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Updated: Jan 19, 2026

A Modeling and Simulation Method for Preliminary Design of an Electro-Variable Displacement Pump
Published on: June 1, 2022
Dynamic Optimization and Non-linear Model Predictive Control to Achieve Targeted Particle Morphologies
Wolfgang Gerlinger1, José Maria Asua2, Tomáš Chaloupka3
1BASF SE Ludwigshafen Germany.
Abstract:
An event-driven approach based on dynamic optimization and nonlinear model predictive control (NMPC) is investigated together with inline Raman spectroscopy for process monitoring and control. The benefits and challenges in polymerization and morphology monitoring are presented, and an overview of the used mechanistic models and the details of the dynamic optimization and NMPC approach to achieve the relevant process objectives are provided. Finally, the implementation of the approach is discussed, and results from experiments in lab and pilot-plant reactors are presented.
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