Nonlinear Model-Based Inferential Control of Moisture Content of Spray Dried Coconut Milk

The moisture content of a powder is a parameter crucial to be controlled in order to produce stable products with a long shelf life. Inferential control is the best solution to control the moisture content due to difficulty in measuring this variable online. In this study, fundamental and empirical...

Full description

Saved in:
Bibliographic Details
Published in:Foods 2020-08, Vol.9 (9), p.1177
Main Authors: Abdullah, Zalizawati, Taip, Farah Saleena, Kamal, Siti Mazlina Mustapa, Rahman, Ribhan Zafira Abdul
Format: Article
Language:English
Subjects:
Aluminum
Coconut milk
Controllers
Drying
Engineering
Food science
Humidity
inferential control
Moisture content
Moisture control
NARX
neural network
Neural networks
Nonlinear control
One dimensional models
one-dimensional
Plant-based beverages
Process controls
Shelf life
Spray drying
Stability
Water content
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The moisture content of a powder is a parameter crucial to be controlled in order to produce stable products with a long shelf life. Inferential control is the best solution to control the moisture content due to difficulty in measuring this variable online. In this study, fundamental and empirical approaches were used in designing the nonlinear model-based inferential control of moisture content of coconut milk powder that was produced from co-current spray dryer. A one-dimensional model with integration of reaction engineering approach (REA) model was used to represent the dynamic of the spray drying process. The empirical approach, i.e., nonlinear autoregressive with exogenous input (NARX) and neural network, was used to allow fast and accurate prediction of output response in inferential control. Minimal offset (
ISSN:2304-8158
2304-8158
DOI:10.3390/foods9091177