Abstract
Model predictive control has become a promising control technology in power converter, because of the good dynamic response and accurate current tracking capability. This study mainly analyzes and verifies the Model Predictive Current control (MPC) of a three-phase voltage sources converter. The MPC controller predicts the behavior of the converter for each possible voltage vector on each sampling interval. And a cost function is used to evaluate the voltage vector for the next sampling interval based the predicted load behavior. According to the assessment, an optimal voltage vector is selected and the corresponding switching state is applied to the converter during the next sampling interval. Finally, simulation and experimental results are demonstrated to validate the steady-state and dynamic performance of the proposed system.
Highlights
Model Predictive Current control (MPC) has been paid more attention for power converter and AC drive because of its simplicity, good dynamic performance, strong current tracking ability, less sensitivity to the system model in Jos et al (2007), Cortes et al (2008) and Kouro et al (2009)
A simplified predictive current control technique is applied to a voltage source inverter with MPC controller considering the optimal method of selecting the voltage vector
For the seven basic voltage vectors we obtain seven possible values of change in output current: Configuration of MPC: The MPC controller predicts the behavior of the converter for finite possible voltage vector on each sampling interval (Kouro et al, 2009)
Summary
Model Predictive Current control (MPC) has been paid more attention for power converter and AC drive because of its simplicity, good dynamic performance, strong current tracking ability, less sensitivity to the system model in Jos et al (2007), Cortes et al (2008) and Kouro et al (2009). MPC has been used to control a voltage source inverter (Jos et al, 2007) electric drives (Cortes et al, 2008). It is employed in three-level NPC inverter (Vargas et al, 2007), an asymmetric cascaded H-bridge inverters in Perez et al (2008) and a 3-phase cascaded H-bridge inverter in Cortés et al (2010). A method of variable sampling time finite control for MPC is employed in a grid-connected inverter (Hoffmann et al, 2012). A fast-predictive controller is proposed for neutral-point-clamped multilevel converter (Barros et al, 2013)
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More From: Research Journal of Applied Sciences, Engineering and Technology
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