UAV Flight Performance Optimization Based on Restart PRP Conjugate Gradient Method

摘要：

In order to avoid settling high dimensional twopoint-boundary-value model and solve that the value of time integral variable is no longer equal after the iterative calculations,the energy as a new integral variable instead of time is introduced into the performance optimization. Energy-state method is proposed to dynamically optimize the vertical flight profile. We put forward restart PRP conjugate gradient method to solve the non-quadratic objective function,which is a nonlinear programming problem transformed by energy-state optimization model. Finally,we present a numerical example of a UAV model. Numerical simulation results show that compared with PRP method,the restart PRP method saves fuel by 6.76％,and the flight time of optimal flight vertical profile shortens 6.71％.

关键词： flight performance optimization UAV vertical profile energy restart PRP conjugate gradient

作者: Chen Xiao Wang Xinmin Zhou Jian Xiao Yahui

作者单位: College of Automation,Northwestern Poly-technical University,Xian 710129,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2459-2462

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）