Study of Model Predictive Control of PWM Voltage Source Converterwithout AC Electromotive Force Sensor

doi:10.16182/j.issn1004731x.joss.201707013

Abstract

Abstract: The traditional model-predictive-control (MPC), applied to three-phase converter, requires to use AC electromotive force sensor, and then it reduces the system reliability. A three-phase converter model predictive control without AC electromotive force sensor was proposed, and the virtual flux observer was constructed by DC bus voltage, switching signal and AC current. On this basis, a mathematical model of three-phase converter model predictive control quadratic programming (QP-MPC) based on virtual flux oriented was established. Using quadratic programming algorithm, the system can quickly calculate the optimal change, minimize the objective function, and obtain the optimal switch control signal, so as to optimize the system performance. The simulation results verify the feasibility and effectiveness of the proposed control strategy.

Key words: converter, quadratic programming, model predictive control, Luenberger observe

CLC Number:

TM862

Li Hui, Li Zhi, Zhang Jin, Peng Hanmei. Study of Model Predictive Control of PWM Voltage Source Converterwithout AC Electromotive Force Sensor[J]. Journal of System Simulation, 2017, 29(7): 1489-1496.

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