Litcius/Paper detail

A Two-Step Continuous-Control-Set MPC for Modular Multilevel Converters Operating With Variable Output Voltage and Frequency

Yeiner Arias-Esquivel, Roberto Cárdenas, Luca Tarisciotti, Matias Díaz, Andrés Mora

2023IEEE Transactions on Power Electronics21 citationsDOI

Abstract

This article presents a new enhanced single-stage two-step continuous control set model predictive control (CCS-MPC) algorithm, for modular multilevel converters (MMCs) operating with variable output frequency at the ac port. The proposed two-step CCS-MPC allows the implementation of feed-forward compensation of the one-step ahead perturbations at the ac side, using an algorithm based on the Moore–Penrose pseudoinverse matrix. Limitations of the current and voltages in the MMC clusters are implemented to avoid overmodulation and overcurrents, being the solution of the constrained CCS-MPC online solved using the active-set method. Without losing generality, the experimental validation of the single-stage CCS-MPC is performed using an 18-cell MMC prototype, driving a 7.5-kW cage induction machine operating in a wide speed range. A dSPACE MicroLabBox platform is used to control the MMC-based drive by implementing the CCS-MPC algorithm, the modulation stage and the active-set method. It is experimentally demonstrated that the compensation of the low-frequency perturbations allows a considerable reduction in the required circulating currents at the low-frequency operation of the drive. Reduction in the capacitor voltage ripple, improved efficiency, and a smaller total harmonic distortion in the output currents are also achieved with the proposed single-stage two-step CCS-MPC.

Topics & Concepts

Control theory (sociology)Model predictive controlRippleVoltageConvertersOvermodulationEngineeringCapacitorTotal harmonic distortionElectronic engineeringComputer sciencePulse-width modulationControl (management)Electrical engineeringArtificial intelligenceHVDC Systems and Fault ProtectionSilicon Carbide Semiconductor TechnologiesMicrogrid Control and Optimization