Mattia Marinelli

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This paper describes an automated control system design strategy for power electronics and drives. The design method employs a genetic algorithm (GA) based optimization routine that can be implemented off-line and on-line. A suitable user definable fitness function assesses the performance of several control parameters, and selects which values will evolve(More)
—The paper proposes the modeling and the optimal management of a hot-temperature (sodium nickel chloride) battery system coupled with wind generators connected to a medium voltage grid. A discrete-time model of the storage device reproducing the battery main dynamics (i.e., state of charge, temperature, current, protection, and limitation systems) has been(More)
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One of the main issues when designing a control strategy for a power electronic system is the development of a reliable model of the real system. It ensures that a simulation presents the same behavior as the real system, providing a useful instrument for control design. Consequently, the designer would avoid wasting time manually adjusting parameters of(More)
This paper describes the application of stochastic grey-box modeling to identify electrical power consumption-to-temperature models of a domestic freezer using experimental measurements. The models are formulated using stochastic differential equations (SDEs), estimated by maximum likelihood estimation (MLE), validated through the model residuals analysis(More)
This paper presents the definition of a new weighted power quality index to be used to coherently evaluate the level of harmonic distortion in electrical systems and quantify the share of responsibility between loads and mains. Simulation and experimental tests carried out under different load conditions, show the proposed performance index gives correct(More)
A personal dosimeter prototype, for static magnetic fields with three Hall probes, has been designed and built to provide a reliable instrument for long-term analysis. The probe output signals, proportional to the magnetic flux density components of the vector B, are filtered, sampled, and stored in a buffer memory sufficient to cover a whole worker shift.(More)