Title :
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
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;
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
DOI :
10.1109/ICEMS.2001.971767
