Study of the Permanent Magnetic Drive Speed Control System Based on Single-Output PID Neural Network

Author

Songning Shi ; Dazhi Wang

Author_Institution

Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2012

fDate

2-4 Nov. 2012

Firstpage

262

Lastpage

265

Abstract

The single-output PID neural network control system is applied to Study of the permanent magnetic drive speed control system, the control system uses the BP algorithm to fix the connection weights through online training and learning, the objective function to reach the optimal value, in order to achieve the adaptive control of the permanent magnetic drive. The simulation results show that, on the permanent magnetic drive of this the nonlinear dynamic system control, single-output PID neural network control algorithm has a strong track performance and anti-load disturbance performance, can achieve good control.

Keywords

adaptive control; angular velocity control; backpropagation; disc drives; magnetic devices; neurocontrollers; nonlinear control systems; optimal control; permanent magnet machines; three-term control; BP algorithm; adaptive control; antiload disturbance performance; backpropagation; connection weights; nonlinear dynamic system control; objective function; online learning; online training; permanent magnetic drive speed control system; single-output PID neural network; track performance; Biological neural networks; Control systems; Copper; Drives; Neurons; Permanent magnets; BP algorithm; PID neural network; nonlinear control; permanent magnetic drive;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on

Conference_Location

Nanjing

Print_ISBN

978-1-4673-3093-0

Type

conf

DOI

10.1109/MINES.2012.207

Filename

6405674