A feedforward control system of PMSM based on artificial neural network

Author

Wenbin, Wan ; Xuedian, Zhang ; Jiaqun, Xu ; Renyuan, Tang

Author_Institution

Res. Inst. of Special Electr. Machines, Shenyang Univ. of Technol., China

Volume

2

fYear

2001

fDate

37104

Firstpage

679

Abstract

The paper presents a novel artificial neural network (ANN) based PID speed controller for a permanent magnet synchronous motor (PMSM) drive system. The ANN PID scheme is a MIMO controller and operates using the max-torque/current control strategy A general computer is used as hardware platform. Simulation and experiment results verify the success of a drive system with this ANN PID speed controller

Keywords

MIMO systems; control system analysis; control system synthesis; feedforward; machine control; machine testing; machine theory; permanent magnet motors; synchronous motors; three-term control; velocity control; MIMO controller; PID speed controller; artificial neural network; control design; control performance; control simulation; max-torque/current control strategy; permanent magnet synchronous motor drive; Artificial neural networks; Backpropagation algorithms; Computational modeling; Computer networks; Control systems; MIMO; Neural networks; Synchronous motors; Three-term control; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on

Conference_Location

Shenyang

Print_ISBN

7-5062-5115-9

Type

conf

DOI

10.1109/ICEMS.2001.971767

Filename

971767