This paper presents sliding mode control (SMC) to aircraft automatic landing system (ALS), and uses genetic algorithm (GA), particle swarm optimization (PSO) and chaos particle swarm optimization (CPSO) to adjust controller parameters. When wind shear is encountered, the aircraft automatic landing system can not be used in such environment during serious wind speed changes. The proposed intelligent control scheme can help the pilots guide the aircraft to a safe landing in wind shear condition. PID control and cerebella model articulation controller (CMAC) are applied to the controller design.


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    Titel :

    A Hybrid Intelligent System for Wind Shear Encountered Aircraft Landing Control



    Erschienen in:

    Erscheinungsdatum :

    2015-05-28


    Format / Umfang :

    5 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Control of aircraft landing approach in wind shear

    CHU, PETER / BRYSON, JR., ARTHUR | AIAA | 1987


    Predictive Controller for Aircraft Landing under Wind Shear

    Gao, Zhen Xing ;Li, Zheng Qiang | Trans Tech Publications | 2014


    Wind Shear Effects on the Landing of Aircraft

    James K. Luers / Jerry B. Reeves | AIAA | 1975