A robust polynomial output feedback control for a PV system subject to actuator saturation nonlinearity - Université d'Évry Access content directly
Journal Articles Electrical Engineering Year : 2024

A robust polynomial output feedback control for a PV system subject to actuator saturation nonlinearity

Noureddine Boubekri
Sofiane Doudou
  • Function : Author
Dounia Saifia
  • Function : Author

Abstract

This paper presents a novel maximum power point tracking control for a stand-alone photovoltaic (PV) system based on a robust polynomial static output feedback control law subject to input saturation. In detail, a DC/DC boost converter is used to regulate the load and extract the maximum power from the photovoltaic panel. First, a polynomial fuzzy model is used to represent the photovoltaic system. Then, as this control method is based on a reference model, a regression plane is used to generate the desired trajectory representing the optimal dynamics where the PV system supplies maximum power. Then, in order to reduce the number of required sensors, a polynomial output feedback controller was developed, in which the problem of converter performance degradation resulting from duty cycle saturation was avoided by using a saturated control approach. The controller gains have been obtained by solving a sum-of-squares optimization problem, where the H∞ performance criterion is applied to guarantee the stability of the closed-loop system while achieving an optimal rejection level of external disturbances. To evaluate the performance of the suggested controller, a number of simulations and comparisons were carried out in MATLAB/Simulink environment and under various scenarios of weather conditions.
No file

Dates and versions

hal-04396192 , version 1 (15-01-2024)

Identifiers

Cite

Noureddine Boubekri, Sofiane Doudou, Dounia Saifia, Mohammed Chadli. A robust polynomial output feedback control for a PV system subject to actuator saturation nonlinearity. Electrical Engineering, In press, ⟨10.1007/s00202-023-02173-y⟩. ⟨hal-04396192⟩
26 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More