DocumentCode :
3412112
Title :
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
Link To Document :
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