Please wait a minute...
浙江大学学报(工学版)  2022, Vol. 56 Issue (1): 193-201    DOI: 10.3785/j.issn.1008-973X.2022.01.022
航空航天技术     
基于伪谱法的小型超音速无人机轨迹优化
宋晓晨(),姚骁帆,叶尚军*()
浙江大学 航空航天学院,浙江 杭州 310000
Trajectory optimization of small supersonic unmanned aerial vehicle based on pseudo-spectral method
Xiao-chen SONG(),Xiao-fan YAO,Shang-jun YE*()
School of Aeronautics and Astronautics, Zhejiang University, Hangzhou 310000, China
 全文: PDF(1196 KB)   HTML
摘要:

为了提高小型超音速无人机的经济性能,针对配备加力燃烧室导致设计复杂、油耗过大的问题,提出小型无加力燃烧室的超音速无人机. 利用马赫俯冲机动突破音障,基于hp自适应伪谱法的最优控制轨迹规划方法,求解达到超音速巡航飞行的最小油耗和最小时间2种轨迹最优化问题. 该方法将控制与状态变量离散化,结合无人机飞行的物理过程,将多约束最优控制问题转化为非线性规划问题. 将本文与传统飞行方案所得的结果进行比较,分析重要设计参数对最优轨迹的影响. 仿真结果表明,利用该方法能够有效地规划出无人机从高亚音速到超音速飞行过程中的可行轨迹,得到的最小油耗、最小爬升时间均优于传统飞行方案,最小油耗降低约11%,最小爬升时间降低约46%.

关键词: 小型超音速无人机hp自适应伪谱法马赫俯冲最优控制轨迹规划    
Abstract:

A new supersonic unmanned aerial vehicle (UAV) with a powerless combustion chamber was proposed to solve the problem that the design was complicated and the fuel consumption was too high in order to improve the economic performance of small supersonic UAV. A trajectory optimization of the new UAV based on hp adaptive pseudo-spectral method was proposed to optimize the trajectory with the target of the minimum fuel consumption and minimum time in a flight section which shall make the UAV reach supersonic cruise flight by introducing the Mach subduction maneuver. The control variable and state variable were discretized, and the multi-constraint optimal control problem was transformed into a nonlinear programming problem by combining with the physical process of the UAV flight. The proposed optimal trajectory was compared with the conventional flight schemes, and the effects of critical design parameters on the optimal trajectory were analyzed. The simulation results show that the proposed method can effectively plot a feasible path which shall make the UAV climb from high subsonic to supersonic flight. The obtained minimum fuel consumption and minimum climb time are better than the traditional flight scheme. The minimum fuel consumption was reduced by about 11%, and the minimum climb time was reduced by about 46%.

Key words: small supersonic unmanned aerial vehicle    hp adaptive pseudo-spectral method    Mach subduction    optimal control    trajectory planning
收稿日期: 2021-02-27 出版日期: 2022-01-05
CLC:  V 279  
基金资助: 国防基础科研计划资助项目(JCKY2019205A006);浙江省重点研发计划资助项目(2020C05001)
通讯作者: 叶尚军     E-mail: zzmsxc1996@foxmail.com;yeshangjun@zju.edu.cn
作者简介: 宋晓晨 (1996—),男,硕士生,从事飞行器轨迹优化研究. orcid.org/0000-0002-9572-4380. E-mail: zzmsxc1996@foxmail.com
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  
宋晓晨
姚骁帆
叶尚军

引用本文:

宋晓晨,姚骁帆,叶尚军. 基于伪谱法的小型超音速无人机轨迹优化[J]. 浙江大学学报(工学版), 2022, 56(1): 193-201.

Xiao-chen SONG,Xiao-fan YAO,Shang-jun YE. Trajectory optimization of small supersonic unmanned aerial vehicle based on pseudo-spectral method. Journal of ZheJiang University (Engineering Science), 2022, 56(1): 193-201.

链接本文:

https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2022.01.022        https://www.zjujournals.com/eng/CN/Y2022/V56/I1/193

图 1  涡喷发动机的推力与燃油消耗率的特性曲线
图 2  小型超音速无人机的最优轨迹设计框架
e $ {t_{\rm{c}}} $/s $ {m_{{\rm{FC}}}} $/kg t /s
10?6 7.278 20.127 296.215
10?4 4.334 20.126 296.291
10?3 3.590 20.128 296.642
10?2 1.726 20.123 293.564
表 1  不同最大容许误差下的仿真结果
图 3  MFT和MTT的轨迹变化曲线
图 4  4种轨迹方案的轨迹变化曲线
图 5  各种起飞质量下MFT的轨迹变化曲线
图 6  不同爬升最大高度及终端飞行高度下MFT的轨迹变化曲线
1 明超, 孙瑞胜, 白宏阳, 等 吸气式超声速导弹爬升段多约束轨迹优化[J]. 宇航学报, 2016, 37 (9): 1063- 1071
MING Chao, SUN Rui-sheng, BAI Hong-yang, et al Climb trajectory optimization with multiple constraints for air-breathing supersonic missile[J]. Journal of Astronautics, 2016, 37 (9): 1063- 1071
doi: 10.3873/j.issn.1000-1328.2016.09.005
2 刘靖, 刘志强 超音速靶机的总体设计与研究[J]. 宇航计测技术, 2016, 36 (4): 60- 63
LIU Jing, LIU Zhi-qiang Conceptual design and research of supersonic target drone[J]. Journal of Astronautic Metrology and Measurement, 2016, 36 (4): 60- 63
doi: 10.3969/j.issn.1000-7202.2016.04.012
3 安兵辉, 韩庆, 王广博 基于NSGA-II的超音速飞机最快爬升轨迹分析[J]. 科学技术与工程, 2011, 11 (33): 8238- 8242
AN Bing-hui, HAN Qing, WANG Guang-bo Analysis of supersonic airplane's fastest climb trajectory based on NSGA-II[J]. Science Technology and Engineering, 2011, 11 (33): 8238- 8242
doi: 10.3969/j.issn.1671-1815.2011.33.030
4 WALTER S, STARKEY R. GoJett: design and optimization of a supersonic unmanned aerial flight system [C]// 12th AIAA Aviation Technology, Integration and Operations Conference. Indiana: AIAA, 2012.
5 Japan Aerospace Exploration Agency (JAXA). Demonstration of aerodynamic design technologies on supersonic experimental airplane (NEXST-1) by flight test [R]. Alexandria: U. S. Department of Commerce National Technical Information Service, 2007.
6 BRAVO-MOSQUERA P D, ABDALLA A M, CERO NMUNOZ H D, et al Integration assessment of conceptual design and intake aerodynamics of a non-conventional air-to-ground fighter aircraft[J]. Aerospace Science and Technology, 2019, 86 (3): 497- 519
7 SCHAMHORST R. An overview of military aircraft supersonic inlet aerodynamics [C]// 50th AIAA Aerospace Sciences Meeting. Tennessee: AIAA, 20 12.
8 FENG X Q, LI Z K, SONG B F Research of low boom and low drag supersonic aircraft design[J]. Chinese Journal of Aeronautics, 2014, 27 (3): 531- 541
doi: 10.1016/j.cja.2014.04.004
9 王钢林, 郑遂 跨声速面积律的近场机理研究[J]. 实验流体力学, 2016, 30 (4): 1- 6
WANG Gang-lin, ZHENG Sui Research on mechanism of transonic area rule in near field[J]. Journal of Experiments in Fluid Mechanics, 2016, 30 (4): 1- 6
10 YAN X D, LYU S, TANG S Analysis of optimal initial glide conditions for hypersonic glide vehicles[J]. Chinese Journal of Aeronautics, 2014, 27 (2): 217- 225
doi: 10.1016/j.cja.2014.02.019
11 罗淑贞, 孙青林, 檀盼龙, 等 基于高斯伪谱法的翼伞系统复杂多约束轨迹规划[J]. 航空学报, 2017, 38 (3): 220- 230
LUO Shu-zhen, SUN Qing-lin, TAN Pan-long, et al Trajectory planning of parafoil system with intricate constraints based on Gauss pseudo-spectral method[J]. Acta Aeronautica et Astronautica Sinica, 2017, 38 (3): 220- 230
12 杨希祥, 杨慧欣, 王鹏 伪谱法及其在飞行器轨迹优化设计领域的应用综述[J]. 国防科技大学学报, 2015, 37 (4): 1- 8
YANG Xi-xiang, YANG Hui-xin, WANG Peng Overview of pseudo-spectral method and its application in trajectory optimum design for flight vehicles[J]. Journal of National University of Defense Technology, 2015, 37 (4): 1- 8
doi: 10.11887/j.cn.201504001
13 刘超越, 张成 基于高斯伪谱法的二级助推战术火箭多阶段轨迹优化[J]. 兵工学报, 2019, 40 (2): 292- 302
LIU Chao-yue, ZHANG Cheng Multi-stage trajectory optimization of tactical two-stage booster rocket based on Gauss Pseudo-spectral method[J]. Acta Armamentarii, 2019, 40 (2): 292- 302
14 王少奇, 马东立, 杨穆清, 等 高空太阳能无人机三维航迹优化[J]. 北京航空航天大学学报, 2019, 45 (5): 936- 943
WANG Shao-qi, MA Dong-li, YANG Mu-qing, et al Three dimensional optimal path planning for high altitude solar powered UAV[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45 (5): 936- 943
15 HONG S M, SEO M G, SHIM S W, et al Sensitivity analysis on weight and trajectory optimization results for multistage guided missile[J]. IFAC PapersOn -Line, 2016, 49 (17): 23- 27
doi: 10.1016/j.ifacol.2016.09.005
16 陈晓, 王新民, 周健 无人飞行器纵向剖面轨迹优化[J]. 控制理论与应用, 2013, 30 (1): 31- 36
CHEN Xiao, WANG Xin-min, ZHOU Jian Optimization of vertical profile trajectory for unmanned aerial vehicle[J]. Control Theory and Applications, 2013, 30 (1): 31- 36
doi: 10.7641/CTA.2013.20314
17 DARBY C L. Hp pseudo-spectral method for solving continuous-time nonlinear optimal control problems [D]. Gainesville: University of Florida, 2011.
18 邱文杰, 孟秀云 基于hp自适应伪谱法的飞行器多阶段轨迹优化[J]. 北京理工大学学报, 2017, 37 (4): 412- 417
QIU Wen-jie, MENG Xiu-yun Multi-phase trajectory optimization of vehicle based on hp adaptive pseudo-spectral method[J]. Journal of Beijing Institute of Technology, 2017, 37 (4): 412- 417
19 COTS O, GERGAUD J, GOUBINAT D Direct and indirect methods in optimal control with state constraints and the climbing trajectory of an aircraft[J]. Optimal Control Applications and Methods, 2018, 39 (1): 281- 301
doi: 10.1002/oca.2347
20 YANG S B, CUI T, HAO X Y, et al Trajectory optimization for a ramjet-powered vehicle in ascent phase via the Gauss pseudo-spectral method[J]. Aerospace Science and Technology, 2017, 67 (8): 88- 95
21 明超, 孙瑞胜, 白宏阳, 等. 基于hp自适应伪谱法的多脉冲导弹弹道优化设计[J]. 固体火箭技术, 2015, 38(2): 151-155.
MING Chao, SUN Rui-sheng, BAI Hong-yang, et al. Optimizing design of trajectory for multiple-pulse missiles based on hp-adaptive pseudo-spectral method [J]. Journal of Solid Rocket Technology, 2015, 38(2): 151-155.
22 HUNTINGTON G T, BENSON D A, RAO A V. A comparison of accuracy and computational efficiency of three pseudo-spectral methods [C]// AIAA Guidance, Navigation and Control Conference and Exhibit. South Carolina: AIAA, 2007.
[1] 李琳,薛泽浩,蔡蒂,张铁. 管道内壁四足爬壁机器人的运动学与步态规划[J]. 浙江大学学报(工学版), 2021, 55(12): 2286-2297.
[2] 刘洁,董献洲,韩维,王昕炜,刘纯,贾珺. 采用牛顿迭代保辛伪谱算法的舰载机甲板路径规划[J]. 浙江大学学报(工学版), 2020, 54(9): 1827-1838.
[3] 胡凯明,李华. 轴向受压梁非线性随机最优电压有界控制[J]. 浙江大学学报(工学版), 2020, 54(5): 940-946.
[4] 秦超, 梁喜凤, 路杰, 彭明, 金超杞. 七自由度番茄收获机械手的轨迹规划与仿真[J]. 浙江大学学报(工学版), 2018, 52(7): 1260-1266.
[5] 王明斗, 陶建峰, 覃程锦, 刘成良. 空间余量最优的拼装机轨迹规划[J]. 浙江大学学报(工学版), 2017, 51(3): 453-460.
[6] 肖扬,管成,王飞. 扭矩耦合式油液混合动力挖掘机能量管理[J]. 浙江大学学报(工学版), 2016, 50(1): 70-77.
[7] 刘湘琪,蒙臻,倪敬,朱泽飞. 三自由度液压伺服机械手轨迹优化[J]. 浙江大学学报(工学版), 2015, 49(9): 1776-1782.
[8] 王会方, 朱世强, 吴文祥. 基于INSGA-Ⅱ算法的机械手多目标轨迹规划[J]. J4, 2012, 46(4): 622-628.
[9] 刘兴高, 陈珑. 约束优先边值固定最优控制嵌套优化方法[J]. J4, 2010, 44(7): 1247-1250.
[10] 许贤, 罗尧治, 沈雁彬. 张拉整体结构的非线性主动控制[J]. J4, 2010, 44(10): 1979-1984.
[11] 郑慧峰, 周晓军, 张杨. 基于最优时间的超声检测轨迹规划[J]. J4, 2010, 44(1): 29-33+183.
[12] 茅僰 应祖光 朱位秋. 不确定结构非线性随机最优控制的鲁棒性[J]. J4, 2008, 42(7): 1101-1105.
[13] 祝长生 陈拥军. 部分状态可测转子系统振动控制的随机最优策略[J]. J4, 2007, 41(6): 980-984.
[14] 潘双夏 季炳伟 童永峰. 基于操纵平稳性的液压挖掘机轨迹规划方法[J]. J4, 2006, 40(8): 1311-1314.
[15] 陈拥军 祝长生. 随机最优策略在转子系统振动控制中的应用[J]. J4, 2006, 40(6): 1015-1018.