Artículo
Implementation of min–max MPC using hinging hyperplanes. Application to a heat exchanger
Autor/es | Rodríguez Ramírez, Daniel
Camacho, Eduardo F. Arahal, Manuel R. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Fecha de publicación | 2004 |
Fecha de depósito | 2020-03-11 |
Publicado en |
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Resumen | Min–max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or uncertainties in an explicit manner. The implementation of MMMPC suffers a large computational burden due ... Min–max model predictive control (MMMPC) is one of the few control techniques able to cope with modelling errors or uncertainties in an explicit manner. The implementation of MMMPC suffers a large computational burden due to the numerical min–max problem that has to be solved at every sampling time. This fact severely limits the range of processes to which this control structure can be applied. An implementation scheme based on hinging hyperplanes that overcome these problems is presented here. Experimental results obtained when applying the controller to the heat exchanger of a pilot plant are given. |
Identificador del proyecto | DPI2001-2380-C02-01
DPI2002-04375-C03-01 |
Cita | Rodríguez Ramírez, D., Fernández Camacho, E. y Arahal, M.R. (2004). Implementation of min–max MPC using hinging hyperplanes. Application to a heat exchanger. Control Engineering Practice, 12 (9), 1197-1205. |