DocumentCode :
1640077
Title :
Position Accuracy Improvement of PMLSM System Using Artificial Immune Algorithm
Author :
Yang, Liu ; Boxue, Tan ; Xue, Zhang
Author_Institution :
Shandong Univ. of Technol., Zibo
fYear :
2007
Firstpage :
2
Lastpage :
5
Abstract :
This paper suggests that the artificial immune algorithms can be used effectively on tuning of a PID control structures for PMLSM system. The controller´s attribute behavior mechanism in PMLSM and the artificial immune system have certain similarities since both systems deal with various attribute inputs (antigens: input and noise) and output through interactions among multiple attribute modules (lymphocytes and/or antibodies: control function). Simulation results reveal that artificial immune algorithm are effective use to search for optimal control against disturbance.
Keywords :
linear synchronous motors; machine control; optimal control; permanent magnet motors; position control; three-term control; PID control; PMLSM system; artificial immune algorithm; optimal control; permanent magnet linear synchronous motor; position accuracy improvement; Artificial immune systems; Automatic control; Cities and towns; Control systems; Feedback; Friction; Sliding mode control; Synchronous motors; Three-term control; Uncertainty; PID; PMLSM; the artificial immune algorithm;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/CHICC.2006.4346869
Filename :
4346869
Link To Document :
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