DocumentCode
577788
Title
Sliding mode control based on particle filter for position tracking system
Author
Dai, Wenzhan ; He, Liming ; Yang, Aiping
Author_Institution
Inst. of Autom. Control, Zhejiang Sci-Tech Univ., Hangzhou, China
fYear
2012
fDate
6-8 July 2012
Firstpage
2597
Lastpage
2600
Abstract
Motor servo control system is of nonlinear, multivariable, strong coupling. A scheme of sliding mode control is proposed based on particle filter for position tracking system. Simulation results show that system´s tracking performance is much better than Kalman filter, and it can significantly improve the system dynamic performance and robustness.
Keywords
Kalman filters; particle filtering (numerical methods); robust control; variable structure systems; Kalman filter; motor servo control system; particle filter; position tracking system; robustness; sliding mode control; system dynamic performance; system tracking performance; Automation; Educational institutions; Intelligent control; Kalman filters; MATLAB; Particle filters; Sliding mode control; exponent approach law; kalman filtering; particle filter; servo system; sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358311
Filename
6358311
Link To Document