Adaptive Speed Control for PMSM Drive Based on Neuron and Direct MRAC Method

Author

Yu, Haisheng ; Wei, Qingwei ; Wang, Dongqing

Author_Institution

Sch. of Control Sci. & Eng., Shandong Univ., Jinan

Volume

2

fYear

0

fDate

0-0 0

Firstpage

8117

Lastpage

8121

Abstract

A novel single neuron speed controller of permanent magnet synchronous motor drive is presented, which is on-line trained by a gradient descent algorithm based on direct model reference adaptive control (MRAC) and field-oriented control scheme. A new error function is used to ensure motor speed tracking better. The system of permanent magnet synchronous motor drive is proved to be stable. The controller is very simple and easy to be achieved on a digital computer. The simulation results reveal that proposed method can ensure motor speed tracking quickly and precisely and have good performance of the load disturbance attenuation

Keywords

gradient methods; machine vector control; model reference adaptive control systems; neurocontrollers; permanent magnet motors; synchronous motor drives; velocity control; adaptive speed control; direct model reference adaptive control; error function; field-oriented control; gradient descent algorithm; motor speed tracking; permanent magnet synchronous motor drive; single neuron speed controller; Adaptive control; Artificial neural networks; DC motors; Linear feedback control systems; Neural networks; Neurons; Permanent magnet motors; Programmable control; Synchronous motors; Velocity control; Gradient Descent Algorithm; MRAC; Neuron; Permanent Magnet Synchronous Motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713555

Filename

1713555