Reduced order model predictive control with disturbance attenuation

Takahashi, Masaaki; Hara, Naoyuki; Kokame, Hideki; Konishi, Keiji

doi:10.1002/tee.20613

Cited by 1 publication

(1 citation statement)

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“…Finite control set model predictive control (FCS-MPC) can consider the system constraints and nonlinear characteristics in the control process. Although the carrier modulated PWM has been used, the MPC strategy gets attention widely because it does not have the complex proportional integral controller requirements [2,3]. In addition, FCS-MPC has the advantage of fast dynamic response, excellent steady-state performance, and straightforward implementation [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

Xie

et al. 2022

IEEJ Transactions Elec Engng

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Virtual vector is applied in neutral-point-clamped (NPC) three-level converter finite control set model predictive control (FCS-MPC) strategy due to its good performance of less current ripples and high power efficiency. However, in the process of adding virtual vectors, some redundant virtual vectors will be selected. Excessive virtual vector will increase the computational burden and affect grid-tied current performance. A virtual vector optimal selection strategy for model predictive control to determine the vectors is proposed. The strategy calculates the fluctuation of grid-tied current through theoretical analysis. Based on the analysis of amplitude fluctuation of grid-tied current, the graphics of coverage angle visualization can be obtained under different virtual vector. The angle of the required virtual vectors is obtained through the graphics of coverage angle visualization. The number of virtual vector can be determined when the error current angle range covers the entire vector graph. The proposed control strategy was compared with the conventional control strategies, including excessive virtual vectors or with no any virtual vector. Experimental results show that the proposed control strategy can significantly reduce THD, grid-tied current error and computational burden.

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Section: Introductionmentioning

confidence: 99%

Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

Xie

et al. 2022

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

Reduced order model predictive control with disturbance attenuation

Cited by 1 publication

References 1 publication

Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

Virtual Vector Optimal Selection Strategy for NPC Three‐Level Grid‐Tied Converter with Finite Control Set Model Predictive Control

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