Motor Failure Detection in FPGA-Based Fault-Tolerant Quadcopters

被引：3

作者：

Abouelghit, Fady A. ^{[1
]}

Alkady, Gehad, I ^{[1
]}

Daoud, Ramez M. ^{[1
]}

Amer, Hassanein H. ^{[1
]}

Adly, Ihab ^{[2
]}

机构：

[1] Amer Univ Cairo AUC, Elect & Comm Engn Dept, Cairo, Egypt

[2] British Univ Egypt, Elect Engn Dept, Cairo, Egypt

来源：

2020 32ND INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM) | 2020年

关键词：

FPGA; reliability; quadcopters; DPR; accelerometer; SEARCH; DRONES;

D O I：

10.1109/ICM50269.2020.9331801

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Quadcopters have recently become a very important component in search and rescue missions. This paper proposes solutions to several problems facing quadcopters in such missions. First, a fault-tolerant FPGA-based architecture is developed which can recover from both soft and hard failures. It is then proven through reliability modeling that this architecture has a considerably higher lifetime than a similar architecture with no fault tolerance. Second, it is shown how to use accelerometers to detect motor faults in order to improve mission decision-making.

引用

页码：113 / 116

页数：4

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