Simplified Linear Kalman Filter for Sensorless Oriented Control of PWM Rectifiers

This paper assesses the efficacy of a simplified Discrete-Time Linear Kalman Filter in estimating the grid voltages applied to a PWM Rectifier, thereby achieving sensorless Voltage-Oriented Control. Utilizing a typical dynamic system formulation, a different model is developed to reduce the number of state variables, thus minimizing the complexity and computational burden of the filter. The converter control ensures the power factor corrector functional mode through the phase angle of the grid derived from the estimated voltages. The proposed control method guarantees optimal converter performance while minimizing the required transducers, reducing costs, and enhancing reliability. Furthermore, its real-time-suitable algorithm enhances practical applicability. The effectiveness of the proposed solution is confirmed through MATLAB/Simulink simulations.