• Title/Summary/Keyword: 다채널 제어 알고리듬

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Active Vibration Control of Acoustically Loaded Flexible Plate Enclosure Using Multi-Channel Control Algorithm (다채널 제어알고리듬을 이용한 음향 가진된 밀폐계 평판의 능동진동제어)

  • Hong, Jin-Seok;Park, Su-Hong;Kim, Heung-Seop;O, Jae-Eung;Jeong, Jin-Tae
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.24 no.6 s.177
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    • pp.1390-1397
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    • 2000
  • This paper presents the multi-channel active vibration control of a flexible plate of the acoustically loaded enclosure. The flexible plate was excited acoustically with sinusoidal and white noise input. The control was performed by two piezo ceramic actuators and two accelerometers. The experimental results were compared with the single channel control results. In the case of white noise input, 20 dB of vibration reduction was achieved below 300Hz frequency range. The experimental results demonstrate that multi-channel filtered-x LMS algorithm is effective than single-channel filtered-x LMS algorithm in active vibration control of plate.

The Implementation of the Real-Time Active Noise Control System for Attenuating the Engine Noise in a Car (자동차 실내에서의 엔진 소음 감쇠를 위한 실시간 능동 소음 제어 시스템의 구현)

  • Kwon, Oh-Sang;Cha, Il-Whan
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.4
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    • pp.11-20
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    • 1997
  • The passive noise control techniques used until now cancel the noise in terms of the characteristics of materials, which increase the mass and the dimension and have a limit that is effective only to attenuate the high frequency components of the noise. But the active noise control techniques developed in recent years have merits that they decrease the mass and the dimension and are effective to attenuating the low frequency noises. In this paper, the real-time active noise control system attenuating the engine booming noise in a car using the digital signal processing(DSP) techniques in terms of the principle of active noise control. The multiple-error filtered-x LMS(Least-Mean Square) algorithm is used as the adaptive algorithm for active noise control and is implemented using the DSP processor Motorola DSP56001 as a controller. According to the result that the experiments are performed for the engine as the RPM changes in a car, the noise attenuating performances are achieved in an overall car interior and is verified to be 20 dB higher for pure-tone and globally, 15 dB.

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Development of Auto-tuning Temperature Controller with Multi-channel (다중채널을 갖는 오토튜닝 온도 제어기 개발)

  • Lee, Kap Rai
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.4
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    • pp.419-427
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    • 2018
  • This paper designs and develops auto-tuning temperature controller with multi-channel, which controller with multi-channel could control a number of control system simultaneously. This controller has multi-channel input and output. And a number of control algorithms run in this controller simultaneously and independently. Firstly we present design method of controller with multi-channel. Secondly we design electrical circuit of sensor input, controller output and power control for temperature control board. And finally we design data protocol for serial communication to monitor control state and present verification of temperature controller with muiti-channel through field experiment.

Vapor Recognition Using Image Matching of Micro-Array Sensor Response from Portable Electronic Nose (휴대용 전자 후각 장치에서 다채널 마이크로 센서 신호의 영상 정합을 이용한 가스 인식)

  • Yang, Yoon-Seok
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.2
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    • pp.64-70
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    • 2011
  • Portable artificial electronic nose (E-nose) system suffers from noisy fluctuation in surroundings such as temperature, vapor concentration, and gas flow, because its measuring condition is not controled precisely as in the laboratory. It is important to develop a simple and robust vapor recognition technique applicable to this uncontrolled measurement, especially for the portable measuring and diagnostic system which are expanding its area with the improvements in micro bio sensor technology. This study used a PDA-based portable E-nose to collect the uncontrolled vapor measurement signals, and applied the image matching algorithm developed in the previous study on the measured signal to verify its robustness and improved accuracy in portable vapor recognition. The results showed not only its consistent performance under noisy fluctuation in the portable measurement signal, but also an advanced recognition accuracy for 2 similar vapor species which have been hard to discriminate with the conventional maximum sensitivity feature extraction method. The proposed method can be easily applied to the data processing of the ubiquitous sensor network (USN) which are usually exposed to various operating conditions. Furthermore, it will greatly help to realize portable medical diagnostic and environment monitoring system with its robust performance and high accuracy.