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Robust Feasibility and Stability in MPC for Buffer Management Problems


A. Kim

Master Thesis SS16

Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years it pushed from slow processes (e.g. in chemical industries) towards real-time high-speed systems in automotive applications or power electronics. A typical use case for MPC is the management of buffers between simple dynamic systems. Examples of such systems include pumped storage hydroelectricity, variable speed drives (VSDs), grid energy storage, etc. These are systems that operate in real time, quite often in a safety critical environment and contain noise. In this thesis a mathematical abstraction for buffer management problems (BMPs) is presented and the robust, stable and recursively feasible MPC schemes tailored to these problems are formulated. Some of the important properties are ensured by exploiting invariant set theory. The framework is then applied to a specific example of VSDs, which are devices that enable efficient control of the power flow and frequency conversion between electrical grids and electric machines.


Type of Publication:

(12)Diploma/Master Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2016:IFA_5560
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