多无人机编队突发威胁规避路径规划算法

Translated title of the contribution: Convex optimization algorithm of avoidance path planning for multiple-UAV formation under emergency threats

Ye Gao, Jun Zhou, Yaen Xie, Xiande Wu, Jianguo Guo, Yong Hao

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

To solve the pop-up threats avoidance problem of multiple unmanned autonomous vehicles (Multiple-UAV) formation in complex environment, a real-time path planning method is proposed based on convex optimization algorithm. First, the problem of pop-up threats avoidance is formulated as a constrained optimization problem based on the pop-up threats models and the UAV dynamics. Second, the constrained optimization problem is transformed into a series of convex optimization problems based on the equivalent transformation. Then, the convex optimization algorithm is used to iteratively solve the convex optimization problems, and interpolate the resulting path to get the path function. Because the direct method is adopted for the iteration in the solution process, so, the operation efficiency is high, and the real-time path planning can be realized. Finally, the simulation results of the path planning algorithm based on the Matlab show that the proposed algorithm can achieve real-time avoidance threats of multi-UAV formation.

Translated title of the contributionConvex optimization algorithm of avoidance path planning for multiple-UAV formation under emergency threats
Original languageChinese (Traditional)
Pages (from-to)2036-2043
Number of pages8
JournalHarbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University
Volume40
Issue number12
DOIs
StatePublished - 5 Dec 2019

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