About this document
Predictive Control of FCC Units Using MIMO by nhasan.usask is a document available to read on EtoBox.
This document discusses the implementation of a neural network-based model predictive control (MPC) for a fluid catalytic cracking (FCC) unit, demonstrating its effectiveness through dynamic simulations. The neural model captures process dynamics and interactions, achieving relative output errors around 1% and confirming good regulatory and tracking properties in various simulated scenarios. The study highlights the potential of using MIMO neural models for improved control in industrial FCC applications, a
- Author
- nhasan.usask
- Language
- EN