Back to Search Start Over

Evolutionary neural networks and DNA computing algorithms for dual-axis motion control

Authors :
Chun-Liang Lin
Ching-Huei Huang
Source :
Engineering Applications of Artificial Intelligence. 24:1263-1273
Publication Year :
2011
Publisher :
Elsevier BV, 2011.

Abstract

A new method is proposed to deal with the dual-axis control of a multi-variables system with two induction motors. Investigation of resolving the cross-coupling problem of dual-axis platform is addressed by a neural net-based decoupling compensator and a sufficient condition ensuring closed-loop stability is derived. An evolutionary algorithm processing the universal seeking capability is proposed for finding the optimal connecting weights of the neural decoupling compensator and the gains of PID controllers. Extensive numerical studies verify the performance and applicability of the proposed design under a variety of operating conditions.

Details

ISSN :
09521976
Volume :
24
Database :
OpenAIRE
Journal :
Engineering Applications of Artificial Intelligence
Accession number :
edsair.doi...........03d791254ef6820caa313d06270308f5
Full Text :
https://doi.org/10.1016/j.engappai.2011.06.013