolution Strategy(ES) in an adaptive manner in order to take merits of two different evolutionary computations.

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