Model Predictive Torque Control based on Virtual Vectors for Six-Phase Induction Machines

Gonzalez, Osvaldo; Doval-Gandoy, Jesus; Ayala, Magno; Maidana, Paola; Medina, Christian; Rodas, Jorge; Romero, Carlos; Delorme, Larizza; Maciel, Ricardo; Gregor, Raul

doi:10.1109/itec60657.2024.10599075

Cited by 3 publications

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Model predictive control for energy efficient AC motor drives: An overview

Shahid,

Jin,

Abbasi

et al. 2024

IET Electric Power Appl

View full text Add to dashboard Cite

State‐of‐the‐art model‐based predictive control techniques for AC motor drives are reviewed in this paper. A plethora of MPC algorithms with vast number of complex ideas has emerged in the last decade and this work makes an attempt to present those concepts in an intuitive, comprehensive and hierarchical manner. More emphasis is laid on finite control set model predictive control (FCS‐MPC) methods, especially predictive torque control (PTC) and predictive current control (PCC) because of their emergence as the prime focus of ongoing research in energy efficient drive control. The main focus of this review is to analyse the most recent work, signpost the future research directions, identify the core challenges and consolidate the ideas into a coherent and concise reference. A comprehensive classification based on actuation signals is presented and reviewed in detail. Then, the important challenges in MPC implementation, such as computational complexity reduction and delay compensation, weighting factor selection for multi‐objective cost functions, steady state performance and ripple reduction, parameter variations/model mismatching and achieving extended prediction horizons, are surveyed and most relevant solutions are reviewed. A detailed analysis of the last five years related work is given at the end and it is concluded that the future course seems to be diverting towards voltage vector selection with optimised phase, magnitude and duty ratios. Computational burden is still one of the main hurdle towards MPC proliferation and adaptation in AC drive control at the industrial level. However, with advent of high speed and cheaper signal processors and development of efficient algorithms, MPC is rapidly becoming the control method of choice for energy‐efficient drive control.

show abstract

Model predictive control for energy efficient AC motor drives: An overview

Shahid,

Jin,

Abbasi

et al. 2024

IET Electric Power Appl

View full text Add to dashboard Cite

show abstract

Sequential Model Predictive Torque Control with Virtual Vectors Applied to Six-Phase Induction Machine

Maidana,

Medina,

Gonzalez

et al. 2024

2024 IEEE Transportation Electrification Conference and Expo (ITEC)

View full text Add to dashboard Cite

Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario

Caballero,

Toledo,

Maqueda

et al. 2024

Technologies

View full text Add to dashboard Cite

This paper presents a model predictive control (MPC) strategy to regulate output voltages in a multi-modular matrix converter topology for isolated loads. The converter system harnesses power from a six-phase permanent magnet synchronous generator (PMSG) to deliver sinusoidal voltages to a three-phase load, with LC filters positioned at the output of each MC module within the multi-modular scheme. The proposed MPC approach ensures that the output voltages remain within acceptable ranges of magnitude, phase, and frequency, even under load variations and system faults. This control strategy is particularly suitable for uninterruptible power supply systems, microgrids or other applications where voltage regulation is critical. Experimental studies validate the effectiveness of the control strategy under various load conditions, reference voltage changes, and simulated system fault scenarios. The results highlight the robustness and reliability of the proposed voltage control using the multi-modular matrix converter.

show abstract

Model Predictive Torque Control based on Virtual Vectors for Six-Phase Induction Machines

Cited by 3 publications

References 21 publications

Model predictive control for energy efficient AC motor drives: An overview

Model predictive control for energy efficient AC motor drives: An overview

Sequential Model Predictive Torque Control with Virtual Vectors Applied to Six-Phase Induction Machine

Predictive Voltage Control in Multi-Modular Matrix Converters under Load Variation and Fault Scenario

Contact Info

Product

Resources

About