Model predictive pulse pattern control for the five-level active neutral-point-clamped inverter

Nikolaos Oikonomou, Christof Gutscher, Petros Karamanakos, Frederick D. Kieferndorf, Tobias Geyer

    Research output: Contribution to journalArticleScientificpeer-review

    92 Citations (Scopus)
    36 Downloads (Pure)

    Abstract

    In this paper, the recently introduced model predictive pulse pattern control (MP3C) strategy is adapted to the ACS 2000 medium-voltage (MV) drive of ABB. The drive system consists of a five-level active neutral-point-clamped (ANPC-5L) rectifier, an inverter, and an induction machine (IM). The inverter is fed with offline-computed optimized pulse patterns (OPPs) that produce minimum harmonic distortion in the stator windings of the ac machine. An optimal stator flux trajectory is calculated from these OPPs, and a trajectory controller tracks it in real time. In the proposed approach, trajectory tracking is based on model predictive control: a constrained optimal control problem is formulated and solved in real time in a computationally efficient manner. An event-based prediction horizon is employed in order to ensure fast tracking of the stator flux trajectory. The advantages of the proposed method are optimal steady-state behavior in terms of harmonic distortion and fast torque response. The method was tested on an MV ANPC-5L inverter coupled to a general-purpose 1.21-MW IM. Experimental results were obtained from this industrial setup, and they are presented in this paper to demonstrate the high performance of MP3C.

    Original languageEnglish
    Pages (from-to)2583-2592
    Number of pages10
    JournalIEEE Transactions on Industry Applications
    Volume49
    Issue number6
    DOIs
    Publication statusPublished - Nov 2013
    Publication typeA1 Journal article-refereed

    Keywords

    • AC drive
    • five-level active neutral-point inverter
    • medium-voltage (MV) drive
    • model predictive control (MPC)
    • optimized pulse pattern (OPP)

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Industrial and Manufacturing Engineering

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