Under No-fly Zone Constraints Accuracy Hypersonic Vehicle Trajectory Optimization
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- 英文论文题名：Under No-fly Zone Constraints Accuracy Hypersonic Vehicle Trajectory Optimization
- 论文作者：Guanghao Zhang ; Gang Liu ; Weiwei Qin ; Xibin An ; Dianheng Pan
- 英文论文作者：Guanghao Zhang ; Gang Liu ; Weiwei Qin ; Xibin An ; Dianheng Pan ; Xi'an Research Institude of Hi-Tech Hong Qing Town
- 年：2017
- 作者机构：Xi'an Research Institude of Hi-Tech Hong Qing Town;
- 英文论文关键词：trajectory optimization ; pseudospectral method ; hypersonic vehicle ; no-fly zone ; adaptive detection point
- 会议召开时间：2017-07-26
- 会议录名称：第36届中国控制会议论文集（B）
- 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
- 语种：英文
- 分类号：V448
- 学会代码：KZLL
- 会议名称：第36届中国控制会议
- 会议地点：中国辽宁大连
- 主办单位：中国自动化学会控制理论专业委员会
- 学会名称：中国自动化学会控制理论专业委员会
- 页数：6
- 文件大小：2680k
- 原文格式：D
- 会议级别：全国
摘要
In the process of reentry trajectory optimization of glide hypersonic vehicle, a new adaptive detection point pseudospectral method based on detection point is proposed to solve the problem of no-fly zone constraints between adjacent collocation points. This method adaptively adjusted the number of discrete subintervals and the number of collocation points in the interval according to the maximum allowable error, and adaptive adjustment occurred in the number of the detection points according to the no-fly zone constraints. And the result was obtained by the sequential quadratic programming. Simulation results show that the optimal design of a trajectory with 3~5 seconds, the calculation efficiency is higher; no-fly zone constraints satisfaction are improved between the collocation points, and the optimized trajectory is safer and more reliable; compared with the integral result, the maximum relative error is 0.13%. The algorithm has high precision.
In the process of reentry trajectory optimization of glide hypersonic vehicle, a new adaptive detection point pseudospectral method based on detection point is proposed to solve the problem of no-fly zone constraints between adjacent collocation points. This method adaptively adjusted the number of discrete subintervals and the number of collocation points in the interval according to the maximum allowable error, and adaptive adjustment occurred in the number of the detection points according to the no-fly zone constraints. And the result was obtained by the sequential quadratic programming. Simulation results show that the optimal design of a trajectory with 3~5 seconds, the calculation efficiency is higher; no-fly zone constraints satisfaction are improved between the collocation points, and the optimized trajectory is safer and more reliable; compared with the integral result, the maximum relative error is 0.13%. The algorithm has high precision.
In the process of reentry trajectory optimization of glide hypersonic vehicle, a new adaptive detection point pseudospectral method based on detection point is proposed to solve the problem of no-fly zone constraints between adjacent collocation points. This method adaptively adjusted the number of discrete subintervals and the number of collocation points in the interval according to the maximum allowable error, and adaptive adjustment occurred in the number of the detection points according to the no-fly zone constraints. And the result was obtained by the sequential quadratic programming. Simulation results show that the optimal design of a trajectory with 3~5 seconds, the calculation efficiency is higher; no-fly zone constraints satisfaction are improved between the collocation points, and the optimized trajectory is safer and more reliable; compared with the integral result, the maximum relative error is 0.13%. The algorithm has high precision.
引文
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[14]WANG Haitao,XIE Shousheng,WU Wei,et al.Dynamic process identification of aircraft engine based ona novel sparse least square support vector machines[J].Journal of Aerospace Power,2010,(09):2139-2147.(in Chinese)
[15]DAI Mingxiang,YANG Xinmin,HE Ying,et al.Integral form and equivalence proof of three pseudospectral optimal control methods[J].Control and Decision,2016,(06):1123-1127.(in Chinese)
[16]FENG Zhiwei,ZHANG Qingbi,TANG Qiangang,et al.Node adaptive refinement for trajectory optimization based on second-generation wavelets[J].Journal of Aerospace Power,2013,(07):1659-1665.(in Chinese)
[2]HUANG Changqiang,GUO Haifeng,DING Dali.A Survey of Trajectory Optimization and Guidance for Hypersonic Gliding Vehicle[J].Journal of Astronautics,2014,(04):369-379.(in Chinese)
[3]YANG Xixiang,YANG Huixin,WANG Peng.Overview of pseudo-spectral method and its application intrajectory optimum design for flight vehicles[J].Journal of National University of Defense Technology,2015,(04):1-8.(in Chinese)
[4]LI Junfeng,BAO Yinhexi,JIANG Fanghua.Dynamics and Control of Interplanetary Flight[M].Tsinghua University Press,2014.(in Chinese)
[5]LIU Peng,ZHAO Jisong,GU Liangxian.Rapid approach for three-dimensional trajectory optimization of hypersonic reentry vehicles[J].Flight Dynamics,2012,(03):263-266+271.(in Chinese)
[6]LIU Yuan-bo,ZHU Heng-wei,HUANG Xiao-nian,et al.Optimal mesh segmentation algorithm for pseudospectral methods for non-smooth optimal control problems[J].Systems Engineering and Electronics,2013,(11):2396-2399.
[7]Garg D.Advances in global pseudospectral methods for optimal control[D].University of Florida,2011.
[8]Darby C L,Garg D,Rao A V.Costate estimation using multiple-interval pseudospectral methods[J].Journal of spacecraft and rockets,2011,48(5):856-866.
[9]Darby C L.hp–Pseudospectral Method for Solving Continuous-Time Nonlinear Optimal Control Problems[D].University of Florida,2011.
[10]Garg D,Patterson M A,Francolin C,et al.Direct trajectory optimization and costate estimation of finite-horizon and infinite-horizon optimal control problems using a Radau pseudospectral method[J].Computational Optimization and Applications,2011,49(2):335-358.
[11]Phillips T H.A common aero vehicle(CAV)model,description,and employment guide[J].Schafer Corporation for AFRL and AFSPC,2003,27.
[12]ZHAO Jiang,ZHOU Rui,ZHANG Chao.Predictor-corrector reentry guidance satisfying no-fly zone constraints[J].Journal of Beijing University of Aeronautics and Astronautics,2015,(05):864-870.(in Chinese)
[13]LU Zhao.Online Trajectory Optimization For the Terminal Stage of Reentry Hypersonic Vehicles[D].Harbin Institute of Technology,2014.(in Chinese)
[14]WANG Haitao,XIE Shousheng,WU Wei,et al.Dynamic process identification of aircraft engine based ona novel sparse least square support vector machines[J].Journal of Aerospace Power,2010,(09):2139-2147.(in Chinese)
[15]DAI Mingxiang,YANG Xinmin,HE Ying,et al.Integral form and equivalence proof of three pseudospectral optimal control methods[J].Control and Decision,2016,(06):1123-1127.(in Chinese)
[16]FENG Zhiwei,ZHANG Qingbi,TANG Qiangang,et al.Node adaptive refinement for trajectory optimization based on second-generation wavelets[J].Journal of Aerospace Power,2013,(07):1659-1665.(in Chinese)