In-Flight Route Re-planning for Endurance Reconnaissance Unmanned Aerial Vehicles

摘要：

This paper presents in-flight route replanning method for high altitude endurance (HAE) reconnaissance UAV when new targets are detected. Firstly mathematics model for replanning is built, which is a multi-objective optimization under multi-constraint. Secondly, after image quality is forecasted by general image quality equation, multi-objective evolutionary algorithm is adopted to find the Pareto non-dominant route set, aiming at maximizing image quality of each target and minimizing route length under constraints. At last, fuzzy selection is applied to select the optimal route from the Pareto non-dominant route set refer to weights of image quality, route length and risk given by expert system. The simulated result showed the rationality of the method.

作者: Yani Zhang Jinyuan Gao

作者单位: School of automation science and electrical engineering,Beijing university of aeronautics and astronautics,Beijing,100083,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Systems and Control in Aeronautics and Astronautics(第二届航空航天系统与控制国际会议 ISSCAA 2008)

会议地点: 深圳

会议语种:英文

页码: 1397-1401

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）