Title :
Velocity control of an electro hydraulic servomotor by neural networks
Author :
Azimian, H. ; Adlgostar, R. ; Teshnehlab, M.
Author_Institution :
Dept. of Electr. Eng., K. N. Toosi Univ. of Tech., Iran
Abstract :
In this paper we attempt to apply some neural networks based methods in order to solve a control benchmark problem. The goal is to control an electro hydraulic velocity servomotor system. Firstly, some ordinary neural networks have been employed as a controller and simulation results are shown. Secondly, the FEL method is employed and the advantages are mentioned. Both "Dynamic" and "CMAC" neural networks are employed in FEL scheme.
Keywords :
cerebellar model arithmetic computers; electrohydrodynamics; machine control; neurocontrollers; servomotors; velocity control; CMAC neural networks; FEL method; benchmarking; cerebellar model arithmetic computer; dynamic neural networks; electro hydraulic servomotor; velocity control; Control systems; Electrical equipment industry; Force control; Neural networks; Servomechanisms; Servomotors; Shafts; Signal processing; Valves; Velocity control;
Conference_Titel :
Physics and Control, 2005. Proceedings. 2005 International Conference
Print_ISBN :
0-7803-9235-3
DOI :
10.1109/PHYCON.2005.1514069
