Nonlinear PI controller design: a neural network approach
Journal
Journal of the Chinese Institute of Chemical Engineers
Journal Volume
26
Journal Issue
2
Pages
67-76
Date Issued
1995
Author(s)
Chen Wen-Chih
Abstract
This article uses a hierarchical, multilayered neural network to provide parameters for a nonlinear PI controller in response to local operating conditions. The Generalized Delta Rule is adopted for use in training the connective weights of the network for subsequent on-line variation of the network-based PI controller parameters during control. Several numerical examples and one example of a highly nonlinear neutralization process are supplied to demonstrate the superior servo as well as regulatory control performance of the proposed neural net-based nonlinear PI control system.
Type
journal article