DocumentCode
2141823
Title
Optimal trajectory planning for a quadrotor via a Gauss Pseudo-spectrum Method
Author
Dan Wang ; Weizhong Zhang ; Jiayuan Shan
Author_Institution
Minist. of Educ. Key Lab. of Dynamics & Control of Flight Vehicle, Beijing Inst. of Technol., Beijing, China
fYear
2013
fDate
23-25 July 2013
Firstpage
1666
Lastpage
1670
Abstract
The quadrotor, as a kind of Unmanned Aerial Vehicles (UAVs), has become a hot research topic, due to its small size, easy configuration, good stealthy characteristics, etc. It is a typical nonlinear system with coupling multi-variables. Therefore, it is difficult to optimize trajectory in real-time and its trajectory optimization research is limited so far. In this paper, we firstly establish a quadrotor dynamic model by Newton-Euler equations and simplify it properly. Then a Gauss Pseudo-spectrum Method (GPM) with the hp-adaptive mesh refinement algorithm is proposed to solve the problem which is a nonlinear optimal control problem with path and boundary constraints. The results verify that the method can effectively generate satisfied optimal trajectories for the aircraft and it provides mathematical foundation for the further engineering applications.
Keywords
Newton method; autonomous aerial vehicles; helicopters; mesh generation; mobile robots; nonlinear control systems; optimal control; path planning; robot dynamics; telerobotics; trajectory control; Gauss pseudo-spectrum method; Newton-Euler equations; UAV; aircraft; boundary constraints; hp-adaptive mesh refinement algorithm; nonlinear optimal control problem; optimal trajectory planning; path constraints; quadrotor dynamic model; unmanned aerial vehicles; Aircraft; Algorithm design and analysis; Cost function; Mathematical model; Trajectory; Vehicle dynamics; GPM; hp-adaptive; matlab; nonlinear; quadrotor; trajectory optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818249
Filename
6818249
Link To Document