Lucas Pizolio
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ADVANCED PROCESS CONTROL

Model Predictive Control projects

A collection of applied MPC work: predictive control strategies for constrained, multivariable process units; from process identification and modelling to controller tuning and closed-loop performance evaluation.
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PROJECTS

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PUBLISHED

 2 

IN PROGRESS

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Linear State-Space MPC for a 1st-Order CSTR

Design of a Model Predictive Controller built on a linear state-space representation of a first-order Continuous Stirred-Tank Reactor (CSTR), obtained by linearizing the nonlinear mass/energy balance around a nominal operating point.
The controller regulates reactor temperature by manipulating coolant flow under input and rate-of-change constraints, with closed-loop simulations comparing MPC against PID for setpoint tracking and disturbance rejection.

Linear MPC for Continuous Fermentation

Model Predictive Control applied to a continuous fermentation process, where a linearized bioreactor model relates dilution rate and feed conditions to biomass, substrate and product concentrations at steady state.

The controller keeps the process at a target productivity/conversion point while respecting constraints on dilution rate and feed flow, rejecting disturbances such as feed composition variability without washout or over-dilution.