Receding-horizon model predictive control for a three-phase VSI with an LCL filter
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
This paper presents a Continuous Control Set Model Predictive Control with receding horizon for a threephase voltage source inverter with LCL filter, using a reduced model of the converter. The main advantages of using this reduced model is that an active damping can be achieved while the computational burden is reduced. Besides, in order to eliminate the model uncertainties, and also to achieve a zero steady state error, the proposed converter model includes an embedded integrator. Regarding the control scheme, a Kalman filter is used in order to estimate the three-phase currents without oscillation. The objective is to find the control signals vector that minimizes the error between the current and its reference. It is important to remark that the control signals obtained fromthe cost function can be used directly in a space vector modulator, without the use of additional controllers such as proportionalintegral or proportional-resonant. Compared with the Finite Control Set Model Predictive Control, the proposedmethod operates at fixed switching frequency without using any restriction in the cost function. Simulation and experimental results show that this proposalworks correctly even in case of grid harmonics and voltage sags.
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CitationGuzman, R., Garcia de Vicuña, J., Camacho, A., Miret, J., Rey, J. Receding-horizon model predictive control for a three-phase VSI with an LCL filter. "IEEE transactions on industrial electronics", 20 Novembre 2018, vol. 66, núm. 9, p. 6671-6680.
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