Title: Application of the fuzzy neural network with inverse identification structure on neutralisation process

Authors: Ran Zhen, Hua Meng, Fan-hua Meng, Xue-li Wu

Addresses: College of Electronic Engineering and Information, Engineering Technology Research Centre of Hebei Province for Producing Process Automation, Hebei University of Science and Technology, Shijiazhuang 050054, China. ' College of Electronic Engineering and Information, Engineering Technology Research Centre of Hebei Province for Producing Process Automation, Hebei University of Science and Technology, Shijiazhuang 050054, China. ' College of Electronic Engineering and Information, Engineering Technology Research Centre of Hebei Province for Producing Process Automation, Hebei University of Science and Technology, Shijiazhuang 050054, China. ' College of Electronic Engineering and Information, Engineering Technology Research Centre of Hebei Province for Producing Process Automation, Hebei University of Science and Technology, Shijiazhuang 050054, China; Yanshan University, Qinhuangdao, 066004, P.R. China

Abstract: This paper analyses the characteristics of pH value on neutralisation process in detail. Aiming at the serious non-linear and long lag characteristics in the neutralisation process of acid sewages of the pharmaceutical enterprise, the neural network control with inverse identification structure is presented. It is a kind of associative memory neural network and fuzzy neural network adopts standard multilayer forward network structure. The system has good effect in practical applications.

Keywords: fuzzy neural networks; inverse identification; neutralisation; nonlinear systems; fuzzy logic; pH value; acid sewage; pharmaceutical companies; sewage disposal; waste disposal.

DOI: 10.1504/IJMIC.2010.032360

International Journal of Modelling, Identification and Control, 2010 Vol.9 No.1/2, pp.53 - 58

Available online: 01 Apr 2010 *

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