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

Volume

4

fYear

2009

fDate

12-15 July 2009

Firstpage

1934

Lastpage

1938

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMLC.2009.5212117

Filename

5212117