In recent years, aircraft accidents have highlighted the critical need for advanced control systems to enhance flight safety and prevent catastrophic events. The proposed control system utilizes high-precision sensors (accelerometers, gyroscopes, radar, optical) to gather real-time data on the aircraft's position, orientation, speed, and environmental conditions. Intelligent algorithms and predictive models process this data to accurately assess risks and predict hazardous scenarios Adaptive control algorithms dynamically adjust control surfaces, engine thrust, and flight control parameters to maintain stability and maneuverability. The system prioritizes proactive measures, employing predictive algorithms to anticipate hazards and adjust the aircraft's configuration and trajectory. The proposed control system will undergo rigorous testing through advanced simulations and real-world flight trials. Its performance and effectiveness in preventing accidents will be evaluated across various scenarios. By combining cutting-edge technologies, intelligent algorithms, adaptive controls and pilot assistance, the proposed control system aims to revolutionize flight safety, reducing accidents and ensuring passenger and crew safety.


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    Titel :

    Design of Aircraft Control System for Accident Prevention


    Beteiligte:
    Puviyarasi, B. (Autor:in) / Suveka, S. (Autor:in) / Logaadhashini, G. (Autor:in) / Shruthi, P.D. (Autor:in)


    Erscheinungsdatum :

    14.12.2023


    Format / Umfang :

    473067 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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