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
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;
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
DOI :
10.1109/CASE.2009.13