The aircraft industry has long used cutting-edge technologies to ensure equipment security, dependability, and performance. In aerospace applications, fault tolerance-the ability of a system to perform reliably despite errors or failures-is essential. Developing devices that work well even when things go wrong is vital. Using a Smart Multiphase Power Converter (SMPC) and a Model Reference Adaptive Control (MRAC) algorithm, this abstract improves aircraft fault tolerance. Multiphase power converters are increasingly used in airplanes due to their high power density, fault tolerance, and efficiency. The MRAC algorithm controls this operation. MRAC continuously optimizes system settings to match the reference model. MRAC algorithms adapt aeronautical control systems to maintain peak performance despite external interference, changing operational parameters, and broken parts. Combining the SMPC and MRAC algorithms in aerospace fault-tolerant machine design has many benefits. First, it checks the system's state and adjusts the controller parameters to account for any deviations from the ideal, ensuring great reliability. In conclusion, smart multiphase power converters and model reference adaptive control can improve aeronautical fault-tolerant machine architecture. This technology benefits the aircraft sector with its fault tolerance, efficiency, and adaptability. As aerospace technology advances, imaginative solutions are essential for safe and reliable future missions in Earth's atmosphere and beyond. Space operations can be safer and more efficient because to this study's implications for machinery design that can withstand extreme circumstances.


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    Titel :

    Smart Multiphase Power Converter in the Fault-Tolerant Machine Development for Aerospace Applications


    Beteiligte:
    Aslam, S. (Autor:in) / Shamkuwar, Madhavi (Autor:in) / Babu, S. B G Tilak (Autor:in) / Suresh, J (Autor:in) / G, Pavithra (Autor:in) / L, Natrayan (Autor:in)


    Erscheinungsdatum :

    04.04.2024


    Format / Umfang :

    795513 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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