Design and Implementation of a Four Switch Buck-Boost Converter for Off-Grid PV Applications

Robles-Algarín, Carlos; Hernández, Deimer Sevilla; Viloria-Porto, Julie

doi:10.15866/irecon.v8i6.19572

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DC-DC converters are normally used to change the current and voltage level provided by photo voltaic modules that is required by electrical loads [34][35][36]. The non-inverted DC-DC buck-boost topology of converter [37,38] increase/decrease the output voltage of the PV system in order to get the maximum power point voltage V mpp .…”

Section: Modeling Of Non-inverted Dc-dc Buck-boost Topology Of Convertermentioning

confidence: 99%

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

et al. 2022

View full text Add to dashboard Cite

In this work, a photovoltaic (PV) system integrated with a non-inverting DC-DC buck-boost converter to extract maximum power under varying environmental conditions such as irradiance and temperature is considered. In order to extract maximum power (via maximum power transfer theorem), a robust nonlinear arbitrary order sliding mode-based control is designed for tracking the desired reference, which is generated via feed forward neural networks (FFNN). The proposed control law utilizes some states of the system, which are estimated via the use of a high gain differentiator and a famous flatness property of nonlinear systems. This synthetic control strategy is named neuro-adaptive arbitrary order sliding mode control (NAAOSMC). The overall closed-loop stability is discussed in detail and simulations are carried out in Simulink environment of MATLAB to endorse effectiveness of the developed synthetic control strategy. Finally, comparison of the developed controller with the backstepping controller is done, which ensures the performance in terms of maximum power extraction, steady-state error and more robustness against sudden variations in atmospheric conditions.

show abstract

Section: Modeling Of Non-inverted Dc-dc Buck-boost Topology Of Convertermentioning

confidence: 99%

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

et al. 2022

View full text Add to dashboard Cite

show abstract

Bifurcation and stability analysis of a Dual-Active-Bridge dc-dc converter working under non-linear control

Franzese

Meo

Toscano

2022

2022 IEEE 7th Forum on Research and Technologies for Society and Industry Innovation (RTSI)

View full text Add to dashboard Cite

Design and Implementation of a Four Switch Buck-Boost Converter for Off-Grid PV Applications

Cited by 2 publications

References 0 publications

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

Maximum Power Extraction from a Standalone Photo Voltaic System via Neuro-Adaptive Arbitrary Order Sliding Mode Control Strategy with High Gain Differentiation

Bifurcation and stability analysis of a Dual-Active-Bridge dc-dc converter working under non-linear control

Contact Info

Product

Resources

About