Application of intelligent systems and DSP to landing controller design

Author

Cheng-Yen Yu ; Jih-Gau Juang

Author_Institution

Dept. of Commun., Nat. Taiwan Ocean Univ., Keelung, Taiwan

fYear

2013

fDate

23-26 June 2013

Firstpage

1

Lastpage

6

Abstract

This paper presents different artificial life algorithms and the cerebellar model articulation controller (CMAC) to aircraft automatic landing control design. The artificial life algorithms are bacterial foraging optimization (BFO), particle swarm optimization (PSO), chaos particle swarm optimization (CPSO) and bacterial swarm optimization (BSO). Wind shear is introduced in flight simulations. Conventional 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 a vile weather. The proposed controller is realized by a Texas Instruments DSP.

Keywords

aerospace simulation; aircraft landing guidance; cerebellar model arithmetic computers; chaos; control system synthesis; digital signal processing chips; intelligent control; particle swarm optimisation; BFO; BSO; CMAC; CPSO; PSO; Texas Instruments DSP; aircraft automatic landing control design; aircraft automatic landing system; artificial life algorithms; bacterial foraging optimization; bacterial swarm optimization; cerebellar model articulation controller; chaos particle swarm optimization; flight simulations; intelligent control scheme; intelligent systems; particle swarm optimization; wind shear; wind speed changes; Aerospace control; Aircraft; Atmospheric modeling; Chaos; Microorganisms; Particle swarm optimization; Vectors; CMAC; DSP; PID control; artificial life algorithms; automatic landing system; wind shear;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ASCC), 2013 9th Asian

Conference_Location

Istanbul

Print_ISBN

978-1-4673-5767-8

Type

conf

DOI

10.1109/ASCC.2013.6606275

Filename

6606275