DocumentCode
2356583
Title
Robust speed controller for PMSM based on artificial neural network
Author
Pajchrowski, Tomasz ; Zawirski, Krzysztof
Author_Institution
Inst. of Control & Inf. Eng., Poznan Tech. Univ.
fYear
2005
fDate
11-14 Sept. 2005
Abstract
The paper deals with the problem of robust speed control of permanent magnet synchronous motors. In the paper an artificial neural network (ANN) was applied to design a robust controller. An original method of neural controller synthesis was presented in the paper. Application of this synthesis ensured a robustness of the speed control against variation of moment of inertia. Simulation and laboratory investigation results proved good robustness of the system
Keywords
angular velocity control; machine control; neurocontrollers; permanent magnet motors; robust control; synchronous motors; PMSM; artificial neural network; moment of inertia; neural controller synthesis; permanent magnet synchronous motors; robust speed controller; Artificial neural networks; Control system synthesis; Control systems; Digital signal processing; Laboratories; Network synthesis; Permanent magnet motors; Robust control; Shape control; Velocity control; DSP; Motion Contol; Neural network; Permanent magnet motor; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Electronics and Applications, 2005 European Conference on
Conference_Location
Dresden
Print_ISBN
90-75815-09-3
Type
conf
DOI
10.1109/EPE.2005.219294
Filename
1665484
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