Nonlinear Model Predictive Control of Permanent Magnet Synchronous Generators in DC Microgrids

TL;DR

This paper introduces a nonlinear model predictive control strategy for interior permanent magnet generators in DC microgrids, enhancing voltage regulation and loss minimization through a decomposition-based approach.

Contribution

It presents a novel NMPC-based control scheme for PM generators in DC microgrids, utilizing singular perturbation theory for system decomposition.

Findings

Effective voltage regulation demonstrated in simulations

Loss minimization achieved on the AC side

Control strategy applicable to aircraft power systems

Abstract

A new strategy is proposed to control interior permanent magnet generators in dc microgrids interfaced through an active rectifier. The controller design is based on the decomposition of the system dynamics into slow and fast modes using singular perturbation theory. An inner current controller is developed based on output regulation techniques and an outer voltage controller is proposed using Nonlinear Model Predictive Control (NMPC). The NMPC regulates the dc bus voltage and minimizes the ac side losses. Simulation results are then presented based on realistic conditions for aircraft power systems.