Ascent Phase Trajectory Optimization for Aircraft Based on Nonlinear Programming

摘要：

Ascent phase minimum time-to-climb trajectory optimization problem(TOP) is studied in the paper. To avoid the drawback of indirect methods and traditional direct methods, a new optimal control method-Gauss Pseudospectral Method(GPM) was used to transform the trajectory optimization problem into Nonlinear Program(NLP) problem. A initial guess strategy was proposed to improve the convergence rate of NLP problem, based on the guess, which can be solved using a sparse nonlinear optimization software named SNOPT. The optimality of the solution was verified via checking up the Hamiltonian function. Finally, simulation results demonstrate the efficiency of the method.

关键词： Ascent Phase Trajectory Optimization Gauss Pseudospectral Method Initial Guess Optimality

作者: Bailing Tian Qun Zong Liqian Dou

作者单位: School of Electric and Automation Engineering, Tianjin University, Tianjin 300072, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 2076-2081

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）