Browsing by Author "Mora, Andrés"

Now showing 1 - 2 of 2
  • No Thumbnail Available
    Item
    Long-Horizon MPC Reference Generator for Circulating Currents in Modular Multilevel Converter-Based Variable-Speed Drives
    (Institute of Electrical and Electronics Engineers Inc., 2025) Rivero, Sebastián; Mora, Andrés; Correa, Matías; Pereda Torres, Javier Eduardo
    The article introduces a circulating current reference generator based on a constrained model predictive control (MPC) in modular multilevel converters (M2C) for drive applications. It aims to control the energy in each cluster by generating optimal circulating currents over a long-horizon prediction while considering branch current limits. The optimal control problem is decomposed into smaller subproblems, which allows the utilization of an iterative algorithm based on the alternating direction method of multipliers (ADMM) to efficiently solve the optimization problem. As a result, the ADMM-based reference generator enables a considerably extended prediction horizon, which enhances M2C performance, particularly in balancing and mitigating low-frequency oscillations in capacitor voltages during challenging operating conditions like low-speed and high-torque scenarios. The proposed control is validated by experimental results using an M2C with four cells per cluster driving a 3 kW induction machine.
  • No Thumbnail Available
    Item
    Optimal Switching Sequence MPC of a Three-Port-Converter for Variable-Speed PMSM with Hybrid Energy Storage
    (Institute of Electrical and Electronics Engineers Inc., 2024) Rubio Achondo, Felipe Andrés; Pereda Torres, Javier; Mora, Andrés; Rojas Lobos, Félix Eduardo
    This article presents a model predictive current control strategy utilizing optimal switching sequences for two-level, three-port converters driving an anisotropic permanent magnet synchronous machine (PMSM). These converters are attractive in hybrid energy systems, including fuel cell electric vehicles and hybrid energy storage systems. The proposed control method optimally calculates the switching vectors and duty cycles for both steady-state and transient conditions, including during overmodulation, a scenario that introduces significant optimization challenges. The strategy proposes a simple second stage of control to govern the dc port current, exploiting the redundancy of passive vectors, and eliminating the need for weighting factors to balance the control objectives between the PMSM and the energy storage system, giving absolute priority to the control of the PMSM. Experimental results on a laboratory-scale prototype demonstrate the controller high-dynamic performance in regulating torque, speed, and power transfer across multiple ports, while also maintaining a fixed switching frequency and a well-defined harmonic spectrum.