Control Strategy of Microgrid Inverter Based on H∞ State Feedback Repeated Deadbeat Control | Zendy

Ren Xie | Zendy; Yougui Guo | Zendy; YongHong Lan | Zendy

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Control Strategy of Microgrid Inverter Based on H∞ State Feedback Repeated Deadbeat Control

Author(s) -

Ren Xie,

Yougui Guo,

YongHong Lan

Publication year - 2021

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2021/8324926

Subject(s) - control theory (sociology) , microgrid , linear matrix inequality , total harmonic distortion , controller (irrigation) , convex optimization , repetitive control , nonlinear system , control (management) , distortion (music) , convergence (economics) , inverter , voltage , engineering , computer science , control system , regular polygon , mathematics , mathematical optimization , electronic engineering , geometry , quantum mechanics , agronomy , cmos , artificial intelligence , amplifier , biology , physics , electrical engineering , economic growth , economics

Aiming at the voltage distortion at the microgrid public connection point caused by nonlinear loads, a H∞ state feedback deadbeat repetitive control strategy is proposed to rectify the total harmonic distortion of the output voltage. Firstly, through establishing the state space of the repetitive controller, introducing state feedback, combining the H∞ control theory, and reformulating the system stability problem as a convex optimization problem with a set of linear matrix inequality (LMI) constraints to be solved, high stability control accuracy can be guaranteed and antiharmonic interference strengthened. Secondly, by introducing deadbeat control technology to improve the transient response speed of the system, changes in output voltage caused by load changes can be quickly compensated. Compared with the existing methods, the designed control method has the advantages of good stability, low harmonic content, and fast convergence speed, and the results are easier to verify. Finally, the simulation verifies the effectiveness of the proposed control strategy.

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