• Title/Summary/Keyword: Signal Control System

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Active Control of Noise from Fan Blowers in Tower-type Air Conditioners (타워형 에어컨 송풍기 소음의 능동제어)

  • Ryu, Kyungwan;Hong, Chinsuk;Jeong, Wei Bong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.27 no.1
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    • pp.87-93
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    • 2017
  • This paper investigates active noise control of tower-type air conditioners using the filtered-x least mean square (FXLMS) algorithm to reduce fan blower noise transmission. Firstly, the main components required for the active control system including the error sensor, the control speaker and the reference sensors are selected. Since the noise could significantly reduce if the reference signal includes every frequency response information, a various reference signals from accelerometers and a microphone are used. Secondly, the controller based on the FXLMS algorithm with a single-channel reference signal is implemented. Then, the control performance is examined experimentally for the different reference signals. It is found that the accelerometer signal well possesses the motor vibration related noise and a microphone signal could includes global noise. When using the reference signal with a microphone located near the motor and the fan blower, the active control system reduces the noise globally, except for several peaks.

Merits of all-electric subsea production control system

  • Oh, Jin-Seok;Kang, Se-Ra
    • Journal of Advanced Marine Engineering and Technology
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    • v.38 no.2
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    • pp.162-168
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    • 2014
  • Recently, researches on all-electric subsea system have been in progress. This paper describes a subsea tree using a lot of electrical signal and subsea control system. The way of subsea control is classified as all-electric systems or electro hydraulic systems. One of that has more merits in terms of cost, weight, power consumption, etc. because it uses electric signal instead of hydraulic signal. This paper describes the difference of each system's power consumption and simulation. As the result, if each system applies the same number of sensors, actuators, etc. The power consumption of all-electric system's load is less than at least 400kWh/day compared to the electro hydraulic system load.

Design of a Low Power Voice Signal Processing and Control Module using a $\mu$-controller for Totally Implantable Middle Ear system (마이크로컨트롤러를 이용한 완전 이식형 인공중이용 저전력 음성 신호처리 및 제어 모듈의 설계)

  • 강호경;정의성;임형규;박일용;윤영호;김민규;송병섭;조진호
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.41 no.5
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    • pp.49-56
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    • 2004
  • A low power consuming voice signal processing and control module was designed using a small $\mu$-controller for use in a totally implantable middle ear system. The module was designed that it can control the implanted system as well as process the fitting algorithm of input sound signal. In ordinary operation mode, the $\mu$-controller processes the applied sound signal for compensating the hearing loss of the patients. When the control signal is applied from the IR receiving module, the $\mu$-controller interrupts the signal processing and executes the order of the control signals such as power on/off, volume up/down. The designed module was implemented and verified the performance of the system through several experiments.

Robust and High Performance Control for Optical Disk Drive Systems Using Error based Disturbance Observer

  • Kwangjin Yang;Chung, Wan-Kyun;Youngil Youm
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.34.2-34
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    • 2001
  • There are many control methods guaranteeing the robustness of systems. Among them, H$\infty$ control, sliding mode control and disturbance observer have been used widely. Especially, disturbance observer(DOB) is one of the most popular methods because it is easy to apply and the cost to pay is low due to its simplicity. Conventional DOB utilizes output signal as a feedback signal. But in Optical Disk Drive(ODD) systems, the Position Error Signal(PES) is the only available one. So conventional DOB is not applicable. If we use error signal in stead of output signal, another form of DOB is made. We call it as Error based Disturbance Observer(EDOB). We show in this paper the difference between two systems, namely conventional DOB system and the EDOB system, and also show the effectiveness of EDOB through experiment.

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Modeling and Control of Intersection Network using Real-Time Fuzzy Temporal Logic Framework (실시간 퍼지 시간논리구조를 이용한 교차로 네트워크의 모델링과 제어)

  • Kim, Jung-Chul;Lee, Won-Hyok;Kim, Jin-Kwon
    • Journal of Institute of Control, Robotics and Systems
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    • v.13 no.4
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    • pp.352-357
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    • 2007
  • This paper deals with modeling method and application of Fuzzy Discrete Event System(FDES). FDES have characteristics which Crisp Discrete Event System(CDES) can't deals with and is constituted with the events that is determined by vague and uncertain judgement like biomedical or traffic control. We proposed Real-time Fuzzy Temporal Logic Framework(RFTLF) to model Fuzzy Discrete Event System. It combines Temporal Logic Framework with Fuzzy Theory. We represented the model of traffic signal systems for intersection to have the property of Fuzzy Discrete Event System with Real-time Fuzzy Temporal Logic Framework and designed a traffic signal controller for smooth traffic flow. Moreover, we proposed the method to find the minimum-time route to reach the desired destination with information obtained in each intersection. In order to evaluate the performance of Real-time Fuzzy Temporal Logic Framework model proposed in this paper, we simulated unit-time extension traffic signal controller model of the latest signal control method on the same condition.

PID Control structure for Model following control (모델 추종 제어를 위한 PID 제어기법)

  • 이창호;김종진;하홍곤
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2003.06a
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    • pp.165-168
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    • 2003
  • In this paper the design of the model following control system is proposed using the PID control structure. The games of the PID controller in the proposed control system are automatically adjusted by back-propagation algorithm of the neural network. And applying to the position control system, it's performance is verified through the results of computer experiment.

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Design and Development of an Electronic Control Unit of the Automobile Engine for Optimal Fuel Injection and Spark Timing Control (최적의 연료분사와 점화시기 제어를 위한 자동차 엔진용 전자제어장치 설계 및 개발)

  • 김태훈
    • Journal of Advanced Marine Engineering and Technology
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    • v.25 no.3
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    • pp.644-654
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    • 2001
  • In this paper, an electronic control unit of the automobile engine for optimal fuel injection an spark timing control has been designed and developed. This system includes hardware and software for a precise control of fuel injection and ignition timing. Especially, the crank angle sensor provides two separate signals: One is the position signal (POS) which indicates 180 degree pulses per revolution, and the other is the reference signal (REF) that represents each cylinder individually. Consequently, the developed engine control system has been able to control fuel injection and ignition timing more quickly and accurately. Through the experiment, it has been found that the fuel injection duration and the position of MBT have been influenced by coolant temperature, air flow rate and engine speed.

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Implementation of Software Defined Radio Module for Channel Decomposition and Composition of Multiple CDMA Signal (다중 CDMA 신호의 채널 분리합성을 위한 Software Defined Radio 모듈의 구현)

  • Rho Byeon-Ho;Jeong Sang-Guk;Rho Seung-Ryong;Kim Yun-Il
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.5
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    • pp.438-443
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    • 2006
  • In this paper, We had proposed SDR module, and designed FPGA to compose with channel separation of broadband CDMA signal what have multiple FA. At decomposition and composition process of multiple FA CDMA signal, system only progress decomposition and composition of channel selected by software. Therefore, proposed system can manage base station transceiver system very effectively than the other way what send on all band of multiple CDMA signal. Also, it is possible that system sets again coefficient of each filter because it is consisted of SDR module. Therefore, we can easily control coefficient each filter according to base station transceiver system environment.

Chaos system control via discrete signals (이산 신호에 의한 카오스 시스템 제어)

  • 양기철;권세현;안기형
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.147-150
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    • 1997
  • In the study, we consider chua's circuit which is a paradigmatic chaotic system belonging to Lur'e form. It is shown that the dynamic behavior of such a system can be influenced in such a way as to obtain out of chaotic behavior a desired periodic orbit corresponding to an unstable periodic trajectory which exists in the system. This kind of control can be achieved via injection of a single continuous time signal representing the output of the system associated with an unstable periodic orbit embedded in the chaotic attractor We investigate the case when this signal is sampled, i.e. we supply to the system the control signal at discrete time moments only.

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