Mixed-level iteration schemes for nonlinear model predictive control

In general, numerical schemes for nonlinear model predictive control (NMPC) require the (approximate) solution of a nonlinear program in each sample for feedback generation. Thus, the application of NMPC to processes that need fast feedback poses a major computational challenge. Recently, new multi-...

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Detalles Bibliográficos
Autores principales: Frasch, Janick (Autor) , Wirsching, Leonard (Autor) , Sager, Sebastian (Autor) , Bock, Hans Georg (Autor)
Formato: Article (Journal)
Lenguaje:inglés
Publicado: 2012
In: IFAC-PapersOnLine
Year: 2012, Volumen: 45, Número: 17, Pages: 138-144
ISSN:2405-8963
DOI:10.3182/20120823-5-NL-3013.00085
Acceso en línea:Verlag, kostenfrei, Volltext: http://dx.doi.org/10.3182/20120823-5-NL-3013.00085
Verlag, kostenfrei, Volltext: http://www.sciencedirect.com/science/article/pii/S1474667016314409
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Notas de Autor:Janick V. Frasch, Leonard Wirsching, Sebastian Sager, Hans Georg Bock
Descripción
Sumario:In general, numerical schemes for nonlinear model predictive control (NMPC) require the (approximate) solution of a nonlinear program in each sample for feedback generation. Thus, the application of NMPC to processes that need fast feedback poses a major computational challenge. Recently, new multi-level iteration schemes have been proposed, extending the well-known idea of real-time iterations. These algorithms take into account different time scales inherent in the dynamic model by updating the data of the feedback-generating quadratic program (QP), i.e., Hessians and Jacobians, gradients, and constraint residuals, on different levels. In this contribution we consider new mixed-level updates of the QP data, which interval-wise apply different update levels. In particular, we apply higher-level updates more frequently on the first intervals of the control horizon, given their importance in the context of model predictive control in general. Targeting at modern computers with multi-core processing units, we describe an efficient parallel implementation of the mixed-level iteration approach and apply it to a benchmark problem from automotive engineering.
Notas:Available online 21 April 2016
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Descripción Física:Online Resource
ISSN:2405-8963
DOI:10.3182/20120823-5-NL-3013.00085