• 대한전기학회논문지
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• 제39권5호
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• pp.485-493
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• 1990

The idea of expert control is to incorporate a rule based expert system in a feedback control system. In this paper, we present some heuristic rules based on relay experiment for the choice of controller structure and the setting of the controller parameters. Heuristic rules are used as an element of the feedback loop in an auto-tuning PID controller. The algorithms are coded in a form which is as pure as possible and the heuristic logic is implemented with the rules. This paper reports an implementation of an expert controller on microcomputer-based system, including an industrial programmable controller.

• 한국해양공학회지
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• 제26권4호
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• pp.8-14
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• 2012

Two dimensional nesting is a common problem in industries such as the shipbuilding, automotive, clothing, shoe-making, and furniture industries, in which various parts are cut off from stock or packed in a flat space while minimizing waste or unoccupied space. Nesting is known as an NP-complete problem, which has a solution time proportional to the superpolynomial of the input size. It becomes practically impossible to find an optimal solution using algorithmic methods as the number of shapes to nest increases. Therefore, heuristic methods are commonly used to solve nesting problems. This paper presents an expert system that uses a heuristic search method based on an evaluation function for nesting problems, in which parts and stock are represented by pixels. The system is developed in CLIPS, an expert system shell, and is applied to four different kinds of example problems to verify its applicability in practical problems.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권5호
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• pp.283-289
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• 2003

This paper proposes an expert system which can determine automatically the shunting routes corresponding to the given shunting works by considering totally the train operating environments in the station. The expert system proposes the multiple shunting routes with priority of selection based on heuristic search strategy. Accordingly, system operator can select a shunting route with the safety and efficiency among the those shunting routes. The expert system consists of a main inference engine and a sub inference engine. The main inference engine determines the shunting routes with selection priority using the segment routes obtained from the sub inference engine. The heuristic rules are extracted from operating knowledges of the veteran route operator and station topology. It is implemented in C computer language for the purpose of the implementation of the inference engine using the dynamic memory allocation technique. And, the validity of the builted expert system is proved by a test case for the model station.

• 지능정보연구
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• 제1권1호
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• pp.61-72
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• 1995

Dynamic and explicit ordering of strategies is a key process in modeling knowledge-level problem-solving behavior. This paper addressed the important problem of howl to make the scheduler more knowledge-intensive in a way that facilitates the acquisition, integration, and maintenance of the scheduler control knowledge. The solution a, pp.oach described in this paper involved formulating the scheduler task as a heuristic classification problem, and then implementing it as a classification expert system. By doing this, the wide spectrum of known methods of acquiring, refining, and maintaining the knowledge of a classification expert system are a, pp.icable to the scheduler control knowledge. One important innovation of this research is that of recursive heuristic classification : this paper demonstrates that it is possible to formulate and solve a key subcomponent of heuristic classification as heuristic classification problem. Another key innovation is the creation of a method of dynamic heuristic classification : the classification alternatives that are selected among are dynamically generated in real-time and then evidence is gathered for and aginst these alternatives. In contrast, the normal model of heuristic classification is that of structured selection between a set of preenumerated fixed alternatives.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1991년도 하계학술대회 논문집
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• pp.34-36
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• 1991

The idea of expert control is to incoporate a rule based expert system in a feedback control system. In this paper, we present some heuristic rules about input requlation and supervision and turning for D.C servo motor speed control in variable. The expert auto-turning PID controller which heuristic rules are used as an element of the feedback control system is implemented with the numerical algorithms and heuristic logics. The accurate control function is confirmed by computer simulation.

• 조명전기설비학회논문지
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• 제17권3호
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• pp.87-94
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• 2003

배전계통에서의 사고 발생시 정전으로 인한 수용가의 손실을 최소로 하기 위하여 정전구역에 대한 신속한 복구가 이루어져야 한다. 본 논문에서는 배전계통의 정전복구를 위한 전문가 시스템을 제안하였다. 제안된 전문가 시스템은 복구과정에서 전문가의 경험적 규칙을 이용함으로써 복구에 소요되는 스위칭 횟수를 최소화 하도록 하였다. 복구 과정은 일반적인 위상구조 지식 기반의 응용을 통해 전문가 시스템의 상태공간에서 타당한 경로를 찾는 문제로 표현하였다. 또한, 다양한 배전계통 구조를 고려하기 위해 다중 부하절체 기법을 제안하였다.

• 한국통신학회논문지
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• 제16권9호
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• pp.877-882
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• 1991

전문가 제어는 궤환세어 시스템에 규칙기반 전문가 시스템을 도입한 기법이다. 본 논문에서는 직류 서보전동기 속도 제어를 위한 입력 조절, 감독, 동조에 관한 경험적 규치기 제시되었다. 경험적 규칙이 궤횐제어 시스템의 한 요소로서 사용된 전문가 자동동조 PID 제어기는 수치 알고리즘과 경험적 논리로 구성된다. 견실하고 정밀한 제어기능은 컴퓨터 시뮬레이션에 의하여 확인 하였다

• 전기학회논문지
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• 제58권7호
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• pp.1276-1280
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• 2009

This paper presents a fault diagnosis expert system for 765kV substation. The proposed system includes the topology processor and intelligent alarm processing subsystems. This expert system estimates the fault section through the inference process using heuristic knowledge and the output of topology processor and intelligent alarm processing system. The rule-base of this expert system is composed of basic rules suggested by Korea Electric Power Corporation and heuristic rules. This expert system is developed using PROLOG language. Also, user friendly Graphic User Interface is developed using visual basic programming in the windows XP environment. The proposed expert system showed a promising performance through the several case studies.

• 한국IT서비스학회지
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• 제11권1호
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• pp.325-340
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• 2012

KUbiquitous city(U-City) is a recent trend in urban planning and management across the globe. Currently, several typologies were developed and presented classifying U-City services, but validation research of these typologies are scarce. In this study, efforts were made to qualitatively validate the usability and practicality of a typology of u-city services. Using 228 U-City services identified in previous studies, classifying exercises were conducted against a typology. Three experts were involved in this expert heuristic exercise, against a most popularly used and comprehensive typology of U-City services. Findings indicates that the selected typology is high on comprehensive exhaustiveness, and empirical applicability while low on mutual exclusivity, simplicity and theoretical contribution. Implications for the typology improvement are suggested followed by limitations and directions for further research.

• 대한산업공학회지
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• 제23권4호
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• pp.621-633
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• 1997

This paper is concerned with the multiobjective vehicle scheduling problem with time and area-dependent travel speeds(MVSPTD), in which two conflicting objectives are explicitly treated and the travel speed between two locations depends on the passing area and time of day. The two objectives are the minimization of total vehicle travel time and the minimization of total weighted tardiness. First, I construct a mixed integer linear programming formulation of the MVSPTD, and present o heuristic algorithm that builds the vehicle schedules based on the savings computed. The results of computational experiments showed that the heuristic performs very well. Finally, I propose an expert system for vehicle scheduling in the MVSPTD. Its whole process is executed under VP-Expert expert system environment.