A design of CMAC based intelligent PID controllers

Authors:
Toru Yamamoto;Ryota Kurozumi;Shoichiro Fujisawa
Affiliations:
Hiroshima University, Graduate School of Education, Higashi-Hiroshima, Japan;Hiroshima University, Graduate School of Education, Higashi-Hiroshima, Japan;Takamatsu National College of Technology
Venue:
ICANN/ICONIP'03 Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing
Year:
2003

Citing 3
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Automatica (Journal of IFAC)
Neuro-Control Systems: Theory and Applications

Neuro-Control Systems: Theory and Applications

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Abstract

PID control schemes have been widely used for most industrial processes which are represented by nonlinear systems. However, it is difficult to find an optimal set of PID gains. On the other hand, Cerebellar Model Articulation Controller (CMAC) has been proposed as one of artificial neural networks. This paper presents a new design scheme of intelligent PID controllers whose PID gains are generated by using CMACs. The newly proposed control scheme is numerically evaluated on a simulation example.