{"title":"Trajectory planning with minimum energy consumption for multi-target regions autonomous cruise of stratospheric airship in wind field","authors":"Linzhi Xiao, Pingfang Zhou, Yang Wu, Qiming Lin, Yuhao Jing, Deyu Yu","doi":"10.1007/s42401-023-00209-6","DOIUrl":null,"url":null,"abstract":"<div><p>In the future, the stratospheric airship will be used to accomplish the continuous cruising mission in the widely distributed area. To solve the trajectory planning problem of a single airship continuously cruising multi-target regions, a global trajectory planning algorithm with the minimum energy consumption is proposed under the assumption of constant horizontal wind and cruising altitude. First, the singular perturbation method is used to plan the trajectory of the airship with minimum energy consumption in the long-distance straight cruise phase between each two target regions. This method determines the optimal yaw angle and cruising speed of the airship. Then, quadratic programming is used to solve the trajectory of the airship cruising in the target region by considering the smoothness and continuity of the airship's flight, the requirements of cruising time, and the constraints of speed and acceleration. Finally, the trajectory is optimized by considering the yaw rate constraint to strengthen the dynamic feasibility. Based on the above algorithms, we give a specific trajectory planning case in the last section.</p></div>","PeriodicalId":36309,"journal":{"name":"Aerospace Systems","volume":"6 3","pages":"521 - 529"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Systems","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s42401-023-00209-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
In the future, the stratospheric airship will be used to accomplish the continuous cruising mission in the widely distributed area. To solve the trajectory planning problem of a single airship continuously cruising multi-target regions, a global trajectory planning algorithm with the minimum energy consumption is proposed under the assumption of constant horizontal wind and cruising altitude. First, the singular perturbation method is used to plan the trajectory of the airship with minimum energy consumption in the long-distance straight cruise phase between each two target regions. This method determines the optimal yaw angle and cruising speed of the airship. Then, quadratic programming is used to solve the trajectory of the airship cruising in the target region by considering the smoothness and continuity of the airship's flight, the requirements of cruising time, and the constraints of speed and acceleration. Finally, the trajectory is optimized by considering the yaw rate constraint to strengthen the dynamic feasibility. Based on the above algorithms, we give a specific trajectory planning case in the last section.
期刊介绍:
Aerospace Systems provides an international, peer-reviewed forum which focuses on system-level research and development regarding aeronautics and astronautics. The journal emphasizes the unique role and increasing importance of informatics on aerospace. It fills a gap in current publishing coverage from outer space vehicles to atmospheric vehicles by highlighting interdisciplinary science, technology and engineering.
Potential topics include, but are not limited to:
Trans-space vehicle systems design and integration
Air vehicle systems
Space vehicle systems
Near-space vehicle systems
Aerospace robotics and unmanned system
Communication, navigation and surveillance
Aerodynamics and aircraft design
Dynamics and control
Aerospace propulsion
Avionics system
Opto-electronic system
Air traffic management
Earth observation
Deep space exploration
Bionic micro-aircraft/spacecraft
Intelligent sensing and Information fusion