Control of the modular multilevel matrix converter based on continuous control set model predictive control

Urrutia-Ortiz, Matias A. (2022) Control of the modular multilevel matrix converter based on continuous control set model predictive control. PhD thesis, University of Nottingham.

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Abstract

The Modular Multilevel Matrix Converter (M3C) is an AC to AC power converter composed of 9 arms that has been proposed for high-power applications such as motor drive and wind energy conversion systems. Due to its complex nature, control of the M3C is usually divided into several sub-goals, and the capacitor voltage regulation varies according to the operating mode, where two classifications are commonly used: Different Frequency Mode (DFM) and Equal Frequency Mode (EFM). EFM is more challenging because of the larger capacitor voltage oscillations that can be produced. In this work, a Continuous-Control-Set Model Predictive Control (CCS-MPC) for energy management and circulating current control of the M3C is proposed. A first MPC stage solves an equality-constrained quadratic programming problem, for which an optimal solution is analytically obtained. The result is a simple control law, which ensures good transient and steady performance in EFM/DFM. The second MPC stage regulates the circulating currents with an inequality-constrained quadratic programming problem. To solve the inherent optimisation problem associated with the second CCS-MPC, an active-set algorithm is implemented. Experimental and simulation results from a 27-cell M3C prototype validate the proposed strategy and show a good overall performance.

Item Type: Thesis (University of Nottingham only) (PhD)
Supervisors: Watson, Alan
Clare, Jonathan
Keywords: AC-to-AC converters; Predictive control
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculties/Schools: UK Campuses > Faculty of Engineering
Item ID: 69838
Depositing User: Urrutia Ortiz, Matias
Date Deposited: 30 Dec 2022 04:40
Last Modified: 30 Dec 2022 04:40
URI: https://eprints.nottingham.ac.uk/id/eprint/69838

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