3DOF ascent phase trajectory optimization for aircraft based on adaptive Gauss Pseudospectral Method

Author

Tian, Bailing ; Zong, Qun

Author_Institution

Sch. of Electr. & Autom. Eng., Tianjin Univ., Tianjin, China

fYear

2012

fDate

15-17 July 2012

Firstpage

431

Lastpage

435

Abstract

3DOF ascent phase trajectory optimization problem for minimum fuel-to-climb is investigated in the research. The Gauss Pseudospectral Method (GPM) and adaptive strategy is proposed to transcribe the trajectory optimization problem into a Nonlinear Program Problem (NLP). Then, the Sequential Quadratic Programming (SQP) integrated in a sparse nonlinear program solver named SNOPT is used to solve the resulting NLP problem with a proper initial guess. The optimality of the ascent trajectory is also checked via Bellman´s principle. The simulation results demonstrate that the method can generate a feasible 3DOF ascent trajectory with all constraints satisfied.

Keywords

Gaussian processes; adaptive control; aircraft control; fuel economy; optimal control; quadratic programming; spectral analysis; trajectory control; 3DOF ascent phase trajectory optimization problem; Bellman principle; GPM; NLP; SNOPT; SQP; adaptive Gauss pseudospectral method; adaptive strategy; aircraft; ascent trajectory optimality; constraint satisfaction; minimum fuel-to-climb; nonlinear program problem; sequential quadratic programming; sparse nonlinear program solver; Aerodynamics; Approximation methods; Atmospheric modeling; Optimal control; Optimization; Programming; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4577-2144-1

Type

conf

DOI

10.1109/ICICIP.2012.6391529

Filename

6391529