Modulated Model Predictive Current Control of a Four-Leg Inverter

فاقد چكيده فارسي

Abstract—In this paper, a novel modulated model predictive current control of two-level four-leg voltage source inverter is introduced. The proposed control scheme combines the operating principles of classical model predictive control with the threedimensional space vector modulation to improve the control performance in terms of power quality, while producing fixed switching frequency operation and fast dynamic response for the four-leg inverter. In contrast to the classical model predictive control which applies the switching state corresponding to optimal cost function, the proposed controller uses three active vectors and a zero vector to optimize the proposed cost function. The switching states for the four-leg inverter are then produced by a modulation stage containing nine-segment switching pattern similar to the classical three-dimensional space vector modulation. The proposed control scheme is validated through simulations considering three-phase unbalanced reference currents and loads. The performance of proposed controller is compared with the classical predictive control in terms of average switching frequency, mean load current tracking error and total harmonic distortion.