• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.65-68
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• 1999

In this study, an off-line automatic teaching method using vision information for robotic assembly task is proposed. Many of industrial robots are still taught and programmed by a teaching pendant. The robot is guided by a human operator to the desired application locations. These motions are recorded and are later edited, within the robotic language using in the robot controller, and played back repetitively to perform the robot task. This conventional teaching method is time-consuming and somewhat dangerous. In the proposed method, the operator teaches the desired locations on the image acquired through CCD camera mounted on the robot hand. The robotic language program is automatically generated and transferred to the robot controller. This teaching process is implemented through an off-line programming(OLP) software. The OLP is developed for the robotic assembly system used in this study. In order to transform the location on image coordinates into robot coordinates, a calibration process is established. The proposed teaching method is implemented and evaluated on the assembly system for soldering electronic parts on a circuit board. A six-axis articulated robot executes assembly task according to the off-line automatic teaching.

• Journal of Electrical Engineering and Technology
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• 제10권3호
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• pp.755-765
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• 2015

A thermostatically controlled load (TCL) can be one of the most appropriate resources for demand response (DR) in a smart grid environment. DR capability can be effectively implemented in a TCL with various intelligent control methods. However, because traditional on-off control is still a commonly used method in a TCL, it is useful to develop a method for adding DR capability to the TCL with an existing on-off controller. As a specific realization of supervisory control for implementing DR capability in the TCL, two methods are proposed - a method involving the changing of a set point and a method involving the paralleling of an identified system without delay. The proposed methods are analyzed through the simulations with an electric heater for different power consumption levels in the on-state. Considerable cost benefit can be achieved with the proposed methods when compared with the case without DR. In addition, the observations suggest that a medium power consumption level, instead of the maximum power, in the on-state should be used for consistently obtaining the cost benefit without severe temperature deviation from the specified temperature range for DR.

• Journal of Power Electronics
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• 제7권1호
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• pp.81-88
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• 2007

This paper presents a new approach to the automatic control of the turn-off angle used to excite the Switched Reluctance Motor (SRM) employed in electric vehicles (EV). The controller selects the turn-off angle that supports and improves the performance of the motor drive system. This control scheme consisting of classical current control and speed control depends on a lookup table to take the best result of the motor. The turn-on angle of the main switches of the inverter is fixed at $0^{\circ}C$ and the turn-off angle is variable depending on the reference speed. The motor, inverter and control system are modeled in Simulink to demonstrate the operation of the system.

• International journal of advanced smart convergence
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• 제4권2호
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• pp.103-108
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• 2015

The electric utility has the responsibility of reducing the impact of peaks on electricity demand and related costs. Therefore, they have introduced Direct Load Control System (DLCS) to automate the external control of shedding customer load that it controls. Since the number of customer load participating in the DLC program are keep increasing, DLCS operators a re facing difficulty in monitoring and controlling customer load. The existing DLCS needs constant operator intervention, e.g., whenever the load is about to exceed a predefined amount, it needs operator's intervention to control the on/off status of the load. Therefore, DLCS operators need the state-of-the-art DLCS, which can control automatically the on/off status of the customer load without intervention as much as possible. This paper presents an intelligent DLCS using the active database. The proposed DLCS is applying the active database to DLCS which can avoid operator's intervention as much as possible. To demonstrate the validity of the proposed system, variable production rules and intelligent demand controller are presented.

• 대한기계학회논문집
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• 제11권3호
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• pp.465-472
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• 1987

본 연구에서는 솔레노이드 밸브를 사용한 유압위치제어 시스템에 위에서 언급 한 두가지 단속적 제어 방법을 적용하여 각각의 제어변수들과 부하조건이 시스템의 시 간 영역에서의 응답특성에 미치는 영향을 실험적으로 규명하고 각각의 제어특성을 비 교 고찰하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 추계학술대회
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• pp.465-467
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• 2015

본 논문에서는 환경센서를 기반으로 한 스마트폰 연동형 듀얼모드 전원 스트립 제어기를 구현한다. 화재현황통계에 따르면 주거시설의 미확인 전기사고화재가 23.4%를 차지하고 있다. 사용자 부주의로 발생하는 이러한 화재사고를 줄이고 인명과 재산을 보호하기 위해서는 사용자의 편의성을 높인 스마트한 전원제어기술이 필요하다. 이를 위해 논문에서 구현한 듀얼모드 전원 스트립 제어기는 온도, 조도, 습도센서와 같은 환경센서로부터 수집된 데이터를 기반으로 사용자의 스마트폰과 연동하여 전원 스트립의 ON-OFF 동작을 두 가지 방식(수동모드/자동모드)으로 제어한다. 수동모드는 사용자가 스마트폰에 표시된 환경센서 데이터를 보고 강제적으로 전원 스트립의 ON-OFF 동작을 제어하고, 자동모드는 사용자가 미리 설정해 둔 임계치(threshold)를 환경센서 데이터가 벗어날 경우 자동으로 전원 스트립의 ON-OFF 동작을 제어한다. 실험실 테스트를 통해 전원 스트립 제어기의 듀얼모드가 성공적으로 동작함을 확인하였다.

• 한국생산제조학회지
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• 제25권3호
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• pp.237-243
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• 2016

Recently, technologies that produce biofuels from microalgae are being studied worldwide. It is necessary to significantly reduce the production costs of biofuels from microalgae for economic reasons. In this study, the growth curve of the microalgae was obtained using the batch-culture method, and the specific growth rate was predicted using the regression method. Based on the culture conditions of the estimated specific growth rate, the turbidity of the microalgae in the flat panel photobioreactor (PBR) was measured. Furthermore, an on-off control scheme was applied to the flat panel PBR in order to culture the microalgae continuously on the basis of turbidity. The parameters of the on-off control system were displayed by LabView. The on-off scheme of peristaltic pump was controlled based on the turbidity in the PBR. In addition, the turbidity values of growth curves were compared and analyzed in the continuous culture process using the on-off controller.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2010년도 하계학술대회 논문집
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• pp.283-283
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• 2010

Smart street light controller is a product with advance micro controller base for energy saving in conventional street lighting systems. Intelligent Street light controller are specially developed for automation and energy saving in conventional street light systems and lighting systems. It is so designed that it operates on sunrise & sun set timings according to longitude of particular location with facilitate to set month wise civil twilight timings to cope up with all seasons. Dimming (Power down) mode selection switch on/off at fixed times with relay or contactor. Night dimming, staggering and intelligent control reduces burn hours and increases the lifetime of lamps with about 30% and low annual operating cost type base are among the most inexpensive wireless technologies available. Low initial costs As PLC wireless, there is no need to establish cable connection.

• 전자공학회논문지B
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• 제29B권9호
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• pp.76-87
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• 1992

A novel self-organizing fuzzy plus PD control algorithm is proposed, where the proposed controller consists of a typical fuzzy reasoning part and self organizing part in which both on-line and off-line algorithms are employed to modify the Look-Up Table(LUT) for the fuzzy control rules and to decide how much fuzzy rules are to be modifid after evaluating the control performance, respectively. And the fuzzy controller is replaced by a PD controller in a prespecified region nearby the set point for good settling actions, where gain parameters are determined by fuzzy rules based on the magnitude of error velocity at the instant when the output penetrates into the prespecified region. To show the effectiveness of the proposed controller, extensive computer simulation results as well as experimental results are illustrated for an inverted pendulum system.

• 전자공학회논문지C
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• 제35C권6호
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• pp.56-66
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• 1998

본 논문은 비최소 위상 시스템을 보다 효율적으로 제어하기 위하여 기존의 PID 타입의 선형 제어기와 병렬적으로 구성된 신경망 제어기의 구성에 대하여 다룬다. 제안된 제어기의 제어 목표는 비최소 위상 시스템의 제어의 경우 흔히 나타나는 언더슛 현상을 최소화하면서 설정된 시스템 응답과의 응답 오차가 최소화하는 것이다. 전체 비용 함수는 고려된 두 가지의 개별 목적 함수간의 선형 합으로 이루어 진다. 신경망 제어기는 주어진 전체 제어 시간 동안의 제어 성능을 광역 평가를 통하여 주어진 전체 비용 함수를 최소화하는 최적 제어기를 구성하도록 진화 프로그래밍을 이용하여 off-line으로 학습된다. 일반적인 컴퓨터 모의 실험으로 계단 신호 응답에서 나타나는 빠른 settling 시간, 작은 언더슛과 오버슛과 같은 제어 성능 향상의 관점에서 기존의 선형 제어 시스템의 성능에 비해 훨씬 효과적이라는 것을 보인다. 또한, 파렛토(pareto) 다중 최적화 개념을 도입하여 선형 합으로 이루어진 비용 함수 최적화의 한계성과 문제점을 극복한다.