无人机航迹规划常用算法综述
来源:尖兵之翼
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作者: 王 琼 刘美万 任伟建 王天任
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发布时间: 1883天前
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为促进航迹规划技术的发展, 对航迹规划常用算法进行综述。首先对航迹规划的规划思想和构成进行分析；其次将航迹规划算法分为传统经典算法和现代智能算法两大类, .....
[34] 杨祖强. 生物启发的多无人机协同四维航迹规划方法研究 [D] . 杭州: 浙江大学航空航天学院, 2016.
YANG Zuqiang. Bio-inspired 4D Trajectory Generation for Multi-UAV Cooperation [D] . Hangzhou: School of Aeronautics and Astronautics, Zhejiang University, 2016.
Overview of Common Algorithms for UAV Path Planning
WANG Qiong1a,1b, LIU Meiwan1a,1b, REN Weijian1a,1b, WANG Tianren2
(1a. School of Electrical Information and Engineering; 1b. Heilongjiang Provincial Key Laboratory of Networking and Intelligent Control, Northeast Petroleum University, Daqing 163318, China; 2. Sinopec Star (Beijing) New Energy Research Institute Company Limited, Sinopec Star Petroleum Company, Beijing 100083, China)
Abstract: In order to promote the development of path planning technology, the planning ideas and forms of path planning are analyzed. The path planning algorithms are divided into the traditional classical algorithms and modern intelligent algorithms in two categories, and some commonly used algorithms are analyzed and summarized. And the current research hotspots and future development trends are pointed out from the three aspects of improving the application of modern intelligent algorithms in path planning, amalgamation of multiple algorithms and the research of four-dimensional path planning algorithms for multiple UAVs.
Key words: unmanned aerial vehicle (UAV); path planning; review; traditional classical algorithms; modern intelligent algorithms
中图分类号： TP39
文献标识码：A
收稿日期： 2018-04-17
基金项目： 国家自然科学基金优秀青年科学基金资助项目(61422301)
作者简介： 王琼(1969— ), 女, 黑龙江大庆人, 东北石油大学教授, 博士研究生, 主要从事智能控制理论、 人工智能算法研究, (Tel)86-13836955000(E-mail)w5799@qq.com；
通讯作者：任伟建(1963— ), 女, 黑龙江泰来人, 东北石油大学教授, 博士生导师, 主要从事复杂系统的建模与控制研究, (Tel)86-459-6504321(E-mail)renwj@126.com
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