Aircraft Landing Control Based on CMAC and GA Techniques

نویسندگان

  • Jih-Gau Juang
  • Wen-Pin Lin
چکیده

This paper presents an intelligent control scheme that uses a cerebellar model articulation controller (CMAC) and genetic algorithms (GA) in aircraft automatic landing control and to make automatic landing systems (ALS) more intelligent. The proposed intelligent controller can act as an experienced pilot and guide the aircraft to a safe landing in severe turbulence environment. Current flight control law is adopted in the intelligent design. Tracking performance and adaptive capability are demonstrated through software simulation.

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تاریخ انتشار 2008