DocumentCode
631019
Title
Optimal trajectory generation for nonlinear systems based on double generating functions
Author
Zhiwei Hao ; Fujimoto, Kenji ; Hayakawa, Yoshikazu
Author_Institution
Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya, Japan
fYear
2013
fDate
17-19 June 2013
Firstpage
6382
Lastpage
6387
Abstract
A method based on the generating function for the finite time optimal control problems was proposed recently. A single generating function can generate a family of optimal inputs which are functions of the state for different boundary conditions. Therefore, a family of optimal trajectories for different boundary conditions can be obtained by numerical integration along the system dynamic equation. This paper proposes a method to compute a family of optimal trajectories for a nonlinear optimal control problem on a finite time interval by using a pair of generating functions. The proposed method reduces the online computational effort in calculating the numerical integration required in the method using a single generating function. It is useful to on-line nonlinear trajectory generation problems such as model predictive control. A numerical example illustrates the effectiveness of the proposed method.
Keywords
integration; nonlinear control systems; optimal control; predictive control; trajectory control; boundary conditions; double generating functions; finite time interval; finite time optimal control problems; model predictive control; nonlinear optimal control problem; nonlinear systems; numerical integration; online computational effort; online nonlinear trajectory generation; optimal inputs; optimal trajectory generation; single generating function; system dynamic equation; Boundary conditions; Cost function; Equations; Mathematical model; Optimal control; Taylor series; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580839
Filename
6580839
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