DocumentCode :
1577797
Title :
Yoyo motion planning using inversion-based optimization
Author :
Yuan, De-hu ; Jin, Hui-Liang
Author_Institution :
Sch. of Mech. Eng., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2009
Firstpage :
2183
Lastpage :
2187
Abstract :
This paper presents a novel approach for control of the yoyo playing, using return map parameterization The return map is a scalar function that maps the initial amplitude of the yoyo and the parameter (an intermediate state of the yoyo) to the final amplitude. The optimization programs can be combined with a standard one-degree zero-finding routine to search for an appropriate value of the parameter, such that the final amplitude equals a desired value. The proposed novel algorithm use inversion-based optimization technique for fast solution of the optimization problem, which can greatly reduce the computation time. Simulation on a single yoyo cycle shows the required computation time is about 10 milliseconds, so the software may be applicable to real-time control. The approach is promising as it may be extended to control of other similar systems.
Keywords :
nonlinear control systems; optimal control; optimisation; path planning; robots; inversion-based optimization; motion planning; one-degree zero-finding routine; return map parameterization; yoyo; Biomimetics; Computational modeling; Control systems; Dynamic programming; Mechanical engineering; Open loop systems; Optimal control; Robots; Spline; Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2009 IEEE International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-4774-9
Electronic_ISBN :
978-1-4244-4775-6
Type :
conf
DOI :
10.1109/ROBIO.2009.5420480
Filename :
5420480
Link To Document :
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