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

Yong Cao; De Jun Luo; Hua De Li

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

Paper Titles

Design of Monitoring Device for Goods Train Based on Zigbee Technology
p.836

Research and Application of an Enhanced Data Mining Algorithm in Virtual Manufacturing Technology
p.840

H^∞ Controller for Networked Nonlinear Manufacturing Process Interconnected Systems Based on T-S Fuzzy Model
p.844

Study on the Reliability Allocation Algorithm Based on Partial Squares Sum
p.851

Research on Iterative Learning Servo Controller of Permanent Magnet Linear Synchronous Motor
p.856

Study on a Novel Single-Stage QR PFC Converter
p.860

Engineering Application Research on PLC in the Oily Water Treatment Mechanical Device
p.866

Study on Voltage Stability of Electricity Network Structure Based on the Eigenvalue Method
p.870

Influences of Technology Parameters of Heavy Shell Ring Rolling Mill with Double Drive Rolls Based on FEM
p.874

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 299-300Research on Iterative Learning Servo Controller of...

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

Abstract:

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.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 299-300)

Pages:

856-859

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.299-300.856

Citation:

Cite this paper

Online since:

July 2011

Authors:

Yong Cao, De Jun Luo, Hua De Li

Keywords:

Iterative Learning, Linear Servo, Load Identification, RBF Feed-Forward Compensation

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] G. Qingding, S. Yibiao and W. Limei: Modern permanent magnet motor AC servo system, Beijing, China Electric Power Press.

Google Scholar

[2] Z. Ximei, G. Qingding: Transactions of China Electrotechnical Society Vol. 20 (2005), p.78.

Google Scholar

[3] J.W. Rong: IEEE Transactions on Industry Electronics Vol. 54 (2007), p.586.

Google Scholar

[4] J.L. Faa, H.S. Po, E.F. Rong: IEEE Transactions on Aerospace and Electronic Systems Vol. 41 (2005), p.620.

Google Scholar

[5] X. Shengli, T. Senping and X. zhendong: Iterative learning control theory and applications. Beijing, science press, (2005).

Google Scholar

[6] S.M. Xuan, H.X.X. Iterative Learning identification and control of discrete time-varying systems. Proceedings of the 26th Chinese Control Conference, (2007).

Google Scholar