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Experimental Assessment of Sliding Mode Current Control with Exponential Reaching Law for an Induction Machine Drive Fed by a Matrix Converter (2021)
Conference Proceeding

Matrix Converters (MCs) are considered an exciting option in electrical motor drives for applications where size and weight are critical, for example aerospace or automotive. Several control techniques have been proposed to exploit the MC's benefits... Read More about Experimental Assessment of Sliding Mode Current Control with Exponential Reaching Law for an Induction Machine Drive Fed by a Matrix Converter.

Critical scenarios identification in power system simulations using graph measures and machine learning (2021)
Conference Proceeding

It is essential that electrical power systems are constructed with a reliable and resilient infrastructure. The evaluation of convergence scenarios of the load flow is a technique widely used to study the reliability of energy systems. This paper con... Read More about Critical scenarios identification in power system simulations using graph measures and machine learning.

Fault Tolerant Predictive Control for Six-Phase Wind Generation Systems using Multi-Modular Matrix Converter (2021)
Conference Proceeding

Multi-phase wind generation systems are emerging as a promising technology for distributed generation systems. These systems can present unbalanced voltages or phase faults for several reasons. In this paper a modular three-phase direct matrix conver... Read More about Fault Tolerant Predictive Control for Six-Phase Wind Generation Systems using Multi-Modular Matrix Converter.