• Title/Summary/Keyword: TMS320C32

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The Constant Output Power Control of SSRT FB DC-DC Converter by an Improved Phase-shift Control (개선된 위상 천이 제어에 의한 소프트 스위칭 공진형 FB DC-DC 컨버터의 정출력 제어)

  • 신동률;조용길;김동완;우정인
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.14 no.5
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    • pp.27-35
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    • 2000
  • This paper deals with a control strategy for constant output power of SSRT(Soft Switching Resonant Type) FB(Full Bridge) DC-DC converter by an improved phase shift controller. When the FB DC-DC converter for the high density and the high effect control is operated in high speed switching, the switching loss and switching stress of the switching devices are increased. So, the soft switching method, which has the phase shift control with the digital I-PD controller, must be use in order to reduce its. And the output voltage that controlled by the digital I-PD controller tracks a reference without steady state error in variable input voltage. The validity of control strategy that proposed is verified from simulation results and experimental results by the DSP(TMS320C32).

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A Study on The Development and Function Test of Digital Transformer Protection Relay Using The Induced Voltage (유기전압비를 이용한 디지털형 변압기 보호계전기 개발 및 성능시험에 관한 연구)

  • Jung, Sung-Kyo;Lee, Jae-Kyung;Kim, Han-Do;Choi, Dae-Gil;Kang, Yong-Chul;Kang, Sang-Hee
    • Proceedings of the KIEE Conference
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    • 2001.11b
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    • pp.216-218
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    • 2001
  • The transformer role is very important in power system operation and control; also its price is very expensive. Therefore many kinds of the efforts for transformer protection have been executed. So for as, current differential relay(87) has been mainly used for transformer protection. But current differential relaying method has several troubles as followings. Differential current can be occurred by transformers inrush current between winding1 and winding2 of transformer when transformer is initially energized. Also harmonic restrained element used in current differential relaying method is one of the causes of relays mal-operation because recently harmonics in power system gradually increase by power switching devices(SVC, FACTS, DSC, etc). Therefore many kinds of effort have been executed to solve the trouble of current differential relay and one of them is method using ratio of increment of flux linkages(RIFL) of the primary and secondary windings. This paper introduces a novel protective relay for power transformers using RIFL of the primary and secondary windings. Novel protective relay successfully discriminates between transformer internal faults and normal operation conditions including inrush and this paper includes real time test results using RTDS(Real Time Digital Simulator) for novel protective relay. A novel protective relay was designed using the TMS320C32 digital signal processor and consisted of DSP module. A/D converter module, DI/DO module, MMI interface module and LCD display module and developed by Xelpower co., Ltd.

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Implementation of Speech Recognizer using Relevance Vector Machine (RVM을 이용한 음성인식기의 구현)

  • Kim, Chang-Keun;Koh, Si-Young;Hur, Kang-In;Lee, Kwang-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.8
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    • pp.1596-1603
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    • 2007
  • In this paper, we experimented by three kind of method for feature parameter, training method and recognition algorithm of most suitable for speech recognition system and considered. We decided speech recognition system of most suitable through two kind of experiment after we make speech recognizer. First, we did an experiment about three kind of feature parameter to evaluate recognition performance of it in speech recognizer using existent MFCC and MFCC new feature parameter that change characteristic space using PCA and ICA. Second, we experimented recognition performance or HMM, SVM and RVM by studying data number. By an experiment until now, feature parameter by ICA showed performance improvement of average 1.5% than MFCC by high linear discrimination from characteristic space. RVM showed performance improvement of maximum 3.25% than HMM in an experiment by decrease of studying data. As such result, effective method for speech recognition system to propose in this paper derives feature parameters using ICA and un recognition using RVM.