• Journal of Korean Electronics
• /
• v.4 no.2
• /
• pp.122-127
• /
• 1984

• Journal of Korean Electronics
• /
• v.3 no.5
• /
• pp.77-81
• /
• 1983

• 전기의세계
• /
• v.48 no.6
• /
• pp.36-41
• /
• 1999

• 전기산업
• /
• v.1 no.1
• /
• pp.44-52
• /
• 1990

• ETRI Journal
• /
• v.5 no.4
• /
• pp.65-72
• /
• 1983

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.7
• /
• pp.52-60
• /
• 2019

The control circuit of the CPP applied to FFX Batch-I and LST-II may be capable of generating a backward pitch even when the grounding phenomenon occurs in the other system. The purpose of this study was to improve the CPP control circuit to maintain the pitch even in the event of grounding. Since the CPP control circuit changes the propeller angle with the voltage difference input, it has a design structure that can be vulnerable if the input voltage fluctuates instantaneously. In order to solve the above problem, a terminating resistor is applied to the end of the control wire and a signal converter is applied between the control wires, as a way to improve the CPP control circuit design. In order to verify that there is no problem in improving the CPP control circuit design, the CPP pitch change control was tested in the actual sailing commissioning with LST-II. Since the command pitch value and the feedback pitch value are very similar to each other, it is confirmed that the CPP control circuit is suitable for the control signal transmission because there is no problem in transmitting the control signal.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.6 no.1
• /
• pp.49-56
• /
• 2001

This paper presents a new approach to the problem based on neural network methods. Instead of using general controllers, neural networks PID control are used to control AC servo motor. The most popular and widely used control method in servo system control loops is PID type. PID controller has the features of simple structure, stability and reliability. But it has limitations in complex system control and can not remain above virtues under the conditions of parameters uncertain and environment uncertainties. AC servo motor controller is designed for drive of the cartesian coordinate type for machine tools.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.2
• /
• pp.395-400
• /
• 2017

The paper discussed the air-to-fuel ratio control of automotive fuel-injection systems using the cerebellar model articulation controller(CMAC) neural network. Because of the internal combustion engines and fuel-injection's dynamics is extremely nonlinear, it leads to the discontinuous of the fuel-injection and the traditional method of control based on table look up has the question of control accuracy low. The advantages about CMAC neural network are distributed storage information, parallel processing information, self-organizing and self-educated function. The unique structure of CMAC neural network and the processing method lets it have extensive application. In addition, by analyzing the output characteristics of oxygen sensor, calculating the rate of fuel-injection to maintain the air-to-fuel ratio. The CMAC may easily compensate for time delay. Experimental results proved that the way is more good than traditional for petrol control and the CMAC fuel-injection controller can keep ideal mixing ratio (A/F) for engine at any working conditions. The performance of power and economy is evidently improved.

• Proceedings of the KIEE Conference
• /
• 1998.07b
• /
• pp.801-803
• /
• 1998

가압경수형 원전에서 증기발생기의 수위제어가 저출력하에서 유체거동이 부정확하고 비정상적이어서 기존의 PI제어기 만으로는 파라메타 설정이 곤란하여 효과적인 제어가 어렵다. 이러한 문제점을 개선하고자 인공지능기법의 일종인 신경회로망을 이용한 수위제어 알고리즘의 적용을 연구하였다. 저출력시에는 증기발생기내에서의 물리적인 현상이 상당히 복잡하여 정확한 수학적 모델링이 어렵기 때문에 기존의 PI제어기와는 별도로 입출력신호패턴에 근거한 수위변동의 경향인식으로 요구되는 수위레벨을 과도현상없이 안정적으로 제어 할 수 있었다. 이 연구결과에 기초하여 저출력시에 한하여 신경회로망을 적용한 컴퓨터로써 병렬운전을 수행한다면 효과적인 현장적용성을 높일 수가 있다.

• Bulletin of the Korean Space Science Society
• /
• 2009.10a
• /
• pp.50.1-50.1
• /
• 2009

광학탑재체 열제어 시스템(Cooling Unit)은 광학카메라가 우주환경 하에서 작동시 영상검출기(FPA)에서 발생하는 열을 효과적으로 발열하여 영상검출기의 온도를 최적으로 제어하는 시스템이다. 영상검출기(FPA)의 1회 orbit은 100분이며, 예열기간(Preheating) 최대 10분 동안 147W를 발열하고, 촬영기간(Imaging) 10분 동안 147W를 발열하여 1회 orbit 평균 32.6W를 발열하고, Parasitic heat load 15W를 고려하면 1회 orbit당 평균 총 50W를 발열 한다. 열제어 시스템은 50W를 효과적으로 발열하여 영상검출기의 온도를 $14^{\circ}C{\sim}26^{\circ}C$로 제어한다. 열제어 시스템은 Buffer Mass, Heat Pipe, Radiator로 구성된다. 열제에 시스템의 성능규격은 열주기시험, 열진공하 열전도시험 및 진동시험을 통하여 검증한다. 이 논문에서는 국내 기술로 개발되는 우주용 카메라 열제어 장치의 설계 및 해석, 제작현황 등을 소개하고자 한다.