1. Zone MPC with guaranteed identifiability in presence of predictable disturbances.
- Author
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Žáčeková, Eva, Pčolka, Matej, and Šebek, Michael
- Subjects
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ARCHITECTURAL models , *ENVIRONMENTAL engineering , *PREDICTIVE control systems , *BANKING laws , *ENERGY consumption , *ZONING - Abstract
• With increasing industrial use of the MPC, model acquisition is of crucial importance. • The paper aims at improving the accuracy of models reidentified from MPC-closed-loop data. • The identifiability is guaranteed using either of two newly proposed algorithms. • Presence of external disturbances is reflected using an enhanced data excitation criterion. • The concept is validated using two detailed case studies (an artificial example and a high-fidelity building model). In this paper, the task of ensuring sufficiently excited data for the subsequent re-identification of a model used within the model predictive control framework is tackled. It introduces two algorithms that are developed specifically for zone MPC for systems with external disturbances. Both of them work in two steps and build on the original zone MPC solution. The trade-off between the data informativeness and degradation of the control performance is given by a user-defined threshold for the performance degradation. Moreover, a new optimization criterion quantifying data informativeness is introduced. The proposed algorithms are described in detail and their theoretical properties are discussed. Two different verification scenarios are presented, the first one with an artificial example and the second one considering a real-life building climate control task using a high-fidelity testbed model. The results show that they significantly outperform the classic zone MPC in data informativeness while maintaining acceptable zone violation and energy consumption. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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