Compound control for PMLSM servo-drive system in end milling

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 prop...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 4; pp. 1934 - 1938
Main Authors Li-Ling Wang, Hong-Rui Wang, Jin-Zhuang Xiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Control systems
feedback
feedforward
Force control
Forging
Friction
Machine learning
Milling
Motion control
PMLSM
Recurrent neural networks
RNN controller
Servomotors
Synchronous motors
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212117