• Title/Summary/Keyword: Approximate Reasoning.

Search Result 67, Processing Time 0.026 seconds

On Developing The Intellingent contro System of a Robot Manupulator by Fussion of Fuzzy Logic and Neural Network (퍼지논리와 신경망 융합에 의한 로보트매니퓰레이터의 지능형제어 시스템 개발)

  • 김용호;전홍태
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.5 no.1
    • /
    • pp.52-64
    • /
    • 1995
  • Robot manipulator is a highly nonlinear-time varying system. Therefore, a lot of control theory has been applied to the system. Robot manipulator has two types of control; one is path planning, another is path tracking. In this paper, we select the path tracking, and for this purpose, propose the intelligent control¬ler which is combined with fuzzy logic and neural network. The fuzzy logic provides an inference morphorlogy that enables approximate human reasoning to apply to knowledge-based systems, and also provides a mathematical strength to capture the uncertainties associated with human cognitive processes like thinking and reasoning. Based on this fuzzy logic, the fuzzy logic controller(FLC) provides a means of converhng a linguistic control strategy based on expert knowledge into automahc control strategy. But the construction of rule-base for a nonlinear hme-varying system such as robot, becomes much more com¬plicated because of model uncertainty and parameter variations. To cope with these problems, a auto-tuning method of the fuzzy rule-base is required. In this paper, the GA-based Fuzzy-Neural control system combining Fuzzy-Neural control theory with the genetic algorithm(GA), that is known to be very effective in the optimization problem, will be proposed. The effectiveness of the proposed control system will be demonstrated by computer simulations using a two degree of freedom robot manipulator.

  • PDF

Development of Fuzzy Inference Engine for Servo Control Using $\alpha$-level Set Decomposition ($\alpha$ -레벨집합 분해에 의한 서보제어용 퍼지 추론 연산회로의 개발)

  • 홍순일;이요섭
    • Journal of the Institute of Convergence Signal Processing
    • /
    • v.2 no.3
    • /
    • pp.50-56
    • /
    • 2001
  • As the fuzzy control is applied to servo system, the hardware implementation of the fuzzy information systems requires the high speed operations, short real time control and the small size systems. The aims of this study is to develop hardware of the fuzzy information systems to be apply to servo system. In this paper, we propose a calculation method of approximate reasoning for fuzzy control based on $\alpha$ -level set decomposition of fuzzy sets by quantize $\alpha$ -cuts. This method can be easily implemented with analog hardware. The influence of quantization Bevels of $\alpha$-cuts on output from fuzzy inference engine is investigated. It is concluded that 4 quantization levels give sufficient result for fuzzy control performance of dc servo system. The hardware implementation of proposed operation method and of the defuzzification by gravity center method which is directly converted to PWM actuating signal is also presented. It is verified useful with experiment for dc servo system.

  • PDF

Implemented Logic Circuits of Fuzzy Inference Engine for DC Servo Control Using decomposition of $\alpha$-level fuzzy set ($\alpha$-레벨 퍼지집합 분해에 의한 직류 서보제어용 퍼지추론 연산회로 구현)

  • 이요섭;손의식;홍순일
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.8 no.5
    • /
    • pp.1050-1057
    • /
    • 2004
  • The purpose of study is development of a fuzzy controller which independent of a computer and its software for fuzzy control of servo system. This paper describes a method of approximate reasoning for fuzzy control of servo system, based on decomposition of $\alpha$-level fuzzy sets, It is propose that fuzzy logic algorithm is a body from fuzzy inference to defuzzificaion in cases where the output variable u directly is generated PWM. The effectiveness of quantified $\alpha$-levels on input/output characteristics of fuzzy controller and output response of DC servo system is investigated. It is concluded that $\alpha$-cut 4 levels give a sufficient result for fuzzy control performance of DC servo system. The experimental results shows that the proposed hardware method is effective for practical applications of DC servo system.

An Implementation of Knowledge-based BIM System for Representing Design Knowledge on Massing Calculation in Architectural Pre-Design Phase (건축기획 매스 규모산정의 설계지식 재현을 위한 지식기반 BIM 시스템 구현)

  • Lee, Byung-Soo;Ji, Seung-Yeul;Jun, Han-Jong
    • Korean Journal of Computational Design and Engineering
    • /
    • v.21 no.3
    • /
    • pp.252-266
    • /
    • 2016
  • An architectural pre-design, which is conducted prior to the architecture design, supports fundamental configuration during the entire AEC project by predicting the cost, demand, etc., of the building, and is therefore gaining importance. In particular, the massing calculation of the pre-design phase should be prioritized, as it is fundamental to architectural outline. However, most architects depend on only their experience and intuition while conceptualizing an integrated framework of design conditions, including the building code and requirements for the massing calculation of the object. Therefore, many difficulties arise in terms of performing appropriate tasks. Thus, the purpose of this study is to implement a knowledge-based BIM for explicitly representing the design knowledge, which is the basis of decision making for an architect while performing the massing calculation. In particular, the 3D knowledge relevant to a project can be provided and accumulated in the massing calculation by the BIM system; this facilitates an integral understanding. Consequently, the approximate result of massing calculation in 3D BIM environment, through both the knowledge-based BIM template and plug-in, can be swiftly provided to the architect. In addition, the architect can invent various alternatives, estimate resulting costs, and reuse the accumulated knowledge in future BIM design processes.

Application of SDAHL-74 Watershed Model to a Long Term Runoff Analysis in the Mountainous Watershed (산지유역에 대한 USDAHL-74 유역수문모형의 장기유출 해석적용)

  • 권순국;고덕구
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.29 no.2
    • /
    • pp.53-63
    • /
    • 1987
  • Due to their wide range of application, deterministic comprehensive hydrologic models using digital computers have been developed in all countries of the world and researches are being undertaken for their appropriate applications. The aim of this study has been to demonstrate the practical implementation of a physically based distributed hydrologic model, the USDAHL-74 model and to investigate its ability to simulate the long term estimate of water balance quantities in a Korean mountainous watershed. Application of the model to Dochuk watershed indicates the following results. 1.Since the USDAHL-74 model includes all the major components of the hydrologic cycle in agricultural watersheds, thus is comprehnsive, the model seems to have a wide range of application from the fact that simulation results obtained are not only runoff volumes m various time units but their spatial variation as well as even soil moisture within the watershed. 2.An approximate calibration to determine the parameter values in the model using various data obtained from D0chuk shed shows that the simulation error of yearly runoff volume is only 0.6 % and a correlation coefficient between observed daily runoff volume and simulated one is 0.91 in all calibrated period.3.As a verification test of the model, runoff volumes are simulated using 1986 year data without changing the parameter values determined by 1985 year data. The tests show that the USDAHL-74 model is a flexible tool and that realistic production to simulate the long term estimate of runoff in Korean mountainous watershed could be obtained using only a short period of calibration.4. Despite of the encouraging results, there still remain minor problems concerning the practical application of the model to improve the result of simulations. Some of these are the small descrepancies between observed and simulated daily runoff volume appeared in the vicinity of peaks and the recession of1 the daily hydrographs and the model performance for the frozen ground and melting process in the model. 5. Alough the use of parameter with physical significance and the ability to improve calibrations on the basis of physical reasoning represents advantages in the simulation for ungaged watersheds, further researches are needed to use the USDAHL-74 mode to simulate runoff in ungaged watersheds.

  • PDF

Chuchik(推測) in Choi Han-gi(崔漢綺)'s Ki-philosophy[氣哲學] (최한기(崔漢綺)의 기철학((氣哲學)에 있어서의 추측(推測))

  • Yun, Hee-Whan
    • (The)Study of the Eastern Classic
    • /
    • no.71
    • /
    • pp.129-146
    • /
    • 2018
  • Choi Han-gi(崔漢綺)'s system of ideas is roughly called Ki-philosophy(氣哲學) because he presupposes ki(氣) as the foundational element as well as operational agent of the whole universe. Choi suggests that each extant entity should try to approximate itself to the greater cosmic operation and changes[大氣運化], thus achieving an harmonious unity with ilki(一氣), the ultimate originator as well as principle of the universe. In order to make this happen, he proposes that one execute chuchik(推測), a kind of empirical reasoning, which is gradually sharpened through expanding and accumulating his experiences of the outer world. Continuous practicing of chuchik(推測) helps one enlarge his conceptual, experiential and existential horizon much more greatly than could otherwise be possible. Such an expansion of the self naturally brings about one's ultimate development as an ethical, responsible, sociable and even cosmic being. Seen in this respect, chuchik(推測) is not simply a cognitive maneuver but a powerful catalyst which help bind all entities under heaven in a great harmonious whole.

A Study on Evaluating the Level of Service for Bridges using Fuzzy Approximate Reasoning (퍼지근사추론을 이용한 교량 서비스 수준 산정에 관한 연구)

  • Jo, Byung-Wan;Kim, Heon;Kim, Jang-Wook;Chi, Se-Young
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.18 no.8
    • /
    • pp.8-17
    • /
    • 2017
  • Infrastructures such as bridges and tunnels are crucial elements of national economic growth, and sudden collapses may lead to great catastrophes with significant social and economic losses, as well as a loss of lives. Hence, an efficient maintenance technique must be applied to guarantee safety, secure budgets to maintain a certain level of service, and prevent maintenance expenditures from being concentrated in a specific time period. Developed countries have experienced rapid increases in maintenance budgets, and maintenance costs now account for about 40% of the total maintenance budget. The level of service in asset management systems is an essential element for setting management goals and making priority decisions. Therefore, this study uses fuzzy theory to develop a new way to assess the level of service.The assessment model was applied to an actual bridge to evaluate the level of service for users.