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IEEE International Conference on systems, Man, and Cybernetics (SMC)

作者： Meynen, Soenke Hohmann, Soeren Fessler, Dirk Karlsruhe Univ Appl Sci Fac Elect Engn Karlsruhe Germany Karlsruhe Inst Technol Inst Control Syst Karlsruhe Germany

ISBN: (纸本)9781728185262

This paper presents a new robust fault detection and isolation (FDI) strategy for distributed and decentralized systems. Such a system consists of several interconnected subsystems. A novel FDI system architecture is designed for these systems. Each subsystem is assigned to a local fault detector performing a part of the overall fault detection algorithm. Fault isolation is performed in a separate global fault isolator. Consistency-based methods based on state-set observation are used for robust FDI. Moreover, this paper introduces a faster fault isolation. For this, the search-space containing all fault candidates is split. Possible network effects in the communication between the computing units are also considered. A simulation example of a three-tank system is used to illustrate the effectiveness of this FDI strategy.

关键词： fault diagnosis distributed and decentralized systems uncertain systems consistency check network effects

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Adaptive Prognostic Malfunction Based Processor for Autonomous Landing Guidance Assistance System Using FPGA

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IEEE ACCESS 2024年 12卷 2113-2122页

作者： Ahmed, Hossam O. Wyatt, David Amer Univ Middle East Coll Engn & Technol Egaila 54200 Kuwait Pixeldisplay San Jose CA 95134 USA

The demand for more developed and agile urban taxi drones is increasing rapidly nowadays to sustain crowded cities and their traffic issues. The critical factor for spreading such technology could be related to the safety criteria that must be considered. One of the most critical safety aspects for such vertical and/or Short Take-Off and Landing (V/STOL) drones is related to safety during the landing stage, in which most of the recent flight accidents have occurred. This paper focused on solving this issue by proposing decentralized processing cores that could improve the landing failure rate by depending on a Fuzzy Logic System (FLS) and additional Digital Signal Processing (DSP) elements. Also, the proposed system will enhance the safety factor during the landing stages by adding a self-awareness feature in case a certain sensor malfunction occurs using the proposed Adaptive Prognostic Malfunction Unit (APMU). This proposed coarse-grained Autonomous Landing Guidance Assistance System (ALGAS4) processing architecture has been optimized using different optimization techniques. The ALGAS4 architecture has been designed completely using VHDL, and the targeted FPGA was the INTEL Cyclone V 5CGXFC9D6F27C7 chip. According to the synthesis findings of the INTEL Quartus Prime software, the maximum working frequency of the ALGAS4 system is 278.24 MHz. In addition, the proposed ALGAS4 system could maintain a maximum computing performance of approximately 74.85 GOPS while using just 166.56 mW for dynamic and I/O power dissipation.

关键词： Unmanned aircraft systems sensor fusion cyber-physical systems fuzzy logic systems decision support systems distributed and decentralized systems FIR filter FPGA

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Fault Tolerant Processing Unit Using Gamma Distribution Sliding Window For Autonomous Landing Guidance System 21

Fault Tolerant Processing Unit Using Gamma Distribution Slid...

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21st IEEE Interregional NEWCAS Conference (NEWCAS)

作者： Ahmed, Hossam O. Amer Univ Middle East Coll Engn & Technol Egaila Kuwait

ISBN: (纸本)9798350300246

To keep up with today's dense metropolitan areas and their accompanying traffic problems, a growing number of towns are looking for more advanced and swift urban taxi drones. The safety parameters that must be taken into consideration may be the most important element in the widespread use of such technology. Most recent aviation mishaps have happened during the landing phase, making this a particularly important safety consideration for Vertical and/or Short Take-Off and Landing (V/STOL) drones. In this study, we focused on improving the fault tolerance of the processor architectures used by the predecessors of Autonomous Landing Guidance Assistance systems (ALGAS), which in turn improves their decision-making capabilities. Furthermore, this is achieved by proposing a fault-tolerant processing architecture that depends on the Gamma Distribution Sliding Window Unit (GDSWU). This proposed GDSWU has been designed completely using VHDL, and the targeted FPFA was the Intel Cyclone V 5CGXFC9D6F27C7 chip. The GDSWU could operate at a maximum frequency of 369.96 MHz, as calculated by the synthesis results of the INTEL Quartus Prime program. The suggested GDSWU core only requires 20.36 mW for dynamic core and I/O power consumption.

关键词： unmanned aircraft systems sensor fusion cyber-physical systems fuzzy logic systems decision support systems distributed and decentralized systems fir filter FPGA

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