Title :
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
fDate :
31 Aug-4 Sep 1998
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;
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
DOI :
10.1109/IECON.1998.723946
