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.
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;
Conference_Titel :
Power Electronics and Applications, 2005 European Conference on
Conference_Location :
Dresden
Print_ISBN :
90-75815-09-3
DOI :
10.1109/EPE.2005.219294
