DocumentCode
2831892
Title
Sliding Mode Control Design of Cleaning Robot´s Mobile Manipulator Used in Large Condenser Based on Neural Networks
Author
Tang Hong ; Yang Qing-xuan
Author_Institution
Sch. of Appl. Sci., JiangXi Univ. of Sci. & Technol., Ganzhou, China
fYear
2009
fDate
11-12 July 2009
Firstpage
446
Lastpage
449
Abstract
Sliding mode control (SMC) of cleaning robot´s mobile manipulator based on neural networks which have nonlinear approximation ability is put forward in this article. The controller reduces inherent chattering phenomenon sharply when the uncertainties and external disturbances are unknown. Structure of sliding mode control and neural networkspsila learning algorithms using Lyapunov theorem are designed which guarantees systempsilas stability and dynamic property. Experiment results indicate that the SMC method has strong capacity of resisting disturbance and excellent dynamic characters, can weaken the chattering phenomenon efficiently.
Keywords
Lyapunov methods; cleaning; condensers (steam plant); control system synthesis; industrial robots; learning (artificial intelligence); manipulators; mobile robots; neurocontrollers; variable structure systems; Lyapunov theorem; chattering phenomenon; cleaning robot; dynamic property; external disturbance; large condenser; learning algorithm; mobile manipulator; neural network; nonlinear approximation; sliding mode control design; system stability; Automatic control; Cleaning; Control systems; Manipulators; Mobile robots; Neural networks; Nonlinear control systems; Robotics and automation; Sliding mode control; Switches; cleaning robot; mobile manipulator; neural networks; sliding mode control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location
Zhangjiajie
Print_ISBN
978-0-7695-3728-3
Type
conf
DOI
10.1109/CASE.2009.13
Filename
5194488
Link To Document