Sensorless Predictive Control of AFE Rectifier With Robust Adaptive Inductance Estimation

The model predictive control is increasingly used as a high performance control strategy in converters and drives. This paper presents a new sensorless predictive power control method for the active front end rectifiers. Sensorless application of predictive control method faces more challenge compared to conventional control methods because the accurate prediction is dependent on the accurate voltage estimation. The model based estimation method is used in the predictive control technique in this research. This technique creates two problems, i.e., the derivatives of the currents, and the need for accurate values of the parameters of the model. The first problem is diminished by using the proposed filters. On the other hand, the inductance is estimated based on the model reference adaptive system observers to improve the accuracy of the line voltages estimation, although the proposed sensorless control is stable even without the inductance estimation. For a robust parameter estimation, a new adaptive function is achieved via Lyapunov technique. Simulation and experimental results verify the performances of the proposed methods.