Implementación de capas superiores de la pirámide de automatización en una planta piloto híbrida

1. Daniel Montes ¹
2. Jesús M. Zamarreño ¹
3. José Luis Pitarch ¹
4. Erika Oliveira-Silva ¹
5. Cesar de Prada ¹

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Abstract

This work presents the implementation of a real-time optimization (RTO) and a nonlinear model predictive controller (NMPC) to a hybrid pilot plant. The plant consists of a Van de Vusse CSTR, two flowmeters, a pump, a valve, and four temperature sensors. In order to maintain the hydrodynamics and avoid typical problems with chemical substances, all the reactions are simulated. So, the only substance involved in the process is water. A calculation block simulates the chemical reaction using a model and real-time process measurements, calculating the heat generated by the reaction. This heat is applied to the reactor using two heating coils. Another model for the RTO and NMPC layers is formulated, and the parameters are adjusted using experimental measurements. Then, two experiments are carried out: trajectory tracking for the MPC, and economic optimization for the RTO. The present paper shows the advantages of using hybrid pilot plants for the study and research of advanced control strategies.

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