Path planning of Quadrotor based on Quantum Particle Swarm Optimization Algorithm

摘要：

　　Nowadays,it becomes a hot research topic for autonomous flight of Quadrotor in the complex environment and the realization of fully autonomous flight is still a big challenge.The path planning of unmanned aerial vehicle is a key problem for its autonomous flight.For the path planning of Quadrotor,using the quantum particle swarm optimization algorithm,and made a lot of simulation and actual flight experiments.The results of simulation and actual flight experiment show that the using of QPSO for the path planning of Quadrotor is able to obtain a satisfactory result.

关键词： QPSO Quadrotor path planning

作者: Dexin Zhou Xinchao Ma Tengda Ma

作者单位: Aeronautical Automation College,Civil Aviation University of China,Tianjin,China

会议类型: 国际会议

会议名称: 2013 2nd international Conference on Opto-Electronics Engineering and Materials Eesearch(2013第二届光电工程与材料研究国际会议)(OEMR2013)

会议地点: 郑州

会议语种:英文

页码: 906-910

在线出版日期: 2013-10-19（万方平台首次上网日期，不代表论文的发表时间）