MOBY-DIC: A MATLAB Toolbox for the design of MPC-based embedded control systems

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• Alberto Oliveri, University of Genoa
• Monday 09 April 2018, 15:00-16:00
• 1109B (CAP seminar room) .

If you have a question about this talk, please contact Giordano Scarciotti.

Abstract Model Predictive Control (MPC) is an advanced control technique, requiring the solution of a constrained optimization problem at each sampling time. For this reason, its implementation on embedded digital devices such as Field Programmable Gate Arrays or microcontrollers is not straightforward. Explicit MPC allows solving the optimization problem offline (e.g., through a personal computer), so that the only required online computation is the evaluation of a piecewise-affine function. The MOBY -DIC toolbox allows the automatic generation of embedded explicit MPC systems (comprising controller and state observer) described in VHDL or the C language, starting from the definition of the plant and of the constraints to be fulfilled. The toolbox provides tools for approximating the explicit MPC control laws with piecewise affine functions defined over a simplicial domain partition, in order to achieve faster computations and therefore lower sampling times. Simulink models for hardware-in-the-loop simulations of the closed-loop system can be easily generated.

Biography Alberto Oliveri received the M.Sc. degree in electronic engineering and Ph.D. degree in electrical engineering from the University of Genoa, Italy, in September 2009 and April 2013, respectively. He is currently an Assistant Professor in the Department of Electrical, Electronic, Telecommunications Engineering, and Naval Architecture, University of Genoa. His main research interests include design and circuit implementation of explicit exact and approximate model predictive control and modeling of nonlinear hysteretic systems. He is currently an Associate Editor of the IEEE Transactions on Circuits and Systems.

This talk is part of the Control and Power Seminars series.

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