Research on Iterative Learning Servo Controller of Permanent Magnet Linear Synchronous Motor

Abstract:

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An iterative learning servo controller with RBF network feed-forward position compensation is proposed to control the mover of permanent magnet linear servo system to track reference position signal. The structure of RBF feed-forward position controller is analyzed in detail. The effective estimation of nonlinear load is realized by higher-order D-type iterative learning identification method. The feedback position control law was made up of load identification and feedback error signal. Finally, the simulation results demonstrate that this method can assure system obtains good servo performance.

Info:

Periodical:

Advanced Materials Research (Volumes 299-300)

Edited by:

Jianzhong Wang and Jingang Qi

Pages:

856-859

DOI:

10.4028/www.scientific.net/AMR.299-300.856

Citation:

Y. Cao et al., "Research on Iterative Learning Servo Controller of Permanent Magnet Linear Synchronous Motor", Advanced Materials Research, Vols. 299-300, pp. 856-859, 2011

Online since:

July 2011

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Price:

$35.00

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