Open AccessNested control loop design for differential boost inverter using generalized averaged model in photovoltaic applications
Author(s) -
Amirparast Ali,
Gholizadenarm Hossein
Publication year - 2020
Publication title -
energy science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 29
ISSN - 2050-0505
DOI - 10.1002/ese3.718
Subject(s) - control theory (sociology) , photovoltaic system , converters , inverter , voltage , sliding mode control , robustness (evolution) , controller (irrigation) , robust control , duty cycle , linear quadratic regulator , engineering , computer science , control system , nonlinear system , physics , control (management) , agronomy , biochemistry , chemistry , electrical engineering , artificial intelligence , quantum mechanics , biology , gene
To use photovoltaic energy, voltage source inverters are playing an important role. The most of local AC loads such as AC motors need higher voltage than solar panel output voltage. Differential boost inverter produces an AC voltage that is greater than the DC input voltage in a single power stage. This inverter consists of two DC‐DC bilateral boost converters in which work via time‐variant duty cycles to produce sinusoidal voltage, and this feature causes complexity in control design. To deal with this complexity, new modeling so‐called generalized averaged model is used to achieve a linear time‐invariant model. In this paper, a nested control loop is designed. This control strategy consists of two control loops in which the inner loop is designed by linear quadratic regulator theory to displace poles in proper location and the second loop uses a PI‐PR controller to track desired voltage and reject disturbances. To evaluate the proposed control method, the sliding mode controller is applied and compared as well. As shown by simulations, the proposed control strategy has more reliable performance and provides higher robustness in comparison with sliding mode control technique in rigid situations such as dealing with nonlinear load, parameters values changes, and external disturbances.