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

Bailing Tian, Qun Zong

Open publisher page 7 citations

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.

About this research paper

What this paper is about

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.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Trajectory optimization, Gauss pseudospectral method, Sequential quadratic programming, Trajectory, Solver, Nonlinear programming, Computer science, Pseudo-spectral method

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