Title :
Evolutionary Algorithms in Aircraft Trim Optimization
Author :
Tupy, Jaroslav ; Zelinka, Ivan
Author_Institution :
Dept. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin
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.
Keywords :
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; Aircraft manufacture; Airplanes; Artificial intelligence; Computer simulation; Equations; Evolutionary computation; Heuristic algorithms; Organizing; Steady-state; Vehicles; DE; Evolutionary algorithms; SOMA; aircraft trim optimization; steady state flight;
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-0-7695-3299-8
DOI :
10.1109/DEXA.2008.98