Simulation of a neural net controller for motor drives

Luiz Eduardo Borges da Silva, Germano Lambert Torres, Ernesto Castillo Saturno, Alexandre P. Alves da Silva and Xuan Dai Do

Mathematics and Computers in Simulation (MATCOM), 1995, vol. 38, issue 4, 311-322

Abstract: This paper describes the use of neural networks in a speed control loop applied to a DC motor. The proposed technique makes use of the learning capability of neural networks to implement an auto-adaptive control structure. Such capability allows the network to learn the dynamic behavior of the SCR-driven DC motor. This identification network is then used to train another network as the process controller, so that the process output follows the reference signal. An adaptation scheme for working conditions is also presented. Its performance is verified through testing of physical parameter variations and noise presence, showing the applicability of the system.

Date: 1995
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/037847549500041U
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:38:y:1995:i:4:p:311-322

DOI: 10.1016/0378-4754(95)00041-U

Access Statistics for this article

Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens

More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier
Bibliographic data for series maintained by Catherine Liu ().