UAV path planning via Legendre pseudospectral method improved by differential flatness

Zhang Siyu, Jianqiao Yu, Huadong Sun

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

2 Citations (Scopus)

Abstract

A Legendre pseudo spectral combination algorithm introduced by the theory of differential flatness is proposed, which transforms the unmanned aerial vehicles path planning problem into an optimal control problem. The vehicles kinematics state equations are built, and the optimal control problem which uses the equations as constraints and the shortest flight time as the cost is also built. By the differential flatness, the equations of motion state can be converted, that is the control variables and constraints of the optimal control problem can be simplified by the use of flatness output. Then optimal control problem after simplified can be solved through Legendre pseudo spectral method. The proposed combination algorithm has been compared with Legendre pseudo spectral method, and the simulation by Matlab is used to verify that the algorithm can reduce approximately 60% computation time with ensuring accuracy. The result has proved the high engineering value of the proposed algorithm.

Original languageEnglish
Title of host publicationProceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2580-2584
Number of pages5
ISBN (Electronic)9781479970179
DOIs
Publication statusPublished - 17 Jul 2015
Event27th Chinese Control and Decision Conference, CCDC 2015 - Qingdao, China
Duration: 23 May 201525 May 2015

Publication series

NameProceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015

Conference

Conference27th Chinese Control and Decision Conference, CCDC 2015
Country/TerritoryChina
CityQingdao
Period23/05/1525/05/15

Keywords

  • Differential Flatness Theory
  • Legendre Pseudospectral Method
  • Optimal Control Problem
  • Path Planning
  • Unmanned aerial vehicle

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