• Title/Summary/Keyword: rule generation

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Parametric design for mechanical structure using knowledge-based system (역학적 구조에 대한 Knowledge-based 시스템을 이용한 파라메트릭 설계)

  • 이창호;김병인;정무영
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.1018-1023
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    • 1993
  • In mechanical structure design area, many FEM (Finite Element Method) packages are used. But the design using FEM packages depends on an iterative trial and error manner and general CAD systems cannot cope with the change of parameters. This paper presents a methodology for building a designing system of a mechanical structure. This system can generate the drawing for a designed structure automatically. It consists of three steps: generation of a structure by selection of the parameters, stress analysis, and generation of a drawing using CAD system. FEM module and parametric CAD module are developed for this system. Inference engine module generates the parameters with a rule base and a model base, and also evaluates the current structure. The parametric design module generates geometric shapes automatically with given dimension. Parametric design is implemented with the artificial intelligent technique. In older to the demonstrate the effectiveness of the developed system, a frame set of bicycle was designed. The system was implemented on an SUN workstation using C language under OpenWindows environment.

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Automatic Fuzzy Rule Generation by Simulating Human Knowledge Gathering Process (사람의 지식 축정과정 모사를 통한 자동 퍼지규칙의 생성)

  • 정성훈
    • Journal of the Korean Institute of Intelligent Systems
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    • v.5 no.4
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    • pp.12-17
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    • 1995
  • Fuzzy rules, developed by experts thus far, may be often inconsistent and incomplete. This paper proposes a new methodology for automatic generation of fuzzy rules which are nearly complete and not inconsistent. This is accomplished by simulating a knowledge gathering process of humans from control experiences. This method is simpler and more efficient than existing ones. It is shown through simulation that our method even generates better rules than those generated by experts, under fine tuned parameters.

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Wavelength Assignment Optimization in SDH over WDM Rings

  • Chung, Jibok;Lee, Heesang;Han, ChiMoon
    • Management Science and Financial Engineering
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    • v.9 no.1
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    • pp.11-27
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    • 2003
  • In this study, we propose a mathematical model based on the graph theory for the wavelength assignment problem arising in the design of SDH (Synchronous Digital Hierarchy) over WDM (Wavelength Division Multiplexing) ring networks. We propose a branch- and -price algorithm to solve the suggested models effectively within reasonable time in realistic SDH over WDM ring networks. By exploiting the structure of ring networks, we developed a polynomial time algorithm for efficient column generation and a branching rule that conserves the structure of column generation. In a computer simulation study, the suggested approach can find the optimal solutions within reasonable time and show better performance than the existing heuristics.

Sensorless MPPT Control using a Boost Converter and a Grid Side Inverter in Wind Power Generation Systems (Boost 컨버터와 계통연계 인버터를 이용한 풍력발전의 센서리스 MPPT 제어)

  • Kim, Do-Yoon;Lee, Jun-Min;Kim, Young-Seok
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.7
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    • pp.1372-1377
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    • 2011
  • This paper proposes the control method of MPPT(maximum power point tracking) for the wind energy generation system using the duty ratio control of boost type DC-DC converter. For a lower cost and a higher reliability, the wind and the generator velocity sensors are removed. MPPT control is implemented by changing the duty ratio of the boost converter. Chain rule is applied by using each function. The grid side inverter is controlled to regulate unity power factor. The proposed control method was analyzed mathematically and verified by the computer simulation using PSIM.

MPPT Control of Photovoltaic by FNN (FNN에 의한 태양광 발전의 MPPT 제어)

  • Choi, Jung-Sik;Ko, Jae-Sub;Chung, Dong-Hwa
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.10
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    • pp.1968-1975
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    • 2009
  • The paper proposes a novel control algorithm for tracking maximum power of PV generation system.. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point(MPP) is accurately tracked.. The paper proposes a fuzzy neural network(FNN) control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. FNN has the advantages which are depicted both high performance and robustness in fuzzy control and high adaptive control in neural network.. Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In this paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.

Regulated Incremental Conductance (r-INC) MPPT Algorithm for Photovoltaic Systems

  • Wellawatta, Thusitha Randima;Choi, Sung-Jin
    • Journal of Power Electronics
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    • v.19 no.6
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    • pp.1544-1553
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    • 2019
  • The efficiency of photovoltaic generation systems depends on the maximum power point tracking (MPPT) technique. Among the various schemes presented in the literature, the incremental conductance (INC) method is one of the most frequently used due to its superb tracking ability under changes in insolation and temperature. Generally, conventional INC algorithms implement a simple duty-cycle updating rule that is mainly found on the polarity of the peak-power evaluation function. However, this fails to maximize the performance in both steady-state and transient conditions. In order to overcome this limitation, a novel regulated INC (r-INC) method is proposed in this paper. Like the compensators in automatic control systems, this method applies a digital compensator to evaluate the INC function and improve the capability of power tracking. Precise modeling of a new MPPT system is also presented in the optimized design process. A 120W boost peak power tracker is utilized to obtain comparative test results and to confirm the superiority of the proposed method over existing techniques.

A Characteristics of the Multiple Repair Welding HAZs in a Low Alloy-Steel(2.25Cr-1.0Mo) (저 합금강재(2.25Cr-1.0Mo) 반복 보수용접 열영향부의 특성)

  • Lee, Chul-Ku;Ahn, Jong-Seok;Lee, Nam-Hyuck;Lee, Gil-Jae
    • Journal of Welding and Joining
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    • v.26 no.1
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    • pp.50-55
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    • 2008
  • A low alloy-steel(2.25Cr-1.0Mo) has been widely used for boiler piping, header and tubes in high temperature and pressure conditions of the thermal power plant. It is common knowledge that the repair welding is permitted two or three times by customary practice rule, but there is no regulation to limit the number of repair welding base on the study heat-affected zone(HAZ), which is the weakest zone when repair welding is under taken, by experiments about the metallographic degradation and mechanical properties. Therefore, this study aims to verify the reliability of 5 times repair welding through conducting the experimental observation in the mechanical and the metallographic change on HAZ varying repair welding times. In results of the experiments, it is concluded that the reliability was kept in HAZ even up to the fifth repairs.

Optimazation of Simulated Fuzzy Car Controller Using Genetic Algorithm (유전자 알고즘을 이용한 자동차 주행 제어기의 최적화)

  • Kim Bong-Gi
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.1
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    • pp.212-219
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    • 2006
  • The important problem in designing a Fuzzy Logic Controller(FLC) is generation of fuzzy control rules and it is usually the case that they are given by human experts of the problem domain. However, it is difficult to find an well-trained expert to any given problem. In this paper, I describes an application of genetic algorithm, a well-known global search algorithm to automatic generation of fuzzy control rules for FLC design. Fuzzy rules are automatically generated by evolving initially given fuzzy rules and membership functions associated fuzzy linguistic terms. Using genetic algorithm efficient fuzzy rules can be generated without any prior knowledge about the domain problem. In addition expert knowledge can be easily incorporated into rule generation for performance enhancement. We experimented genetic algorithm with a non-trivial vehicle controling problem. Our experimental results showed that genetic algorithm is efficient for designing any complex control system and the resulting system is robust.

Automated Test Data Generation for Testing Programs with Multi-level Stack-directed Pointers (다단계 스택 지향 포인터가 있는 프로그램 테스트를 위한 테스트 데이터 자동 생성)

  • Chung, In-Sang
    • The KIPS Transactions:PartD
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    • v.17D no.4
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    • pp.297-310
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    • 2010
  • Recently, a new testing technique called concolic testing receives lots of attention. Concolic testing generates test data by combining concrete program execution and symbolic execution to achieve high test coverage. CREST is a representative open-source test tool implementing concolic testing. Currently, however, CREST only deals with integer type as input. This paper presents a new rule for automated test data generation in presence of inputs of pointer type. The rules effectively handles multi-level stack-directed pointers that are mainly used in C programs. In addition, we describe a tool named vCREST implementing the proposed rules together with the results of applying the tool to some C programs.

Research on the Process of Constructing Application Systems Using the E-R Model and an Automated Application Generator (E-R 모델과 자동생성기를 이용한 응용시스템의 구축 과정에 관한 연구)

  • Chung, Il-Choo
    • Journal of Information Technology Applications and Management
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    • v.12 no.4
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    • pp.133-155
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    • 2005
  • This Paper makes an attempt to suggest a process of automatically generating application software based on the Entity-Relationship model 1. The designer develops an E-R model of an real-world system. 2. The designer inputs the entity and relationship types, and attributes shown in the E-R model, and also the basic operations of the application system to the software generator. 3. The application generator produces database schema and link information between application programs, and then automatically generates a stereo-type application system. In order for the automated application generator to build the application system in a systematic way, four basic program generation rules have been suggested. A set of computer programs have been developed in order to show the applicability of the automated software generation process suggested in this paper. By following each rule with the generator, the designer can build an application in an efficient manner compared with traditional (manual programming) approaches. It has been demonstrated from the case study that the idea of applying an automated generator in systems development based upon the E-R model is feasible.

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