Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm
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Date
2015-05-31
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Increasing demands for high precision environmental protection measures regarding
particulate matter (PM) emission from industrial productions and non-linear
characteristics of spray tower system lead to the application of an intelligent control
technique to adequately deal with these complexities. This includes the use of an artificial
neural network (ANN) based predictive control strategy and differential evolution (DE)
optimization algorithm to determines the optimal control signal, uk (liquid droplet size,
d D ) by minimizing the cost function such that the output is set below the allowable PM
concentration. A recurrent neural network (RNN) based on non-linear autoregressive with
exogenous inputs (NARX) model has been used to develop the dynamic model of the
system. The data for the training was obtained from empirical model of a spray tower
system which involved 500 data sets representing the process input and the output PM
concentration. The control process was implemented using MATLAB code by considering
two DE optimization strategies; DE/best/1/bin and DE/rand/1/bin. The effectiveness of the
controllers was demonstrated for different iterations by tuning the control parameters such
as the prediction horizon, weight factor and control horizon. From the control response, it
can be seen that the controller for the DE/rand/1/bin does a very good job of controlling
the PM below the WHO allowable emission rate of 20g/μm
Description
Keywords
Poles and towers, Training, Optimization, Prediction algorithms, Artificial neural networks, Mathematical model, Liquids
Citation
Danzomo, B. A., Salami, M. J. E., & Khan, M. R. (2015, May). Identification and predictive control of spray tower system using artificial neural network and differential evolution algorithm. In 2015 10th Asian Control Conference (ASCC) (pp. 1-7). IEEE.