Obstacle-avoidance trajectory planning for attitude-constrained quadrotors using second-order cone programming

Zhu Wang*, Guangtong Xu, Li Liu, Teng Long

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

This paper presents an effective method for quadrotor trajectory planning considering attitude limitations and obstacle-avoidance constraints. By transforming attitude limitations as second-order cone constraints of acceleration components, an optimal control model under concave path constraints of obstacle-avoidance is formulated. Then, the optimal control problem is transcribed as a series of second-order cone programming (SOCP) subproblems, where an iterative inter-sample avoidance method is developed to ensure the discretized trajectory not run across obstacle zones by imposing additive affine constraints. By iteratively performing SOCP, the satisfied quadrotor trajectory can be generated efficiently. Simulation results demonstrate that the proposed method can obtain feasible solutions satisfying attitude limitations and avoiding obstacles.

Original languageEnglish
Title of host publication2018 Aviation Technology, Integration, and Operations Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105562
DOIs
Publication statusPublished - 2018
Event18th AIAA Aviation Technology, Integration, and Operations Conference, 2018 - Atlanta, United States
Duration: 25 Jun 201829 Jun 2018

Publication series

Name2018 Aviation Technology, Integration, and Operations Conference

Conference

Conference18th AIAA Aviation Technology, Integration, and Operations Conference, 2018
Country/TerritoryUnited States
CityAtlanta
Period25/06/1829/06/18

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