DocumentCode
507834
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
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
265
Lastpage
268
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.478
Filename
5363345
Link To Document