Title :
A Linear Motor Position Control Based on the Artificial Immune Clustering Methodology
Author :
Yang, Liu ; Ying, Liu
Author_Institution :
Shandong Univ. of Technol. Zibo City, Zibo
Abstract :
In this paper, a novel algorithm, the artificial immune clustering methodology (AICM), is developed to control the position of the permanent magnet linear synchronous motor (PMLSM) intelligently. The advantage of the AICM, perfect learning and adaptability, as well as efficient pattern recognition, enhances the data process ability of PMLSM, which results in the improved position-precision and robustness. The experimental results are given out and the validity of this method is verified.
Keywords :
artificial immune systems; learning (artificial intelligence); linear motors; machine control; pattern clustering; permanent magnet motors; position control; artificial immune clustering; learning; linear motor position control; pattern recognition; permanent magnet linear synchronous motor; Control systems; Couplings; Friction; Immune system; Mathematical model; Mathematics; Pattern recognition; Position control; Robustness; Synchronous motors; PMLSM; immune system; the artificial immune clustering method;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346870
