This paper presented a stochastic robustness analysis and synthesis procedure for the verification and clearance of flight control laws applied to major transport aircraft flight missions. The uncertainty parameters existed in the flight control system were modeled, and the Monte Carlo simulation was utilized to analysis the robustness of the flight control system in the heavy cargo airdrop operation. Moreover, stochastic robust synthesis method was adopted to enhance the robustness of the flight control system. The particle swarm optimization algorithm was adopted to search for a stochastic robust controller. Simulation results using a six-degrees-of-freedom nonlinear transport aircraft model demonstrated that the method reduced the sensitivity to uncertainty parameters and improved airdrop safety.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Flight control verification and clearance for a transport aircraft using stochastic robust analysis and synthesis


    Contributors:
    Zhang, Chao (author) / Peng, Chengyuan (author) / Liu, Jiaqi (author) / Chen, Zongji (author)


    Publication date :

    2014-08-01


    Size :

    161259 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Optimization-based Flight Control System Clearance Philosophy for Fighter Aircraft

    Dias, Pedro M. / Piprek, Patrick / Schwalb, David | AIAA | 2023


    Commercial Transport Aircraft Flight Simulator Flying Qualities Airworthiness Verification

    Zhang, Ya Ni ;Li, Yan ;Gao, Ya Kui | Trans Tech Publications | 2012



    Design for Robust Aircraft Flight Control

    Hess, Ronald A. / Peng, Cheng | AIAA | 2017