Robust model predictive current control strategy for three-phase voltage source PWM rectifiers

ABSTRACT

Traditional model predictive control (MPC) strategy is highly dependent on the model and has poor robustness. To solve the problems, this paper proposes a robust model predictive current control strategy based on a disturbance observer. According to the current predictive model of three-phase voltage source PWM rectifiers (VSR), voltage vectors were selected by minimizing current errors in a fixed time interval. The operating procedure of the MPC scheme and the cause of errors were analysed when errors existed in the model. A disturbance observer was employed to eliminate the disturbance generated by model parameters mismatch via feed-forward compensation, which strengthened the robustness of the control system. To solve the problem caused by filter delay in MPC control, an improved compensation algorithm for the observer was presented. Simulation and experimental results indicate that the proposed robust model predictive current control scheme presents a better dynamic response and has stronger robustness compared with the traditional MPC.

KEYWORDS:

• Voltage source PWM rectifier (VSR)
• model predictive control (MPC)
• disturbance observer
• parameter mismatch
• robustness

Acknowledgement

This work was supported by the National Natural Science Foundation of China under Grant 51207104; Key Scientific and Technological Project of Henan Province of China under Grant 152102210084; Science Foundation for Young Scholars of Henan Normal University under Grant 2014QK12.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China [grant number 51207104]; Science Foundation for Young Scholars of Henan Normal University [grant number 2014QK12]; Key Scientific and Technological Project of Henan Province of China [grant number 152102210084].