• 제목/요약/키워드: adaptation capability

검색결과 121건 처리시간 0.031초

호버링 로터 성능해석을 위한 수치기법 연구 (NUMERICAL TECHNIQUES FOR HOVERING ROTOR PERFORMANCE ANALYSIS)

  • 김철완;박영민;장병희
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2006년도 추계 학술대회논문집
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    • pp.151-154
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    • 2006
  • In the present paper, hovering performance analyses of proprotor and helicopter rotor blades were performed by using FLUENT software. As a proprotor, TRAM(Tilt Rotor Aeroacoustic Model) was selected and performance analysis was carried out with mesh adaptation for more elaborate solution. As a helicopter rotor blades, two bladed Caradonna and Tung's rotor and four-bladed BO-105 helicopter rotor blades were selected. In case of Caradonna and Tung's rotor, vortex trajectory was compared with experimental data to inspect the vortex convection capability of the present flow solver. For the final case, performance of BO-105 helicopter rotor blades was investigated and compared with experimental data. After performance analyses of proprotor and helicopter rotors, it was shown that the present solver showed reasonable vortex strength, wake geometry and thurst coefficient distributions. But power coefficient was somewhat overestimated about $10%{\sim}15%$ regard less of mesh adaptation.

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조종사의 위성항행시스템 적응방안에 관한 연구 (A Study on the Pilot's Adaptation for GPS Operation)

  • 한경근;송병흠
    • 한국항공운항학회지
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    • 제7권1호
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    • pp.7-18
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    • 1999
  • The FAA, along with the ICAO and other members of the civil aviation community, has recognized that a GNSS will provide the primary stand-alone navigation system in the 21st Century. FAA has initiated plans to transition from its present ground-based navigation and landing system to satellite-based using signals generated by the GPS. In spite of some risks, GPS users are increasing rapidly. About 52 aircraft equipped with various GPS in their system and wide spread of GPS may be expected in Korea. However, the regulations concerning with CPS implementation were not established by the government. Another problem is GPS receiver's interface. The user interface, operating method and capability vary with GPS class and model. As a direct operator for the system, pilots have to ensure these limitations and rules for efficient adaptation and safety. The issues identified by the study are highly interrelated, and are evidence of aviation system problem. To treat one issue in isolation may improve certain aspects of the aviation system, but will ultimately fail to fundamentally increase the safety and efficiency for the system.

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Hybrid Type II fuzzy system & data mining approach for surface finish

  • Tseng, Tzu-Liang (Bill);Jiang, Fuhua;Kwon, Yongjin (James)
    • Journal of Computational Design and Engineering
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    • 제2권3호
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    • pp.137-147
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    • 2015
  • In this study, a new methodology in predicting a system output has been investigated by applying a data mining technique and a hybrid type II fuzzy system in CNC turning operations. The purpose was to generate a supplemental control function under the dynamic machining environment, where unforeseeable changes may occur frequently. Two different types of membership functions were developed for the fuzzy logic systems and also by combining the two types, a hybrid system was generated. Genetic algorithm was used for fuzzy adaptation in the control system. Fuzzy rules are automatically modified in the process of genetic algorithm training. The computational results showed that the hybrid system with a genetic adaptation generated a far better accuracy. The hybrid fuzzy system with genetic algorithm training demonstrated more effective prediction capability and a strong potential for the implementation into existing control functions.

진화적 상호작용을 이용한 군집로봇의 환경적응 (Environment Adaptation using Evolutional Interactivity in a Swarm of Robots)

  • 문우성;장진원;백광렬
    • 제어로봇시스템학회논문지
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    • 제16권3호
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    • pp.227-232
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    • 2010
  • In this paper we consider the multi-robot system that collects target objects spread in an unexplored environment. The robots cooperate each other to improve the capability and the efficiency. The robots attract or intimidate each other as behaviors of bacterial swarms or particles with electrical moments. The interactions would increase the working efficiency in some environments but it would decrease the efficiency in some other environments. Therefore, the system needs to adapt to the working environment by adjusting the strengths of the interactions. The strengths of the interactions are expressed as sets of gene codes that mean the weights of each kind of attracting or intimidating vectors. The proposed system adjusts the gene codes using evolutional strategy. The proposed approach has been validated by computer simulation. The results of this paper show that our inter-swarm interacting strategy and optimizing algorithm improves the working efficiency, adaptively to the characteristics of environments.

ROBHAZ-DT : Variable Configuration Double-Track Mobile Robot for Hazardous Environment Applications

  • Changhyun Cho;Park, Changwoo;Sungchul Kang;Kim, Munsang;Lee, Cheonghee;Kwak, Yoon-Keun
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.30.4-30
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    • 2001
  • In this paper, design and integration of a newly developed double-tracked mobile robot called ROBHAZ-DT are introduced. It is designed to carry out military and civil missions in various hazardous environments such as the areas of fire, war, disaster and mine field etc. ROBHAZ-DT is configured with three mechanical bodies, namely front, rear and main body. By using its rotational passive adaptation mechanism equipped between the front and rear bodies, ROBHAZ-DT shows a good mobile capability on uneven terrain including stairs. The passive adaptation mechanism reduces energy consumption and offers simplicity in the design of the ROBHAZ-DT ...

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Survey of Artificial Intelligence Approaches in Cognitive Radio Networks

  • Morabit, Yasmina EL;Mrabti, Fatiha;Abarkan, El Houssein
    • Journal of information and communication convergence engineering
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    • 제17권1호
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    • pp.21-40
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    • 2019
  • This paper presents a comprehensive survey of various artificial intelligence (AI) techniques implemented in cognitive radio engine to improve cognition capability in cognitive radio networks (CRNs). AI enables systems to solve problems by emulating human biological processes such as learning, reasoning, decision making, self-adaptation, self-organization, and self-stability. The use of AI techniques is studied in applications related to the major tasks of cognitive radio including spectrum sensing, spectrum sharing, spectrum mobility, and decision making regarding dynamic spectrum access, resource allocation, parameter adaptation, and optimization problem. The aim is to provide a single source as a survey paper to help researchers better understand the various implementations of AI approaches to different cognitive radio designs, as well as to refer interested readers to the recent AI research works done in CRNs.

토크맵을 이용한 칼럼형 전기식 동력조향 시스템의 제어로직 (Control Logic Using Torque Map for a Column-Type Electric Power Steering System)

  • 김지훈;송재복
    • 한국자동차공학회논문집
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    • 제8권4호
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    • pp.186-193
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    • 2000
  • EPS(Electric Power Steering) systems have many advantages over traditional hydraulic power steering systems in space efficiency engine efficiency and environmental compatibility. In this paper an EPS system control logic using a torque map is proposed. The main function of the EPS system is to reduce the steering torque exerted by a driver by assist of an electric motor. Vehcile speed steering torque and steering wheel angle are measured and fed back to the EPS control system where appropriate assist torque is generated to assist the operator's steering effort. Another capability of the EPS system for easy adaptation to different steering feels via simple tuning is demonstrated by the experiments. It will be also verified that the EPS system can also improve damping and return performance of the steering wheel by control of the assist motor.

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Sugeno 형태의 퍼지 논리를 이용한 도립 진자의 적응 퍼지 제어 (Adaptive Fuzzy Control of Inverted Pendulum Using the Sugeno-Type of Fuzzy Logic)

  • 박해민;원성운;김영태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 합동 추계학술대회 논문집 정보 및 제어부문
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    • pp.193-196
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    • 2002
  • This paper proposes the control problem of an inverted pendulum system based on Sugeno-Type of fuzzy logic. The universal approximating capability, learning ability, adaptation capability and disturbance rejection are collected in one control strategy. The proposed scheme does not require an accurate dynamic model and the joint acceleration measurement, yet it guarantees asymptotic trajectory tracking. Experimental results perform with an inverted pendulum to show the effectiveness of the approach.

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피드백 오차 학습 신경회로망을 이용한 하드디스크 서보정보 기록 방식 (Servo-Writing Method using Feedback Error Learning Neural Networks for HDD)

  • 김수환;정정주;심준석
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.699-701
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    • 2004
  • This paper proposes the algorithm of servo- writing based on feedback error learning neural networks. The controller consists of feedback controller using PID and feedforward controller using gaussian radial basis function network. Because the RBFNs are trained by on-line rule, the controller has adaptation capability. The performance of the proposed controller is compared to that of conventional PID controller. Proposed algorithm shows better performance than PID controller.

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Some Problems of the Transfer of Technology from the Developed Countries to the LDCs

  • Hahm, Hyo-Joon
    • 대한산업공학회지
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    • 제4권2호
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    • pp.67-75
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    • 1978
  • This paper attempts to identify the factors which are directly related to the effective transfer of technology from developed countries to LDCs. The recipient countries should have the capability of alteration/adaptation based on cost-minimization criteria. Some problems are such that technologies are transferred on the conditions of MNFs, packaged forms and under state management which result in lack of competitive pressure. Non-technological criteria are shown to be a problem under state management in the transaction of technology.

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