• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.12 no.4
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• pp.434-439
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• 2019

This paper proposed a control algorithm to compensate the delay time to improve the signal to noise, and the proposed control algorithm estimate the target information to apply the continuous wave radar equation. The proposed control algorithm improves the output signal of each array element bv multiplying the weight of the receive signal to the signal to noise ratio. Radar radiate a signal in spatial and the target information is estimated by the echoed signal from the target. But the signal in the wireless communication environment occurs the delay time due to the multipath which appear human and natural structures. It is difficult to accurately estimate the desired information because of the degradation for the system performance due to the interference signal and the signal distortion. The target information can be improved by compensating the delay signal to apply the weight to the received signal by using the uniform linear array antenna. As a simulation result, we show that the performance of the proposed control algorithm and the non-compensated delay time are compared. The proposed control algorithm proved that the target distance estimation information is improved.

• The Journal of the Acoustical Society of Korea
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• v.36 no.1
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• pp.57-63
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• 2017

This paper presents an active acoustic-reflection control algorithm based on a single sensor. The proposed algorithm operates in a system comprising a single sensor located nearby the reflective surface and a control transducer mounted on the reflective surface. First, the incident and reflected acoustic signals are separated from the sensor signal, and a control signal is generated using the separated signals. For the signal separation, the proposed algorithm requires the response of the reflection path which is estimated from the acoustic response between an external sound source and the sensor. Finally, the control filter is adjusted using the FxLMS (Filtered-x Least Mean Square) algorithm. To verify the effectiveness of the proposed algorithm, it was implemented in real time using a DSP (Digital Signal Processing) board, and the experimental results obtained in one-dimensional air-acoustic environment show that the reflections of the 1 kHz burst can be reduced by 11.6 dB.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.822-823
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• 2015

본 논문은 시스템의 출력 신호가 복소지수함수의 형태인 경우 시스템을 추정하고 이를 이용한 제어에 관한 논문이다. 제안한 방법은 시스템의 출력 신호가 복소지수함수의 형태라면 이산푸리에변환을 통하여 중요모드에서의 첨두주파수와 제동계수를 추정하고, 이를 이용하여 시스템의 전달함수를 2차의 표준형 전달함수를 이용하여 간단하게 추정한다. 그리고 제어기는 이 추정한 전달함수를 이용하여 사용자가 원하는 응답을 나타내도록 설계하였다. DC모터의 위치제어 시스템의 실험을 통하여 제안한 방법의 타당성과 효율성을 검증하였다.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2344-2346
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• 2004

시간-주파수 영역 반사파 계측 시스템의 상용화를 위해서 현재 범용 장비들을 통해 구현되었던 신호 발생부, 신호 습득부. 신호 분배부, 신호 처리부의 실제 구현이 필요하다. 따라서, 본 논문에서는 그 첫 번째 단계로 시간-주파수 영역 반사파 계측 시스템에서 핵심부분인 신호 발생기를 AD9854 칩과 mega128 컨트롤러를 이용해 구현한다. 시간-주파수 영역 반사파 계측시스템의 신호 발생기 부분은 시간-주파수 영역 반사파계측 방법의 기준 신호인 첩 신호를 발생시키는 부분이다. 긴 주기를 가지는 첩 신호를 실제로 발생시키기 위해 아날로그 디바이스(Analog Device)사의 범용 통신칩으로 사용되는 AD9854와 AD9854를 제어하기 위해 아트멜(Atmel)사의 mega 128 컨트롤러를 사용하여 구현한다. 구현된 첩 신호 발생기를 실제 시간-주파수 영역 반사파 계측 시스템에 적용하여 그 성능을 검증한다.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.45-52
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• 2017

EEG signals that are the same as those that have the same disabled people. So, the EEG signals are becoming the next generation. In this paper, we propose an internet of things system that controls the indoor environment using EEG signal. The proposed system consists EEG measurement device, EEG simulation software and indoor environment control device. We use data as EEG signal data on emotional imagination condition in a comfortable state and logical imagination condition in concentrated state. The noise of measured signal is removed by the ICA algorithm and beta waves are extracted from it. then, it goes through learning and test process using SVM. The subjects were trained to improve the EEG signal accuracy through the EEG simulation software and the average accuracy were 87.69%. The EEG signal from the EEG measurement device is transmitted to the EEG simulation software through the serial communication. then the control command is generated by classifying emotional imagination condition and logical imagination condition. The generated control command is transmitted to the indoor environment control device through the Zigbee communication. In case of the emotional imagination condition, the soft lighting and classical music are outputted. In the logical imagination condition, the learning white noise and bright lighting are outputted. The proposed system can be applied to software and device control based BCI.

• Proceedings of the IEEK Conference
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• 2000.09a
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• pp.505-508
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• 2000

본 논문에서는 16채널 혹은 8채널의 센서를 통해 들어오는 저주파대역의 아날로그 신호를 수집하고. 수집된 데이터를 실시간으로 처리하기 위한 고속의 신호처리 기능이 결합된 통합 DSP (Digital Signal Processor)시스템을 구현하였다. 구현된 시스템은 휴대가 용이하도록 소형으로 설계되어 있으며 노트북 등의 이동형 장비에 활용되도록 USB 인터페이스를 채택하였으며, 장치간의 네트워크 구성이 가능하도록 Ethernet 인터페이스를 추가하였다 Digital Signal Processor는 Texas Instrument 사의 TMS320C6701 부동소수점 연산방식의 고성능 DSP를 사용하여 16채널의 실시간 신호 분석이 가능하게 하였으며, ICP 센서 구동용 전류 공급부를 내장하여 센서 선택의 폭을 넓히었고, programmable gain amplifier인 PGA202증폭기를 사용하여 입력신호가 작을 경우 최대 1000배, 즉 60dB까지 입력신호를 증폭하여 수집 및 분석할 수 있다. 200kSPS의 샘플링 레이트와 16bit resolution을 가지는 AD976 A/D converter를 사용하여 채널당 0～6kHz의 신호대역폭을 가지며,differential 입력시 8 채널,single ended 입력시 16 채널의 입력 신호의 수집 및 분석이 가능하다. Windows 응용프로그램에서는 사용자가 원하는 입력신호 및 스펙트럼 실시간 분석, 입력신호 기록 및 저장, RPM 측정 및 분석, 외부 트리거 및 레벨 트리거를 이용한 입력신호 제어와 수집된 데이터를 바탕으로 원하는 제어가 가능한 응용프로그램 제작에 활용될 라이브러리가 포함된다.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.2
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• pp.81-99
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• 1994

최근 항공기 착륙시스템을 자동화하려는 노력이 활발히 진행되고 있다. 제어이론의 발달에 따라 최적제어, 적응제어, 지능제어와 같은 최신제어이론을 적용하여 Blind Landing System의 개발에 박차를 가하고 있다. 본 연구에서는 ILS로부터 나오는 신호를 받아 정해진 Glide Path를 추종하고 또한 일정고도에 도달하면 플래어하여 안전하게 접지할 수 있도록 하는 제어시스템을 개발하고자 항공기의 자동착륙시스템을 위한 제어기법들을 연구하였다.

• Journal of the Korean Institute of Intelligent Systems
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• v.10 no.5
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• pp.401-408
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• 2000

In this paper, we proposed a fuzzy controller that founded by the general feedback control with the new adjustment method when it's tuning. The general feedback controller is operated that supply to the plant making the control input multiplying the appropriate gain of controller on the error between the output of the plant and the reference, But proposed feedback fuzzy controller consist of three loops. The inner loop consists of plant and an ordinary feedback controller. The fuzzy inference of controller performed by the outer loops, which is composed of a fuzzy modeling and inference. We can observe that the output of control system converges toward the reference. Also, the behaviour of feedback fuzzy system is converged from the transient. That is, we verified that designed fuzzy controllers was adapted effectively through the experiments in the hydraulic motor system using floating point DSP processor.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.31 no.8
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• pp.44-49
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• 2003

In case of an extrinsic Fabry-Perot interferometric sensor, the phase compensating technique is particularly necessary in applying the interferometer to detecting acoustic emission signals because of signal-fading problems. The technique makes it possible to maintain the phase at the quadrature point. In this paper, we developed the stabilization control sensor system that is composed of a broadband light source, a tunable Fabry-Perot (F-P) filter and a control-circuit board. A tension test of a composite specimen was performed to verify if the developed system could compensate the phase change induced from the tension strain and keep the phase at the quadrature point.

• Journal of the Institute of Convergence Signal Processing
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• v.8 no.2
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• pp.130-135
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• 2007

This paper deals with a controller design for a 2 dimensional aeroelatic model which has unknown parameters including polynomial type nonlinearity. Actually in case of state and acuator signal having magnitude, rate and bandwidth limitations, the controller can't be implemented and so in each case, a filter is used for implementation. First, error signals are defined upon the backstepping theory, and tracking error signals are also defined due to command signal and filter signals and then compensated tracking error signals are defined. Lastly, a Lyapunov function is defined for the stabilization and from this method, an adaptive law is derived. Simulations are done for the demonstrtion of the effectiveness of the algorithms.