Sensorless Model Predictive Control of Single-Phase Inverter for UPS Applications via Accurate Load Current...

Area of Science:

• Electrical Engineering
• Power Electronics
• Control Systems

Background:

• Single-phase inverters with LC filters are crucial for uninterruptible power supply (UPS) systems, demanding high reliability and clean output.
• Sensorless control methods reduce system costs and enhance reliability by eliminating physical sensors.

Purpose of the Study:

• To propose a load current sensorless finite control set model predictive control (FCS-MPC) scheme for single-phase UPS inverters.
• To improve the accuracy of load current estimation and reduce output voltage distortion in sensorless UPS systems.

Main Methods:

• Development of a time-varying observer for simultaneous estimation of individual load current components.
• Implementation of a sensorless FCS-MPC strategy for a single-phase UPS inverter.
• Validation through simulations and experiments on a rapid control prototype (RCP).

Main Results:

• The proposed observer-based FCS-MPC strategy achieves accurate load current estimation.
• Demonstrated reduction in output voltage distortion compared to low-pass filter and Kalman filter methods.
• Effective performance under both linear and nonlinear load conditions.

Conclusions:

• The sensorless FCS-MPC scheme offers a reliable and cost-effective solution for single-phase UPS inverters.
• The proposed observer provides superior performance in load current estimation and voltage regulation.
• Experimental validation confirms the practical applicability and effectiveness of the developed control strategy.