Local linear model tree and Neuro-Fuzzy system for modelling and control of an experimental pH neutralization process

Brazilian Journal of Chemical Engineering

G. Petchinathan²  K. Valarmathi¹  D. Devaraj²  T. K. Radhakrishnan¹ 

[1] ,Kalasalingam Academy of Research and Education Department of Instrumentation and Control Engineering Krishnankoil Tamilnadu ,India

关键词: LOLIMOT;    ANFIS;    Internal Model Control;    pH process;   

DOI  :  10.1590/0104-6632.20140312s00002287

来源: SciELO

【 摘 要 】

This paper describes the modelling and control of a pH neutralization process using a Local Linear Model Tree (LOLIMOT) and an adaptive neuro-fuzzy inference system (ANFIS). The Direct and Inverse model building using LOLIMOT and ANFIS structures is described and compared. The direct and inverse models of the pH system are identified based on experimental data for the LOLIMOT and ANFIS structures. The identified models are implemented in the experimental pH system with IMC structure using a GUI developed in the MATLAB -SIMULINK platform. The main aim is to illustrate the online modelling and control of the experimental setup. The results of real-time control of an experimental pH process using the Internal Model Control (IMC) strategy are also presented.

【 授权许可】

CC BY   
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