Ponencia
Min-Max Predictive Control of a Pilot Plant using a QP Approach
Autor/es | Gruber, Jorn Klaas
Rodríguez Ramírez, Daniel ![]() ![]() ![]() ![]() ![]() ![]() ![]() Alamo, Teodoro ![]() ![]() ![]() ![]() ![]() ![]() ![]() Bordons Alba, Carlos ![]() ![]() ![]() ![]() ![]() ![]() ![]() Camacho, Eduardo F. ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2008 |
Fecha de depósito | 2020-04-14 |
Publicado en |
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ISBN/ISSN | 0191-2216 |
Resumen | The practical implementation of min-max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by using approximate solutions or upper bounds ... The practical implementation of min-max MPC (MMMPC) controllers is limited by the computational burden required to compute the control law. This problem can be circumvented by using approximate solutions or upper bounds of the worst possible case of the performance index. In a previous work, the authors presented a computationally efficient MMMPC control strategy in which a close approximation of the solution of the min-max problem is computed using a quadratic programming problem. In this paper, this approach is validated through its application to a pilot plant in which the temperature of a reactor is controlled. The behavior of the system and the controller are illustrated by means of experimental results. |
Cita | Gruber, J.K., Rodríguez Ramírez, D., Alamo, T., Bordons Alba, C. y Camacho, E.F. (2008). Min-Max Predictive Control of a Pilot Plant using a QP Approach. En IEEE Conference on Decision and Control (3415-3420), Cancún (México): Institute of Electrical and Electronics Engineers (IEEE). |
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