DocumentCode
724202
Title
UAV path planning via Legendre pseudospectral method improved by differential flatness
Author
Zhang Siyu ; Yu Jianqiao ; Sun Huadong
Author_Institution
Sch. of Aerosp. Eng., Beijing Inst. of Technol., Beijing, China
fYear
2015
fDate
23-25 May 2015
Firstpage
2580
Lastpage
2584
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.
Keywords
Legendre polynomials; autonomous aerial vehicles; mobile robots; optimal control; path planning; robot kinematics; Legendre pseudospectral combination algorithm; Matlab; UAV path planning problem; differential flatness; motion state equations; optimal control problem; unmanned aerial vehicle path planning problem; vehicle kinematics state equations; Decision support systems; Differential Flatness Theory; Legendre Pseudospectral Method; Optimal Control Problem; Path Planning; Unmanned aerial vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location
Qingdao
Print_ISBN
978-1-4799-7016-2
Type
conf
DOI
10.1109/CCDC.2015.7162357
Filename
7162357
Link To Document