Neural network based brushless DC motor servo system

Author

Limei, Wang ; Yan, Wang ; Qingding, Guo ; Ruifu, Luo

Author_Institution

Robot Res. Inst., Harbin Inst. of Technol., China

Volume

1

fYear

1998

fDate

31 Aug-4 Sep 1998

Firstpage

67

Abstract

This paper describes a DSP-based neural network controller of a high-performance brushless DC servomotor system. It has a multi-layer feedforward structure and adopts a DSP (TMS320C30) as its operation element. Its learning scheme and design method are discussed. Simulation and experiment results are presented and the performance of such neural network controllers is studied

Keywords

backpropagation; brushless DC motors; control system synthesis; feedforward neural nets; machine control; machine theory; neurocontrollers; servomotors; TMS320C30 DSP; brushless DC servomotor system; control design method; control performance; control simulation; experiment results; learning scheme; multi-layer feedforward structure; neural network controller; Artificial neural networks; Brushless DC motors; Control systems; Digital signal processing; Feedforward neural networks; Multi-layer neural network; Neural networks; Nonlinear control systems; Optimal control; Servomechanisms;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE

Conference_Location

Aachen

Print_ISBN

0-7803-4503-7

Type

conf

DOI

10.1109/IECON.1998.723946

Filename

723946