Handling Constraints and Raw Material Variability in Rotomolding through Data-Driven Model Predictive Control

Handling Constraints and Raw Material Variability in Rotomolding through Data-Driven Model Predictive Control

This work addresses the problems of uniquely specifying and robustly achieving user-specified product quality in a complex industrial batch process, which has been demonstrated using a lab-scale uni-axial rotational molding process. In particular, a data-driven modeling and control framework is deve...

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Bibliographic Details
Main Authors: Abhinav Garg, Hassan A. Abdulhussain, Prashant Mhaskar, Michael R. Thompson
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Processes
Subjects:
subspace identification
polymer processing
model predictive control
rotational molding
batch process modeling and control
Online Access:https://www.mdpi.com/2227-9717/7/9/610

Internet

https://www.mdpi.com/2227-9717/7/9/610

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