Title :
Research of Pneumatic Hydraulic Compliant Force Control System
Author :
Wang, Hongyan ; Zhao, Keding ; He, Yintong
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Aiming at the difficulty of force control in impedance control lies in the unknown parameters of the environment, a reference trajectory generation approach for impedance control is presented, which uses neural networks to estimate the environment parameters. In this method, the environment parameters are estimated by a neural network (NN1), which constructs the relationship between the environment deformation and its first and second derivatives, and the interaction force. Then, another network (NN2) constructs the relationship between interaction force and the deformation. The major advantage of the proposed method is that no exact environment model is required, so that it suits for operations on any unstructured environments. Finally, the method was tested in the pneumatic hydraulic combination compliant control system, which validated the validity of the proposed method.
Keywords :
force control; hydraulic control equipment; neurocontrollers; pneumatic control equipment; impedance control; interaction force; neural networks; pneumatic hydraulic compliant force control system; reference trajectory generation approach; Automatic control; Control systems; Electrical equipment industry; Force control; Impedance; Motion control; Neural networks; Parameter estimation; Servomechanisms; Trajectory; PHCC; compliant control; neural network;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.478