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In this paper a Power Factor Control (PFC) for an AC-DC boost converter operating in light load condition has been presented. A Passivity-Based current control able to operate in either Continuous Conduction Mode (CCM) and in Discontinuous Conduction Mode (DCM) has been implemented. A voltage PI-based control with input feedforward has been implemented in order to increase Power Factor (PF) and regulate...
In this paper a Model Predictive Control (MPC) for buck synchronous DC-DC converter has been designed. The proposed solution considers an off-line explicit MPC formulation resulting in a PieceWise Affine (PWA) controller structure. A model based observer for inductor current has been taken into account to overcome the several problems related to sensors in high current ripple DC converters. Reported...
In this paper a current sensorless solution for Power Factor Control (PFC) of an AC-DC boost converter operating in light load condition has been presented. A PI-based control with input voltage feedforward has been implemented in order to increase Power Factor (PF). A current observer, able to operate in either Continuous Conduction Mode (CCM) and in Discontinuous Conduction Mode (DCM), has been...
In this paper current sensorless solutions for AC-DC boost converter Power Factor Control (PFC) have been presented. A Passivity-Based Control (PBC) and a Sliding Mode Control (SMC) with input voltage feedforward have been implemented to increase Power Factor (PF) and their performance has been compared. A robust current observer has been adopted in order to eliminate the need for expensive current...
In this paper a system for PMSM control with Power Factor Correction (PFC) has been designed. A robust sensorless cascade speed control scheme for a Permanent Magnet Synchronous Motor (PMSM) drive has been proposed. A Discrete Time Sliding Mode Control (DTSMC) and a Sliding Mode Observer (SMO) have been considered. An averaged current control with input voltage feedforward has been implemented for...
The paper deals with a neural network based supervisor control system for a PhotoVoltaic (PV) plant. The aim of the work is to feed the power line with the 24 hours ahead forecast of the PV production. An on-line self-learning prediction algorithm is used to forecast the power production of the PV plant. The learning algorithm is based on a Radial Basis Function (RBF) network and combines the growing...
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