Title :
A PID neural network control for permanent magnet synchronous motor servo system
Author :
Lin, Lixiong ; Peng, Xiafu
Author_Institution :
Dept. of Autom., Xiamen Univ., Xiamen, China
Abstract :
This paper investigates the Application of PID neural network(PIDNN) control law for a permanent magnet synchronous motor(PMSM) servo system. First, the math model of a PMSM is introduced for the PMSM servo system, on which PIDNN controller with on-line learning, tracking and regulating ability is applied. This PIDNN controller is compared with the conventional PID controller, and single neural PID controller. The simulation results show that the control law of PIDNN yields excellent performance for both track following and real-time control in the PMSM servo system.
Keywords :
machine control; neural nets; permanent magnet motors; servomechanisms; synchronous motors; three-term control; PID neural network control; PIDNN controller; PMSM servo system; permanent magnet synchronous motor servo system; Accuracy; Adaptation model; Artificial neural networks; Mathematical model; Neurons; Servomotors; Stators; PID Neural Network (PIDNN); Permanent Magnet Synchronous Motor(PMSM) Servo System; Single neural PID; tracking control;
Conference_Titel :
Computer Science and Education (ICCSE), 2010 5th International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4244-6002-1
DOI :
10.1109/ICCSE.2010.5593702
