Imperial College London > Talks@ee.imperial > CAS Talks > Hardware design of MPC controllers

Hardware design of MPC controllers

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Model predictive control is chosen in the process industries due to its ability to handle physical constraints. Its applicability to processes with faster dynamics relies on the possibility of solving a quadratic programming optimization problem in real-time. FPG As are a promising platform for accelerating the computation of these problems, which should help to extend the application of MPC . In this talk, we discuss the issues that arise when creating a parametrizable design of a MPC controller. A custom architecture is proposed for the efficient computation of a large set of problems. Finally, this work is put into the context of a design automation tool.

This talk is part of the CAS Talks series.

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