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The basic PID controllers have difficulty in dealing with problems that appear in complex non-linear processes. This paper presents a practical non-linear PID controller that deals with these non-linear difficulties. It utilises a local model (LM) network, which combines a set of local models within an artificial neural network structure, to adaptively characterise the process non-linearity. Then a local controller network is formulated through a gating system deduced from the LMN to handle the non-linearity. A continuous stirred tank reaction (CSTR) case study illustrates the practicality of this method in the modelling and control of non-linear processes. PID controllers are still alive and appropriate for the control of non-linear processes.
Gao, Ruiyao and O'Dwyer, Aidan and Coyle, Eugene : A non-linear PID controller for CSTR using local model networks. Proceedings of the IEEE 4th World Congress on Intelligent Control and Automation (WCICA 2002), Shanghai, China, 10-14 June.