Guidelines for the design of finite control set model predictive controllers
Research output: Contribution to journal › Article › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Journal | IEEE Transactions on Power Electronics |
| DOIs | |
| Publication status | E-pub ahead of print - 19 Nov 2019 |
| Publication type | A1 Journal article-refereed |
Abstract
Direct model predictive control (MPC) with reference tracking, also referred to as finite control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the academic community. Thanks to its applicability to a wide range of power electronic systems, it is considered a promising control method for such systems. However, to simplify the design, researchers frequently make choices that - often unknowingly - reduce the system performance. We discuss and analyze in this paper the factors that affect the closed-loop performance of FCS-MPC. Based on these findings, design guidelines are provided that help to maximize the system performance. To highlight the performance benefits, two case studies will be considered; the first one consists of a two-level converter and an induction machine, whereas the second one adds an LC filter between the converter and the machine.
Keywords
- Power electronic systems, model predictive control, direct control, ac drives, integer programming, weighting factors
Publication forum classification
Field of science, Statistics Finland
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