• 한국공작기계학회논문집
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• 제17권2호
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• pp.83-89
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• 2008

This paper presents the dynamic analysis and input shaping control of a positioning stage. Vibration characteristics of the positioning stage are affected not only by the structural dynamics but also by the servo actuators that consist of the mechanism; driving motor and controller. This paper proposes an integrated dynamic model to accommodate both the structural dynamics and the servo actuators. Theoretical modal analysis with a commercial finite element code is carried out to investigate the dynamic characteristics of the experimental positioning stage. Experiments are performed to validate the theoretical modal analysis and estimate the equivalent stiffness due to the servo actuators. This paper deals with an input shaping scheme to suppress vibration of the positioning stage. Input shapers are systematically implemented for the positioning stage in consideration of its dynamics. The effects of servo control gain are also investigated. The experiments show that input shaping effectively removes residual vibrations and then improves the performance of positioning stage.

• 제어로봇시스템학회논문지
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• 제12권6호
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• pp.600-607
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• 2006

For the effective operation of manufacturing system, FMS(Flexible Manufacturing System) and CIM(Computer Integrated Manufacturing) system are developed. In these systems, a machine tool is the target of integration in last 3 decades. In nowadays, the conventional concept of machine tools is changing to the autonomous manufacturing device based on knowledge-evolution through applying advanced information technology in which open architecture controller, high speed network and internet technology are contained. In this environment, a machine tool is not the target of integration but the subject of cooperation. In the future, a machine tool will be more improved in the form of a knowledge-evolution based device. In order to develop the knowledge-evolution based machine tools, this paper proposes the structure of knowledge evolution in M2M(Machine To Machine) and the scheme of a dialogue agent among agent-based modules such as a sensory module, a dialogue module, and an expert system. The dialogue agent has a role of interfacing with another machine for cooperation. To design the dialogue agent module in M2M environment, FIPA-OS and ping agent based on FIPA-OS are analyzed in this study. Through this, it is expected that the dialogue agent module can be more efficiently designed and the knowledge-evolution based machine tools can be hereafter more easily implemented.

• 한국전자통신학회논문지
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• 제9권11호
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• pp.1305-1310
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• 2014

본 논문에서는 현존하는 크레인 모니터링 시스템의 문제점을 보완한 새로운 크레인 통합 모니터링 시스템 구현한다. 구현하는 모니터링 시스템은 무선 네트워크를 기본으로 주 차단기의 전체 부하전류를 측정하기 위한 시스템, 주 감속기의 오일 및 베어링 감시를 위한 온도와 진동 측정 시스템, 주권 모터 베어링의 온도 측정 시스템, 또한 전기실 전체의 화재 감시를 위한 센서 등을 갖추고 여기에서 측정한 데이터를 중앙의 감시실로 전송하여 진단을 수행하는 통합 모니터링 시스템을 구현하고 성능시험을 수행한다.

• 한국전자통신학회논문지
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• 제15권4호
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• pp.753-758
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• 2020

본 논문에서는 개발된 수직교반히터를 시설하우스에 적용하고, 그 외 시설물(순환팬, 환기팬, 개폐 모터를 이용한 창문, 천장, 제습)을 통합적으로 제어할 수 있는 제어 시스템을 개발하고자 한다. 이를 통해 작물의 재배 효율을 올리고 무가온 저장고나 저장창고 등이 보유한 수확물의 보관 환경을 개선하여 저장 기간 및 신선도를 증대시키고자 한다. 또한 ICT 모니터링 기술을 추가하여 사용자가 RTC(: Real Time Control)로 재배 및 저장 환경의 변화에 따라 문제가 생겼을 시에 손쉽게 해결할 수 있도록 하고자 한다.

• Industrial Engineering and Management Systems
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• 제11권4호
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• pp.310-330
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• 2012

Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic population-based metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

• Journal of Power Electronics
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• 제10권2호
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• pp.187-193
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• 2010

This paper proposes a cooling system using thermoelectric elements for improving the output of building integrated photovoltaic (BIPV) modules. The temperature characteristics that improve the output of a BIPV system have rarely been studied up to now but some researchers have proposed a method using a ventilator. The efficiency of a ventilator depends mainly on the weather such as wind, irradiation etc. Because this cooling system is so sensitive to the velocity of the wind, it is unable to operate in the nominal operating cell temperature (NOCT) or the standard test condition (STC) which allow it to generate the maximum output. This paper proposes a cooling system using thermoelectric elements to solve such problems. The temperature control of thermoelectric elements can be controlled independently in an outdoor environment because it is performed by a micro-controller. In addition, it can be operated around the NOCT or the STC through an algorithm for temperature control. Therefore, the output of the system is increased and the efficiency is raised. This paper proves the validity of the proposed method by comparing the data obtained through experiments on the cooling systems of BIPV modules using a ventilator and thermoelectric elements.

• 전력전자학회논문지
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• 제16권4호
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• pp.326-333
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• 2011

본 논문에서는 Plug-in Hybrid Electric Vehicles (PHEVs)의 배터리 충전을 위해 필요한 추가적인 충전기 없이, 구동모터의 인덕턴스와 구동 드라이버인 3상 인버터를 이용하는 배터리 충전 기법들을 소개한다. 모터의 코일을 승압용 에너지 저장장치로 사용하고 인버터 스위치 제어를 통해 부스트 컨버터로 동작되도록 하여 추가적인 충전기를 제거함으로써, 충전장치가 차지하는 부피, 무게 및 단가를 저감할 수 있다. PHEVs의 시스템 구조와 제어기 구성에 따라 분류된 다양한 배터리 충전 기법들을 비교분석하고 시뮬레이션 결과를 통해 검증한다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1254-1256
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• 1996

Design methods for sequence flow controllers play an important role in industrial automation. To design a flexible, reusable, and maintainable control software has become a key issue nowadays. Petri net has been emerging as an important tool to provide an integrated solution for modeling, analysis, simulation, and control of industrial automated systems recently. This paper describes an international standard of programming languages for programmable logic controllers, IEC 1131-3 SFC( Sequential Function Chart), and the sequence flow control method for an SFC using a Petri net-like model.

• Journal of Electrical Engineering and Technology
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• 제8권4호
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• pp.899-910
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• 2013

This paper presents a novel lateral stability control system for electric vehicle based on sideslip angle estimation through Kalman filter using the integration of a single antenna GPS receiver and yaw rate sensor. Using multi-rate measurements including yaw rate and course angle, time-varying parameters disappear from the measurement equation of the proposed Kalman filter. Accurate sideslip angle estimation is achieved by treating the combination of model uncertainties and external disturbances as extended states. Active front steering and direct yaw moment are integrated to manipulate sideslip angle and yaw rate of the vehicle. Instead of decoupling control design method, a new control scheme, "two-input two-output controller", is proposed. The extended states are utilized for disturbance rejection that improves the robustness of lateral stability control system. The effectiveness of the proposed methods is verified by computer simulations and experiments.

• 조명전기설비학회논문지
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• 제27권9호
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• pp.74-82
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• 2013

This paper presents a novel maximum power point tracking for a photovoltaic power (PV) system with a direct control plan. Maximum power point tracking (MPPT) must usually be integrated with photovoltaic (PV) power systems so that the photovoltaic arrays are able to deliver maximum available power. The maximum available power is tracked using specialized algorithms such as Perturb and Observe (P&O) and incremental Conductance (indCond) methods. The proposed method has the direct control of the MPPT algorithm to change the duty cycle of a dc-dc converter. The main difference of the proposed system to existing MPPT systems includes elimination of the proportional-integral control loop and investigation of the effect of simplifying the control circuit. The proposed method thus has not only faster dynamic performance but also high tracking accuracy. Without a conventional controller, this method can control the dc-dc converter. A simulation model and the direct control of MPPT algorithm for the PV power system are developed by Matlab/Simulink, SimPowerSystems and Matlab/Stateflow.