Suedhoff, Thorben Christoph (Friedrich-Alexander-University Erlangen-Nuremberg), Shih, Hsuan-Yang (Technische University Berlin), Villwock, Jörn (Technische Universität Berlin), Bliatsiou, Chrysoula (Technische Universität Berlin), Topalovic, Daniel (Technische), Graichen, Knut (University Erlangen-Nürnberg (FAU)), Kraume, Matthias (Technische Universität Berlin), Knorn, Steffi (Technische Universität Berlin)

Closed-loop control of a liquid-liquid mixer using MPC and GPR-models

Scheduled for presentation during the Regular Session "Control Applications" (WeAB), Wednesday, June 11, 2025, 11:30−11:50, Room A

33rd Mediterranean Conference on Control and Automation, June 10-13, 2025, Tangier, Morocco

This information is tentative and subject to change. Compiled on May 9, 2025

Abstract

Particulate processes are widely used in different industries. Due to their complexity and intransparency they are often controlled manually and open-loop in practice, with classic automatic control approaches being hard to apply. To close the control loop of a liquid-liquid mixer, we consider Model Predictive Control. The system is described by a Gaussian Process Regression-Model based on experimental data, since the well explored population balance models (PBM) are difficult to identify for a real system and require significant computational effort, making them hard to use in an automatic control scheme. The relevant cost function and weights take into account not only the mixing process, but also the favorable conditions for the subsequent settler.