Integration of inverter constraints in geometrical quantification of the optimal solution to an MPC controller

dc.contributor.authorRaath, J.
dc.contributor.authordu Toit Mouton, H.
dc.contributor.authorGeyer, T.
dc.date.accessioned2017-10-05T08:37:54Z
dc.date.available2017-10-05T08:37:54Z
dc.descriptionPublished Conference Proceedingsen_US
dc.description.abstractThis paper considers a model predictive controller with reference tracking that manipulates the integer switch positions of a power converter. It can be shown that the optimal switch position can be computed without solving an optimization problem. Specifically, in a new coordinate system, the optimization problem can be solved offline, leading to a polyhedral partition of the solution space. The optimal switch position can then be found using a binary search tree. This concept is exemplified for a three-level single-phase converter with an RL load.en_US
dc.format.extent838 612 bytes, 1 file
dc.format.mimetypeApplication/PDF
dc.identifier.urihttp://hdl.handle.net/11462/1197
dc.language.isoen_USen_US
dc.publisherIEEE Xplore: Control and Modeling for Power Electronics (COMPEL), 2016 IEEE 17th Workshopen_US
dc.subjectModel Predictive Controlen_US
dc.subjectVector Quantizationen_US
dc.subjectDelaunay triangulationen_US
dc.subjectVoronoi diagramen_US
dc.subjectBinary Search Treeen_US
dc.titleIntegration of inverter constraints in geometrical quantification of the optimal solution to an MPC controlleren_US
dc.typePresentationen_US

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