• 한국공작기계학회논문집
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• 제12권4호
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• pp.29-35
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• 2003

The rotating machineries always generate harmonic frequencies of their own rotating speed, and increment of vibration amplitude affects to the equipments which connected to the vibrational source and causes industrial calamities. The life cycle of equipments can be extended and damages to the human beings could be prevented by identifying the cause of malfunctions through prediction of the increment of vibration and records of vibrational history. In this study, therefore, diagnostic expert algorithm for the centrifugal pump is developed by integrating fuzzy inference method and signal processing techniques. And the validity of the developed diagnostic system is examined via various computer simulations.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 2003년도 추계학술대회
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• pp.219-226
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• 2003

In this paper, it is presented a new scheme of adaptive-neuro control system to implement real-time control of robot manipulator. Unlike the well-established theory fir the adaptive control of linear systems, there exists relatively little general theory fir the adaptive control of nonlinear systems. Adaptive control technique is essential fir providing a stable and robust performance fir application of robot control. The proposed neuro control algorithm is one of teaming a model based error back-propagation scheme using Lyapunov stability analysis method. Through simulation, the proposed adaptive-neuro control scheme is proved to be a efficient control technique f3r real-time control of robot system using DSPs.

• Journal of Advanced Marine Engineering and Technology
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• 제33권3호
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• pp.395-402
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• 2009

This paper presents the newly developed Pareto-based multi-objective Bees Algorithm with weighted sum technique for solving a power system multi-objective nonlinear optimization problem. Specifically, the Pareto-based Bees Algorithm with memorized zone has been developed to alleviate both difficulties from classical techniques and intelligent techniques for multi-objective problems (MOP) and successfully applied to an Environmental/Economic (electric power) dispatch (EED) problem. This multi-objective Bees Algorithm has been examined and applied to the standard IEEE 30-bus six-generator test system. Simulation results have been compared to those obtained using other approaches. The comparison shows the potential and effectiveness of the proposed Bees Algorithm for solving the multi-objective EED problem.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1999년도 춘계학술대회 논문집
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• pp.193-198
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• 1999

In this paper, it is presented a new technique to the design and real-time implementation of fuzzy control system based-on digital signal processors in order to improve the precision and robustness for system of industrial robot. Fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of fuzzy set theory, especially in the real of industrial processes. In this thesis, a self-organizing fuzzy controller for the industrial robot manipulator with a actuator located at the base is studied. A fuzzy logic composed of linguistic conditional statements is employed by defining the relations of input-output variable of the controller, In the synthesis of a FLC, one of the most difficult problems is the determination of linguistic control rules from the human operators. To overcome this difficult, SOFC is proposed for a hierarchical control structure consisting of basic level and high level that modify control rules.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2004년도 춘계학술대회 논문집
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• pp.397-403
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• 2004

The controller area network(CAN) was originally developed to support cheap and rather simple automative applications, However, because of the its performance and low cost, it is also being considered in automated manufacturing and process control environments to interconnect intelligent devices, such as modem sensors and actuators. This paper presents a new application technology of the developed CAN control modules for the automated doors in building automation system. Key pad and RF methods are used to open and close the automated door by the slave CAN module with CAN protocol. BAS application technology of CAN field bus modules is also presented firstly in our nation.

• 지능정보연구
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• 제2권2호
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• pp.69-83
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• 1996

The objective of this research is to develop a knowledge acquisition and refinement method for a multi-objective and multi-decision FMS scheduling problem. A competitive neural network and an inductive learning algorithm are integrated to extract and refine necessary scheduling knowledge from simulation outputs. The obtained scheduling knowledge can assist the FMS operator in real-time to decide multiple decisions simultaneously, while maximally meeting multiple objective desired by the FMS operator. The acquired scheduling knowledge for an FMS scheduling problem is tested by comparing the desired and the simulated values of the multiple objectives. The result show that the knowledge acquisition and refinement method is effective for the multi-objective and multi-decision FMS scheduling problems.

• 한국전자거래학회지
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• 제25권4호
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• pp.143-154
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• 2020

가공 시스템의 지능화 및 자율화 추세가 확대되면서, CNC 공작기계의 자동화된 오퍼레이션을 위한 머신 텐딩 시스템 도입이 산업 현장에서 활발히 진행되고 있다. 머신 텐딩 시스템을 구축함에 있어 CNC 공작기계와 로봇 간 인터페이스 구성 및 구성한 인터페이스에 대한 작업 설계 변경은 가장 중요한 프로세스이다. 하지만 이러한 중요도에도 불구하고 머신 텐딩 시스템은 많은 설정 문제가 있다. 새로운 CNC 공작기계나 로봇을 도입할 때마다 인터페이스에 맞추어 컨트롤러를 다시 제작하거나 재구성해야 하는 어려움이 있고, 추가적으로 머신 텐딩 시스템의 복잡한 구조로 인해 현장 작업자가 해당 시스템을 변경하는 부분에도 어려움이 있다. 이에 본 연구에서는 이기종의 CNC 머신과 산업용 로봇 간 인터페이스를 하나의 통합 시스템으로 구성하였다. 또한 손쉽게 작업 설계 변경을 하기 위해 디지털 트윈을 구현하여 현장 작업자는 간단하게 변경을 가능하게 하였다. 이 시스템을 구현하기 위하여 이기종 CNC 공작기계에 대한 표준화된 인터페이스를 제공하는 지능형 HMI 플랫폼과 다양한 로봇을 제어할 수 있는 응용 소프트웨어 개발 플랫폼인 ROS 플랫폼의 통합 개발 환경을 구축하였다. 또한 손쉬운 작업환경을 위해 게임 엔진인 Unity3D를 사용하여 시스템 모델링 후 웹 브라우저 환경에서 머신 텐딩 원격 제어 및 실시간 모니터링 프로그램을 개발하였다.

• International Journal of Precision Engineering and Manufacturing
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• 제5권3호
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• pp.69-76
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• 2004

Polishing a die that has free-form surfaces is a time-consuming and tedious job, and requires a considerable amount of high-precision skill. In order to reduce the polishing time and cope with the shortage of skilled workers, an automatic polishing robot system was developed. The polishing robot system is composed of two subsystems, a three-axis machining center and a two-axis polishing head. The machining center is controlled by a FANUC controller, and the polishing head by DSP controller. The system has five degrees of freedom and is able to keep the polishing tool normal to the die surface during operation. To easily operate the developed polishing robot system, this study developed an integrated operating program in the Windows environment. The program consists of five modules: a polishing data generation module, a code separation module, a polishing module, a graphic simulator module, and a teaching module. Also, the automatic teaching system was developed to easily obtain teaching data and it consists of a three dimensional joystick and a proximity sensor. Also, to evaluate the performance of the integrated operating program and the polishing robot system, polishing experiments of a die of shadow mask were carried out.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.497-497
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• 2000

This paper is concerned with the design of LMI based H$_{\infty}$ controller for a line of sight(LOS) stabilization system. This system which is even linearized to analyse nonlinear characteristic has also a lot of uncertainties. In addition, the angular velocity disturbance from the vehicle's driving deteriorates the stabilized LOS, main purpose of this system. In case of fast driving, particularly, all components which are ignored and skipped to make mathematical modelling act as the uncertainties against this system. The robustness against these uncertainties has been also continuously demanded including the well tracking performance for the target. Therefore, this paper employed H$_{\infty}$ control theory to satisfy these problems and LMI method to make suitable controller with few constraints for this system. Although this system matrix doesn't have full rank, this method make it possible to design H$_{\infty}$ controller and deal with R and S matrices for reducing its order. Consequently, this paper shows that the re-analyses on the real disturbances are achieved and the proposed robust controller for them has better disturbance attenuation and tracking performance. This paper contributes the applicability of reduced order H$_{\infty}$ controller to real system by handling LMI..

• 대한기계학회논문집 C: 기술과 교육
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• 제1권2호
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• pp.147-152
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• 2013

본 논문은 산업통상자원부 R&D PD를 대상으로 여론 조사한 미래유망기술과 이에 연계된 뿌리기술에 대해 살펴보았다. 조사결과, R&D PD들은 미래 기술 트렌드는 기술의 융 복합화를 통한 인간중심의 기술과 기존의 성능을 뛰어넘는 임계성능의 신기술이 선보일 것으로 예상하였다. 특히 개인맞춤형 의료기술, 지능형/감성기반 시스템, 태양광발전, 플렉서블 소재 등의 산업분야가 유망할 것으로 예측하였다. 이 산업은 뿌리산업과 연관성이 크며, 이러한 산업을 발전시키기 위해서는 핵심뿌리기술의 개발이 절대적으로 필요하다. 궁극적으로 뿌리기술은 이러한 미래 유망산업의 지렛대 역할을 함과 동시에 제조기반의 든든한 뿌리가 될 것으로 기대된다.