An Improved Precise Power Control of Voltage Sensorless-MPC for PWM Rectifiers

In traditional model predictive control (MPC) methods, the power prediction of the state quantity is not only limited by the measurement of the voltage sensor, but also the open-loop control. In order to boost the overall prediction accuracy without AC voltage sensor, an improved sliding mode estimation-model predictive power precision control strategy without AC voltage sensor was proposed. In this paper, the voltage on the network side is dynamically estimated by using sliding mode sigmoid function, and the system stability is proved by the Lyapunov function. On this basis, the active power and reactive power at time k+2 are calculated through the designed rolling optimization prediction link with feedback correction, aiming to reduce power pulse vibration and accurate prediction. The simulation and experimental results show that the proposed control strategy effectively suppresses the influence of grid-side harmonics on the prediction accuracy and improves the overall of the dynamic and static performance of the system.