The Steady State Precision Control of DC Linear Motor Based on State Observer and Feedback

Article Preview

Abstract:

This paper proposes a guarantee steady state observation precision and pole assignment precision of the feedback controller, the basic idea is to introduce state observer can easily get dc linear motor speed and acceleration condition, state space pole assignment can pass, select the appropriate zero pole can improve the control performance of the motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Based on the observation of the gain matrix can compensate for the steady-state error of the dc linear motor. Matlab simulation results show that the control algorithm is compared with the traditional pole assignment, it is able to quickly and accurately follow the speed of the motor. The system has better dynamic and steady-state performance, and its characteristic of the closed-loop system robustness is stronger.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1058-1062

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wang Shuhonh, Xiong Guangyu, Analyses of Permanent Magnet Linear Snchronous Motor and Validated by FEM [J]. Electric Machines and Control, 15 (7): 8-13. (2011).

Google Scholar

[2] A. Basak, F. J Anai. A DC LINEAR MOTOR WITH A SQUARE ARMATURE[C]. IEEE Transactions on Energy Conversion, 10(3): 462-469. (1995).

DOI: 10.1109/60.464869

Google Scholar

[3] Zhang Guozhu, Chen Jie, Li Zhiping, Adaptive Fuzzy Friction Compensation for Linear Motor Servo Systems [J]. Electric Machines and Control, 13 (1): 154-160. (2009).

DOI: 10.1109/chicc.2008.4605466

Google Scholar

[4] Li Yiqiang, Zhou Huixing, Wang Xiankui, etc. Robust Time-Optimal Control of a Linear Motor Positioning System [J]. Electric Machines and Control, 15 (3): 13-18. (2011).

Google Scholar