It is highly predicted that the roads and parking areas will be extremely congested with vehicles to the point that searching for a novel solution will not be an optional choice for conserving the sustainability rate of the overall humanity’s development growth. Such issue could be overcome by developing modified generations of the Urban Air Mobility (UAM) vehicles that essentially depend on the Vertical and/or Short Take-Off and Landing (V/STOL) feature to increase the efficiency of landing capabilities on limited- space parking areas. The complexity of integrating an efficient and safe V/STOL feature in such UAM vehicles is notably difficult comparing with the conventional and normal techniques for landing and take-off. The efficient V/STOL feature should be carried out by a complete and collaborative Cyber-Physical System (CPS) processing architecture, such as the CPS-5C architecture. In this paper, we only proposed two CPS-5C physical layers of a V/STOL Autonomous Landing Guidance Assistant System (ALGAS2) processing unit to increase the reliability of the vertical landing mechanism.The proposed V/STOL – ALGAS2 system depends on Fuzzy Logic System (FLS) as the advanced control unit. Furthermore, the proposed ALGAS2 system depends on four symmetric and segregated processing ALGAS2 cores that processing the data in a fully parallel and independent manner to enhance many essential security and safety factors for the futuristic UAM vehicles. The proposed ALGAS2 digital circuits architecture has been designed using MATLAB and VHDL. Also, it has been further analyzed for the implementation and validation tests using the Intel Altera OpenVINO FPGA board. The proposed ALGAS processing unit attained a maximum computational processing performance of about 21.22 Giga Operations per Seconds (GOPS).


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    Titel :

    Segregated FLS Processing Cores for V/STOL Autonomous Landing Guidance Assistant System Using FPGA


    Beteiligte:


    Erscheinungsdatum :

    20.04.2021


    Format / Umfang :

    3367129 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Precision landing guidance for advanced V/STOL

    BERGER, R. / SODERHOLM, R. / HIGBEE, V. | AIAA | 1984


    V/STOL Guidance Systems for Approach and Landing

    Meyer, M. A. | SAE Technical Papers | 1970



    Fuel conservative guidance for shipboard landing of powered-lift STOL aircraft

    WARNER, D. N. / MCGEE, L. A. / MCLEAN, J. D. et al. | AIAA | 1986


    Fuel conservative guidance for shipboard landing of powered-lift STOL aircraft

    Warner, D. N., Jr. / Mcgee, L. A. / Mclean, J. D. et al. | NTRS | 1985