• Title/Summary/Keyword: Optimizing Parameters

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Taguchi 방법을 이용한 STD61의 표면거칠기에 대한 볼 엔드 밀링 파라미터 최적화 (The Optimization of Ball End-Milling Parameters on the Surface Roughness of STD61 Steel using the Taguchi Method)

  • 아흐매드파루크;변지현;박기문;고태조
    • 한국기계가공학회지
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    • 제16권4호
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    • pp.153-158
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    • 2017
  • When considering the proper function and life cycle length of a product, its surface finish plays an important role. This experimental study was carried out to understand the effect of input factors on surface roughness and how it can be minimized by controlling the input parameters. This experimental work was performed by machining the surface of STD 61 blocks with a surface inclined at $30^{\circ}$ by ball end-milling and optimizing the input parameters using the Taguchi technique. Signal-to-Noise (S/N) ratio and analysis of variance (ANOVA) were applied to find the significance of the input parameters. The optimum level of input parameters to minimize surface roughness was obtained.

GA를 이용한 4족 보행로봇의 걸음새 자동 생성 및 성능향상 (Automatic Gait Generation for Quadruped Robot Using GA with an Enhancement of Performance)

  • 서기성;최준석;조영완
    • 한국지능시스템학회논문지
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    • 제18권4호
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    • pp.555-561
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    • 2008
  • GA 기반의 4족 보행로봇의 걸음새의 속도와 안정성을 최적화하는 걸음새의 자동 생성 방법을 구현한다. 기존에 사용된 걸음새 파라미터 집합에서 중요 파라미터의 영향을 분석하였고, 이를 통해 효율적인 탐색 방향을 설정하였다. 또한 속도 위주의 기존 연구와는 달리 반 정확도가 수반된 결과를 얻도록 하였다. 제안된 기법의 검증을 위하여 SONY Aibo 4족 보행 로봇에 대해서 ODE 기반의 물리적 특성을 포함한 정교한 시뮬레이션이 가능한 Webots 을 이용하여 실험을 수행하였고, 속도와 안정성 면에서 향상된 결과를 얻었다.

지능형 PID 제어기 개발에 관한 연구 II (A Study of the Development of an Intelligent PID Cjontroller(II))

  • 유연운;이창구;김성중
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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    • pp.847-852
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    • 1993
  • In this paper, we present a recursive algorithm for the auto-tuning of PID controllers by optimizing a GPC criterion. Also, we develop an intelligent PID controller by combination of a recursive algorithm together with a supervisor, that allows to adjust the main controller parameters (prediction horizon, control weighting, sample time etc.) using some simple rules which is mainly built up through relay tuning experiments. The intelligent PID controller has been implemented successfully on an IBM PC/AT and some simulation results are presented.

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유전자 알고리즘을 이용한 Ball-Beam 시스템의 제어에 관한 연구 (A study of ball-beam system control using genetic algorithms)

  • 이남기;박종범;조황
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.968-971
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    • 1996
  • In this paper, feedback controller is designed for ball-beam system using genetic algorithms. A genetic algorithms are implemented for optimizing gain parameters of feedback controller. We can find optimal point in multi-dimensional search space by using genetic algorithms. Performance of controller is tested by simulation of ball-beam system.

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유전 알고리즘에 의한 Hybrid 퍼지 추론기의 구성 (Application of genetic algorithm to hybrid fuzzy inference engine)

  • 박세희;조현찬;이홍기;전홍태
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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    • pp.863-868
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    • 1992
  • This paper presents a method on applying Genetic Algorithm(GA), which is a well-known high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilizes Sugeno's hybrid inference method, which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the optimal parameters in the FLC. The proposed approach will be demonstrated using 2 d.o.f robot manipulator to verify its effectiveness.

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신경회로망을 이용한 경전철 차량추진용 선형유도전동기의 설계변수 최적화 (Optimization of Design Parameters of a Linear Induction Motor for the propulsion of Metro)

  • 임달호;박승찬;이일호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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    • pp.55-58
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    • 1995
  • An optimum design method of electric machines using neural network is presented. In this method, two multi - layer perceptrons of analysis and design neural network are used in optimizing process. A preliminary model of linear induction motor for subway is designed by the electric and magnetic loading distribution method and then optimized by presented method.

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Application of Genetic Algorithm to Hybrid Fuzzy Inference Engine

  • Park, Sae-hie;Chung, Sun-tae;Jeon, Hong-tae
    • 한국지능시스템학회논문지
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    • 제2권3호
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    • pp.58-67
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    • 1992
  • This paper presents a method on applying Genetric Algorithms(GA), which is a well-know high performance optimizing algorithm, to construct the self-organizing fuzzy logic controller. Fuzzy logic controller considered in this paper utilized Sugeno's hybrid inference method. which has an advantage of simple defuzzification process in the inference engine. Genetic algorithm is used to find the iptimal parameters in the FLC. The proposed approach will be demonstrated using 2 d. o. f robot manipulator to verify its effectiveness.

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Analysis and Design of Surface Plasmon Waveguide

  • Kim, Min-Wook;Jung, Jae-Hoon
    • 반도체디스플레이기술학회지
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    • 제8권3호
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    • pp.7-11
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    • 2009
  • In this paper, we developed and presented a design result for optimizing the geometry of Ag circular SPP waveguide for subwavelength waveguide applications. We investigated the effect of the design parameters on the light propagation and find the optimum design for small modal size, high coupling coefficient, and low sensitivity. The results show that the globally optimal design locates optimal waveguide geometries more efficiently than individual optimal points for multivalued objective function.

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The Performance Analysis of CPU scheduling Algorithms in Operating Systems

  • Thangakumar Jeyaprakash;Ranjana P;Sambath M
    • International Journal of Computer Science & Network Security
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    • 제23권7호
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    • pp.165-170
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    • 2023
  • Scheduling algorithms plays a significant role in optimizing the CPU in operating system. Each scheduling algorithms schedules the processes in the ready queue with its own algorithm design and its properties. In this paper, the performance analysis of First come First serve scheduling, Non preemptive scheduling, Preemptive scheduling, Shortest Job scheduling and Round Robin algorithm has been discussed with an example and the results has been analyzed with the performance parameters such as minimum waiting time, minimum turnaround time and Response time.