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https://repository.unad.edu.co/handle/10596/29769| Title: | What is the Predictive Control and to Where it is Planning? ¿Qué es el Control Predictivo y Hacia Dónde se Proyecta? |
| metadata.dc.creator: | Sendoya, Diego Fernando |
| Keywords: | control horizon; prediction horizon; receding horizon; process model; base response; optimizing response; reference trajectory;horizonte de control; horizonte de predicción; horizonte deslizante; modelo del proceso; respuesta base; respuesta óptima; trayectoria de referencia |
| Publisher: | Universidad Nacional Abierta y a Distancia, UNAD |
| metadata.dc.relation: | http://hemeroteca.unad.edu.co/index.php/publicaciones-e-investigacion/article/view/1106/1268 /*ref*/J. Richalet, A. Rault, J.L. Testud y J. Papon, “Model Predictive Heuristic Control: Application to Industrial Processes”, Automatica, vol. 14 (2), pp. 413-428, 1978. [2] D.W. Clarke, “Application of Generalized Predictive Control to Industrial Processes”, IEEE Control Systems Magazine, vol 122, pp. 49-55, 1988. [3] J. Richalet, “Industrial Applications of Model Based Predictive Control”, Automatica, vol 29 (5), pp. 1251- 1274, 1993. [4] D.A. Linkers y M. Mahfonf, “Advances in Model-Based Predictive Control”, en Generalizad Predictive Control in Clinical Anaesthesia, Oxford University Press, 1994. [5] J. Gomez Ortega y E.F. Camacho, “Mobile Robot Navigation in a Partially Structured Environment using Neural Predictive Control”, Control Engineering Practice, vol 4, pp. 1669-1679, 1996. [6] S.J. Qin y T.A. Badgwell, “An Overview of Industrial Model Predictive Control Technology”, en AIChE Symposium Series, pp. 232-256, 1997. [7] S.J. Qin y T.A. Badgwell, “An Overview of Nonlinear Model Predictive Control Applications”, en IFAC Workshop on Nonlinear Model Predictive Control. Assessment and Future Directions, Ascona, Suiza, 1998. [8] J. Rawlings, “Tutorial Overview of Model Predictive Control”, IEEE Control Systems Magazine, pp. 38-52, 2000. [9] H. Takatsu, T. Itoh y M. Araki, “Future needs for the control theory in industries. Report and topics of the control technology survey in japanese indsutry”, Journal of Process Control, vol 8, pp. 369–374, 1998. |
| metadata.dc.format.*: | application/pdf |
| metadata.dc.type: | info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Description: | Model Based Predictive Control (MBPC or simply MPC) is a control methodology that uses the process model to predict the future plant outputs and optimize the future control actions. In fact, the predictive control cannot be considered as a separate control strategy but rather a family of integrated control methods such as optimal control, control of processes with dead time, multivariable processes control, etc. This has allowed predictive control has been an important development in both the scientific and academic community and in the industry. El control predictivo basado en modelo (Model Based Predictive Control – MBPC o simplemente MPC) es una metodologia de control que hace uso del modelo del proceso para predecir las salidas futuras de la planta y con base en ello optimizar las acciones de control futuras. De hecho, el control predictivo no se puede considerar como una estrategia de control independiente sino, que por el contrario, integra toda una familia de metodos de control tales como, el control optimo, el control de procesos con tiempos muertos, el control de procesos multivariables, etc. Esto ha permitido que el control predictivo haya tenido un desarrollo importante tanto en la comunidad cientifica y academica, como en el sector industrial. |
| metadata.dc.source: | Magazine specialized in Engineering; Vol. 7 (2013); 53-59 Publicaciones e Investigación; Vol. 7 (2013); 53-59 2539-4088 1900-6608 |
| URI: | https://repository.unad.edu.co/handle/10596/29769 |
| Other Identifiers: | http://hemeroteca.unad.edu.co/index.php/publicaciones-e-investigacion/article/view/1106 10.22490/25394088.1106 |
| Appears in Collections: | Revista Publicaciones e Investigación |
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