Position Accuracy Improvement of PMLSM System Based on Artificial Immune Algorithm

Author

Liu, Yang ; Tan, Bo Xue ; Zhang, Xue

Author_Institution

Shandong Univ. of Technol., Zibo

fYear

2007

fDate

5-8 Aug. 2007

Firstpage

3679

Lastpage

3683

Abstract

This paper suggests that the artificial immune algorithm can be used effectively on tuning of a PID control structures for PMLSM system. Because of perfect learning, adaptability and efficient pattern recognition, the data process ability of PMLSM was improved, which result in the improved position-precision and robustness of PMLSM. The results of simulation indicate that the proposed control scheme has stronger robustness and better rapidity, and smaller dynamical synchronous error. The artificial immune algorithm is effective to PID tuning.

Keywords

artificial immune systems; control system synthesis; linear synchronous motors; machine control; pattern recognition; permanent magnet motors; position control; three-term control; PID control tuning; PMLSM system; artificial immune algorithm; dynamical synchronous error; pattern recognition; permanent magnet linear synchronous motor system; position accuracy; Artificial immune systems; Automation; Biological system modeling; Control systems; Genetics; Immune system; Pattern recognition; Robustness; Synchronous motors; Three-term control; PID; linear motor; the artificial immune algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Mechatronics and Automation, 2007. ICMA 2007. International Conference on

Conference_Location

Harbin

Print_ISBN

978-1-4244-0828-3

Electronic_ISBN

978-1-4244-0828-3

Type

conf

DOI

10.1109/ICMA.2007.4304158

Filename

4304158