二维码(扫一下试试看!) | 基于hp自适应伪谱法的飞行器多阶段轨迹优化 | Multi-Phase Trajectory Optimization of Vehicle Based on hp-Adaptive Pseudospectral Method | 投稿时间:2015-11-06 | DOI:10.15918/j.tbit1001-0645.2017.04.016 | 中文关键词:助推-滑翔飞行器轨迹优化最优控制hp自适应伪谱法 | English Keywords:boost-glide vehicletrajectory optimizationoptimal controlhp-adaptive pseudospectral method | 基金项目: | | 摘要点击次数:1300 | 全文下载次数:1756 | 中文摘要: | 为解决助推-滑翔飞行器的多阶段多约束轨迹优化问题,在考虑速度约束、轨迹阶段切换点约束与轨迹末端参数约束的条件下,建立了助推-滑翔飞行器纵向运动模型与多阶段轨迹优化模型。采用基于hp自适应伪谱法的Legendre-Gauss-Radau离散点,将该最优控制问题转换为多阶段非线性规划问题,求解得到最大飞行距离轨迹。为解决多阶段轨迹优化算法难以确定位置自由的阶段切换点的问题,基于动态规划的思想,设计了新的多阶段轨迹优化策略。改进后的优化策略在得到了多阶段全局近似最优解结果的同时,减少了原优化算法的计算量。仿真结果表明,改进的hp自适应伪谱法能有效解决多阶段助推-滑翔飞行器轨迹优化问题,优化结果优于最大升阻比滑翔飞行轨迹。 | English Summary: | In order to solve the trajectory optimization problem of a boost-glide vehicle with multi-phase and multi-constraint, a longitudinal motion model and a multi-phase trajectory optimization model were built based on the constraint consideration of velocity, switch point of trajectory phase and the parameter of trajectory end. Hp-adaptive-based Legendre-Gauss-Radau points were used to transcribe the optimization problem to a finite-dimensional nonlinear programming problem, and maximal downrange optimization trajectory was obtained. An improved optimization strategy was proposed based on dynamic programming theory to decide the switch points of free phases, due to the difficulty with the multi-phase trajectory optimization arithmetic. Compared with the hp-adaptive pseudospectral method, the improved strategy can get almost the same optimization trajectory and a smaller finite-dimensional approximation. Numerical simulation results show that the boost-glide vehicle trajectory optimization problem can be solved, and the results are better than the gliding trajectory with the maximum lift-to-drag ratio. | 查看全文查看/发表评论下载PDF阅读器 | |
王强,叶东,范宁军,吴炎烜.含有J2项摄动的卫星追逃轨道优化[J].北京理工大学学报(自然科学版),2017,37(4):418~423.WANGQiang,YEDong,FANNing-jun,WUYan-xuan.PursuitEvasionGamewithJ2Perturbation[J].T ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21韩宝玲,赵锐,罗庆生,徐峰,赵嘉珩.基于粒子群算法的四足机器人静步态优化方法[J].北京理工大学学报(自然科学版),2017,37(5):461~465.HANBao-ling,ZHAORui,LUOQing-sheng,XUFeng,ZHAOJia-heng.StaticGaitOptimizat ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21薛艳明,彭云柯,高飞.基于压缩感知的OFDM稀疏信道估计导频优化算法[J].北京理工大学学报(自然科学版),2017,37(5):511~514.XUEYan-ming,PENGYun-ke,GAOFei.OptimizedPilotPlacementforCompressiveSensingBas ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21辛鹏飞,荣吉利,吴志培,项大林,杨永泰.基于粒子群算法的空间机械臂关节驱动力矩优化设计[J].北京理工大学学报(自然科学版),2017,37(8):813~817.XINPeng-fei,RONGJi-li,WUZhi-pei,XIANGDa-lin,YANGYong-tai.JointActuat ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21付铁,朱朝辉,丁洪生,张庆东.一种7R冗余机械臂的容错空间优化[J].北京理工大学学报(自然科学版),2017,37(9):933~936.FUTie,ZHUZhao-hui,DINGHong-sheng,ZHANGQing-dong.OptimizationofFault-TolerantWork ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21荣吉利,夏鹏,冯志伟,项大林.抛物面天线反射面参数化建模与热变形优化分析[J].北京理工大学学报(自然科学版),2017,37(10):998~1002,1008.RONGJi-li,XIAPeng,FENGZhi-wei,XIANGDa-lin.ParameterizedModelingandTh ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21赵中楠,王健,乔佩利.基于多源协同感知的目标追踪优化模型[J].北京理工大学学报(自然科学版),2017,37(11):1137~1143.ZHAOZhong-nan,WANGJian,QIAOPei-li.OptimizationModelofTargetTrackingBasedonMulti- ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21沈思,朱丹浩.基于深度学习的中文地名识别研究[J].北京理工大学学报(自然科学版),2017,37(11):1150~1155.SHENSi,ZHUDan-hao.ChinesePlaceNameRecognitionBasedonDeepLearning[J].TransactionsofBeij ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21马锐,任帅敏,马科,胡昌振,薛静锋.基于粒子群优化算法的Android应用自动化测试方法[J].北京理工大学学报(自然科学版),2017,37(12):1265~1270.MARui,RENShuai-min,MAKe,HUChang-zhen,XUEJing-feng.TestAutomation ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21孙维维,王迪,胡志成,陈艳,邓玉林,罗爱芹,戴荣继.珍禽蛋溶菌酶制备工艺优化及稳定性研究[J].北京理工大学学报(自然科学版),2017,37(s1):46~49.SunWei-wei,WangDi,HUZhi-cheng,ChenYan,DengYu-lin,LuoAi-qin,DaiRong-j ... 北京理工大学科研学术 本站小编 Free考研考试 2021-12-21
| |