Nonlinear Hammerstein-Hammerstein identification of air preheating furnace of a pneumatic conveying and drying process

This paper presents a modified Hammerstein-Hammerstein nonlinear online identification method for an industrial air pre-heating furnace involves drying and conveying of materials, by relating set point, error signal, the control variable and process variable in a systematic manner using the prediction error framework. The method developed here to address the gray Hammerstein-Hammerstein estimation problem under closed loop settings. The proposed model is tested on an industrial air heating system under different air flow rate. The obtained responses of the identified system were found to be closely correlated with the experimental responses.