David A. Cartes

Area of research

Control and Systems Engineering · Electrical and Electronic Engineering

Research interest

Research topics from publications: Application of Artificial Intelligence to Real-Time Fault Detection in Permanent-Magnet Synchronous Machines; Application of artificial intelligence to stator winding fault diagnosis in Permanent Magnet Synchronous Machines; Intelligent power management in micro grids with EV penetration; Modeling and detecting the stator winding fault of permanent magnet synchronous motors; Application of generalized predictive control for charging super capacitors in microgrid power systems under input constraints; Application of distubance metrics for reducing impacts of energy storage charging in an MVDC based IPS; Mitigating voltage sags due to DOL starting of three phase asynchronous motors using dynamic voltage restorer (DVR); Quantification of complexity of power electronics based systems; Municipal-owned utilities and demand side management; Multi-agent testbed for emerging power systems. Representative work: This paper discusses faults in rotating electrical machines in general and describes a fault detection technique using artificial neural network (ANN) which is an expert system to detect short-circuit fault currents in the stator windings of a permanent-magnet synchronous machine (PMSM). The experimental setup consists of PMSM coupled mechanically to a dc motor configured to run in torque mode. Particle swarm optimization is used to adjust the weights of the ANN. All simulations are carried out in MATLAB/SIMULINK environment. The technique is shown to be effective and can be applied to real-time fault detection Microgrid power systems strike a balance between maintaining system stability and insuring a high utilization efficiency of pulsed power loads. In microgrids, pulsed power loads' high power-consumption challenges the generators' low generation capacity. Super capacitors were proposed to replace the generators for powering pulsed power loads. Charging super capacitor is expected to be complete rapidly without affecting the system stability. This paper takes input constraints into account for computing optimal control reference signal. This paper also applies generalized predictive control algorithm to realize robust closed-loop control in a complex microgrid power system, where precise model

Looking for a research collaborator?

Search millions of scientists by field, institution, impact, and funding status — see their work, find their email, and reach out directly.