Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter

碩士 === 國立勤益科技大學 === 電機工程系 === 107 === This thesis proposes a smart fault-tolerant control system based on chaos theory and extension theory for locating faults and executing tolerant control in a three-level T-type inverter. First, the system constantly monitors the fault states of the 12 power tran...

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Main Authors: XU,FU-QIANG, 許富強
Other Authors: CHAO,KUEI-HSIANG
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/8bzf4e
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spelling ndltd-TW-107NCIT04420222019-11-17T05:27:35Z http://ndltd.ncl.edu.tw/handle/8bzf4e Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter 三階T型變頻器之智慧型故障診斷及容錯控制 XU,FU-QIANG 許富強 碩士 國立勤益科技大學 電機工程系 107 This thesis proposes a smart fault-tolerant control system based on chaos theory and extension theory for locating faults and executing tolerant control in a three-level T-type inverter. First, the system constantly monitors the fault states of the 12 power transistor switches of the three-level T-type inverter; if a power transistor fails, the corresponding output phase voltage waveform is converted by a Lorenz chaotic synchronization system. Chaos eye coordinates are then extracted from a scatter diagram of chaotic dynamic states and considered as fault characteristics. The system then executes fault diagnosis based on extension theory. The fault characteristic value is used as the input signal for correlation analysis; thus, the faulty power transistor can be located and fault diagnosis can be achieved for the inverter. The faulttolerant control system can maintain the three-phase balanced output of the three-level T-type inverter, thereby improving the reliability of the motor drive system. The feasibility of the proposed smart fault-tolerant control system was assessed by conducting simulations and experiments in this thesis, and the results verified its feasibility. CHAO,KUEI-HSIANG CHANG,LONG-YI 趙貴祥 張隆益 2019 學位論文 ; thesis 86 zh-TW
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language zh-TW
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description 碩士 === 國立勤益科技大學 === 電機工程系 === 107 === This thesis proposes a smart fault-tolerant control system based on chaos theory and extension theory for locating faults and executing tolerant control in a three-level T-type inverter. First, the system constantly monitors the fault states of the 12 power transistor switches of the three-level T-type inverter; if a power transistor fails, the corresponding output phase voltage waveform is converted by a Lorenz chaotic synchronization system. Chaos eye coordinates are then extracted from a scatter diagram of chaotic dynamic states and considered as fault characteristics. The system then executes fault diagnosis based on extension theory. The fault characteristic value is used as the input signal for correlation analysis; thus, the faulty power transistor can be located and fault diagnosis can be achieved for the inverter. The faulttolerant control system can maintain the three-phase balanced output of the three-level T-type inverter, thereby improving the reliability of the motor drive system. The feasibility of the proposed smart fault-tolerant control system was assessed by conducting simulations and experiments in this thesis, and the results verified its feasibility.
author2 CHAO,KUEI-HSIANG
author_facet CHAO,KUEI-HSIANG
XU,FU-QIANG
許富強
author XU,FU-QIANG
許富強
spellingShingle XU,FU-QIANG
許富強
Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
author_sort XU,FU-QIANG
title Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
title_short Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
title_full Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
title_fullStr Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
title_full_unstemmed Smart Fault-Tolerant Control and Locating Faults in a Three-Level T-Type Inverter
title_sort smart fault-tolerant control and locating faults in a three-level t-type inverter
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/8bzf4e
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