DocumentCode
2959274
Title
The Permanent Magnet Linear Synchronous Motor Distribution System Based on Fuzzy PID Control
Author
Xiuhe, Lu ; Ke, Wu ; Min, Guo
Author_Institution
Electr. & Electron. Eng. Inst., Changchun Univ. of Technol., Changchun, China
Volume
1
fYear
2011
fDate
28-29 March 2011
Firstpage
542
Lastpage
545
Abstract
Considering the disadvantages of the distribution system, which is made of the rotating machine and the mechanical transmission device, such as low positioning accuracy, vulnerable to load influence, this paper puts forward a new kind of distribution system consists of the permanent magnet linear synchronous motor (PMLSM), which is based on the fuzzy Proportional-Integral-Differential (PID) control. Having researched the equation of the permanent magnet linear synchronous motor on the direct-quadrture (d-q) axis, the paper not only gives the mathematical model of the vector control system, but designs the fuzzy Proportional-Integral-Differential velocity controller. Through the on-line adjustment of the parameters of fuzzy rules, the controlled objects can not only get wide speed range and high repeat positioning accuracy, but also keep the robustness of the outputs in special field conditions. Simulation results show that the control method has a strong perturbation resistance and stability, and the algorithm is also simple.
Keywords
angular velocity control; fuzzy control; fuzzy set theory; linear synchronous motors; machine vector control; permanent magnet motors; stability; three-term control; direct-quadrture axis; fuzzy PID control; fuzzy rules; low positioning accuracy; mechanical transmission device; permanent magnet linear synchronous motor distribution system; perturbation resistance; proportional-integral-differential control; rotating machine; stability; vector control system; velocity controller; Accuracy; Fuzzy control; Load modeling; Mathematical model; Permanent magnet motors; Robustness; Synchronous motors; PMLSM; fuzzy PID controller; fuzzy ruler;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location
Shenzhen, Guangdong
Print_ISBN
978-1-61284-289-9
Type
conf
DOI
10.1109/ICICTA.2011.592
Filename
5750675
Link To Document