DocumentCode
2134371
Title
H∞ control of permanent magnet linear synchronous motor based on neural network command-compensator
Author
Qingding, Guo ; Limei, Wang
Author_Institution
Sch. of Electr. Eng., Shenyang Univ. of Technol., China
fYear
2002
fDate
2002
Firstpage
194
Lastpage
196
Abstract
This paper presents a robust speed controller for PMLSM based on H∞ control theory. A command-compensator based on neural network is proposed to compensate the disturbances of the system. Simulation and experiment results show that the control strategy proposed in this paper is feasible. H∞ speed controller can make the direct drive system have strong robustness to parameter variation and external disturbances. The compensator based on neural network enhances the performance of the system.
Keywords
H∞ control; linear synchronous motors; machine control; neurocontrollers; permanent magnet motors; robust control; synchronous motor drives; H∞ control; command-compensator; direct drive system; external disturbances; neural network command-compensator; parameter variation; permanent magnet linear synchronous motor; robust speed controller; robustness; Control systems; Control theory; Mathematical model; Neural networks; Permanent magnet motors; Riccati equations; Robust control; Servomechanisms; Synchronous motors; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Motion Control, 2002. 7th International Workshop on
Print_ISBN
0-7803-7479-7
Type
conf
DOI
10.1109/AMC.2002.1026915
Filename
1026915
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