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
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;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358311
