Paper Info
Title
Evolutionary Algorithms in Aircraft Trim Optimization
Abstract
In this paper, the calculation of aircraft trimming process is presented in a sufficiently understandable way using a unique combination of global optimization theory and the direct hand-on computer simulation. The methods of artificial intelligence and heuristic algorithms handling with the equations of airplane motion are presented in this paper. The main aim was to use them for trimming the flying aircraft to the steady state flight upon setting the flight conditions of various kinds. New approach of SOMA (self organizing migrating algorithm) has been used here to find the vehicle equilibrium state. The method can be practically utilized in construction of airplanes as well as the flight simulators design.
Year
DOI
Venue
2008
10.1109/DEXA.2008.98
DEXA Workshops
Keywords
Field
DocType
aerospace computing,aerospace simulation,aircraft,artificial intelligence,digital simulation,evolutionary computation,aircraft trim optimization,airplane motion,artificial intelligence,direct hand-on computer simulation,evolutionary algorithms,flight simulators design,global optimization theory,heuristic algorithms handling,self organizing migrating algorithm,vehicle equilibrium state,DE,Evolutionary algorithms,SOMA,aircraft trim optimization,steady state flight
Data mining,Heuristic,Global optimization,Evolutionary algorithm,Computer science,Simulation,Evolutionary computation,Airplane,Control engineering,Flight simulator,Trimming,Aerodynamics
Conference
ISSN
ISBN
Citations 
1529-4188
978-0-7695-3299-8
1
PageRank 
References 
Authors
0.37
2
2
Name
Order
Citations
PageRank
Jaroslav Tupy110.37
I. Zelinka2577.33