D12.4 - Multi-Stage Model Predictive Control with Enhanced Discrete-Time Models for Multilevel Inverters

Thursday, March 20, 2025

11:30 AM - 1:30 PM ET

Location: Level One, Hall A3

Technical Dialogue Presenter(s)

Apparao Dekka

Lakehead University

Co-Author(s)

Hoang Le (he/him/his)

Lakehead University
Deepak Ronanki, PhD (he/him/his)

Indian Institute of Technology Madras
AB

Abdul Beig

Khalifa University

Model accuracy, computational complexity, and weighting factor dependency are three primary challenges associated with model predictive control (MPC) in controlling multilevel inverters (MLIs). This paper proposes an enhanced discrete-time model of MLI by using Heun's integration method, resulting in a more precise formulation and indirect minimization of CMV. Unlike the existing methods, this method does not employ a cost function with weighting factor or offline selection of voltage vectors (VVs) to minimize common-mode voltage (CMV). This approach allows per-phase control philosophy, and it can be easily to extended to higher-level of MLIs without significant modifications. Experimental studies are conducted on a four-level MLI system to validate the efficacy of the proposed MPC, and its performance is compared with the existing MPC methods.