A New Tuning Approach for MPC Applied to a Disturbed DC Motor
| Autor: | Adnan Yassine, Brayima Dakyo, Mamadou Bailo Camara, Marwa Turki, Nicolas Langlois, Ismail Oukkacha |
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| Přispěvatelé: | Pôle Automatique et Systèmes, Institut de Recherche en Systèmes Electroniques Embarqués (IRSEEM), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-École Supérieure d’Ingénieurs en Génie Électrique (ESIGELEC), Institut d'Informatique et de Mathématiques Appliquées de Grenoble (IMAG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), Groupe de Recherche en Electrotechnique et Automatique du Havre (GREAH), Université Le Havre Normandie (ULH), Normandie Université (NU)-Normandie Université (NU) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science 020206 networking & telecommunications Observable 02 engineering and technology DC motor [SPI.AUTO]Engineering Sciences [physics]/Automatic Model predictive control 020901 industrial engineering & automation Control theory Robustness (computer science) Performance comparison 0202 electrical engineering electronic engineering information engineering Process control ComputingMilieux_MISCELLANEOUS Numerical stability |
| Zdroj: | 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT) 2018 5th International Conference on Control, Decision and Information Technologies (CoDIT), Apr 2018, Thessaloniki, Greece. ⟨10.1109/CoDIT.2018.8394814⟩ CoDIT |
| DOI: | 10.1109/CoDIT.2018.8394814⟩ |
| Popis: | In order to get correct results using the Model Predictive Control (MPC), one must find the suitable values of its parameters. Despite a large number of papers in literature on MPC tuning methods, there is no available analytical approach permitting to identify explicitly the robustness area of a process independently of its order. Here we intend to overcome this limit thanks to an analytical one. The interest of our approach is to be applicable to a wide set of linear controllable and observable single-input single-output (SISO) processes. The issues of optimal closed-loop stability and the energy consumed are addressed in this paper. The proposed method is tested experimentally via a DC motor. Finally, a performance comparison is made with existing methods to emphasize its effectiveness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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