Title :
Compound control for PMLSM servo-drive system in end milling
Author :
Wang, Li-ling ; Wang, Hong-rui ; Xiao, Jin-zhuang
Author_Institution :
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Abstract :
An compound control system using a recurrent neural network (RNN) is proposed to control a permanent magnet linear synchronous motor (PMLSM) servo-drive system for end milling. First, a dynamical model of PMLSM servo-drive system for end milling is proposed. Second, a compound control system is proposed to control the mover for periodic motion. In the compound control system, the RNN controller is the main tracking controller, and the compensated controller is compensation of disturbances, friction and cogging forces. Finally, The effectiveness of the proposed control schemes is verified by the simulated results.
Keywords :
linear synchronous motors; machine control; milling; neurocontrollers; permanent magnet motors; radial basis function networks; servomechanisms; compound control system; end milling; permanent magnet linear synchronous motor servo-drive system; recurrent neural network; tracking controller; Control systems; Force control; Forging; Friction; Machine learning; Milling; Motion control; Recurrent neural networks; Servomotors; Synchronous motors; PMLSM; RNN controller; feedback; feedforward;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212117
