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

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dc.contributor.author Raath, J.
dc.contributor.author du Toit Mouton, H.
dc.contributor.author Geyer, T.
dc.date.accessioned 2017-10-05T08:37:54Z
dc.date.available 2017-10-05T08:37:54Z
dc.identifier.uri http://hdl.handle.net/11462/1197
dc.description Published Conference Proceedings en_US
dc.description.abstract This 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.extent 838 612 bytes, 1 file
dc.format.mimetype Application/PDF
dc.language.iso en_US en_US
dc.publisher IEEE Xplore: Control and Modeling for Power Electronics (COMPEL), 2016 IEEE 17th Workshop en_US
dc.subject Model Predictive Control en_US
dc.subject Vector Quantization en_US
dc.subject Delaunay triangulation en_US
dc.subject Voronoi diagram en_US
dc.subject Binary Search Tree en_US
dc.title Integration of inverter constraints in geometrical quantification of the optimal solution to an MPC controller en_US
dc.type Presentation en_US


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