Real-time implementation of online trained neurocontroller for a BLDC motor

Author

Salem, M.M. ; Atia, Yousry ; Zahran, M.B. ; Zaki, A.M.

Author_Institution

Electron. Res. Inst., Cairo, Egypt

Volume

1

fYear

2001

fDate

2001

Firstpage

527

Abstract

Implementation and experimental verification of a simple neurocontroller (SNC) as a speed controller for a brushless DC motor is presented. The SNC with one weight and a linear hard limit activation function is trained online using the backpropagation algorithm. A modified error function is used to ensure good performance during the online training which has been used without previous off-line training. The SNC was implemented using a computer-interface card mounted on a PC. The driving system performance was investigated by a number of experimental tests for a variety of input reference speed trajectories

Keywords

angular velocity control; backpropagation; brushless DC motors; machine control; neurocontrollers; real-time systems; activation function; backpropagation; brushless DC motor; error function; neurocontroller; online learning; real time systems; speed control; Adaptive control; Artificial neural networks; Automatic control; Brushless DC motors; Control systems; Control theory; DC motors; Feedforward neural networks; Neural networks; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-7044-9

Type

conf

DOI

10.1109/IJCNN.2001.939075

Filename

939075