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Nonlinear robust‐optimal control of boost converter in photovoltaic applications
Author(s) -
Amirparast Ali,
GholizadeNarm Hossein
Publication year - 2020
Publication title -
advanced control for applications: engineering and industrial systems
Language(s) - English
Resource type - Journals
ISSN - 2578-0727
DOI - 10.1002/adc2.53
Subject(s) - control theory (sociology) , converters , pid controller , renewable energy , controller (irrigation) , linear quadratic regulator , robust control , photovoltaic system , parametric statistics , optimal control , control engineering , engineering , computer science , control system , voltage , control (management) , mathematics , mathematical optimization , electrical engineering , temperature control , artificial intelligence , agronomy , statistics , biology
The negative aspects of overusing fossil fuels for producing electricity attract the attention of engineers society to use renewable energies. Power electronic converters play an important role in the transmission and usage of renewable energy in the industry. Boost converters are a major part of devices in which convert renewable energies into usable energy for various industries or appliances. In this article, to control a boost converter with parametric uncertainty, a new robust‐optimal controller is designed. The proposed control method is designed based on merging two conventional control theory: the robust control theory and linear quadratic regulator technique. This method consists of two nested loops. The inner loop composed of a state feedback controller which works as active damping to improve the transient state. The outer loop consists of a PI controller to track the desired voltage and reject disturbance. The coefficients of both controllers are computed by a robust‐optimal control technique. To evaluate the proposed control method, a well‐tuned single‐loop PI controller and a quantitative feedback theory based PID controller are compared with the proposed method. As shown by simulations, the proposed method has a more reliable performance in dealing with parameters uncertainties such as load changes and input voltage drops.