DocumentCode :
1599268
Title :
Decision Procedure of Maximum Landing Area Applied Homotopy Method
Author :
Ueno, Seiya
Author_Institution :
Fac. of Environ. & Inf. Sci., Yokohama Nat. Univ.
fYear :
2006
Firstpage :
4370
Lastpage :
4373
Abstract :
Optimal control theory is applied to a large number of trajectory designs in aerospace engineering. For example, a reusable spaceplane uses a trajectory to an orbit with minimum fuel or a non-powered aircraft is required to glide as far as possible. Optimal control theory provides the necessary conditions of optimal trajectory. The problem is defined as an two-point boundary value problem (TPBVP). There is, however, no solution for a TPBVP in some cases due to severe terminal conditions. This paper discusses on procedure to find the existence of solution in a TPBVP using homotopy method. Homotopy method is a numerical calculation in which a guessed solution changes continually to the exact solution with definite integration. There is no assumption such as linearization, thus the existence of solution is clearly shown in the numerical calculation and the exact solution is provide with finite numbers of calculation. This paper is an intermediate report that the procedure is applied to the maximum range for non-powered aircraft
Keywords :
aerospace computing; aircraft landing guidance; boundary-value problems; optimal control; aerospace engineering; homotopy method; nonpowered aircraft; optimal control theory; optimal trajectory design; reusable spaceplane; two-point boundary value problem; Aerospace engineering; Aircraft propulsion; Boundary value problems; Costs; Fuels; Humans; Nonlinear equations; Optimal control; Trajectory; Transportation; Guidance; Homotopy; Maximum range; Two Point Boundary Value Problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.314656
Filename :
4108284
Link To Document :
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