scholarly journals Robust Back-stepping Based Higher Order Sliding Mode Control of Non-Inverted Buck-Boost Converter for a Photovoltaic System

2021 ◽  
Vol 6 (1) ◽  
pp. 113-127
Author(s):  
Shaukat Ullah
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Meteorological Condition ◽  
Boost Converter ◽  
Higher Order ◽  
Maximum Power ◽  
Experimental Result ◽  
Pv System ◽  
Fast Tracking ◽  
Mode Control

Abstract Photovoltaic (PV) system generates renewable energy from sunlight, which has low efficiency due to the variance in nature of temperature and irradiance in a fast changing environment condition. Different researchers have proposed different maximum power point tracking MPPT techniques to improve the efficiency. However, still there are many open issues. Thus, to address this, a non-linear back-stepping–based higher order sliding mode controller (BHOSMC) is proposed to harvest maximum power from PV system. The PV module and load is interfaced by a non-inverted buck-boost converter (NIBBC). A linear interpolation method is used for voltage generation and Lyapunov stability is used to verify the control system equation. MATLAB/Simulink software is used for testing the proposed controller performance. The experimental result verified that the proposed BHOSMC is robust, accurate and fast tracking, faultless and less chattering as compared to perturb and observe (P&O), back-stepping control (BSC) and back-stepping-based sliding mode control under rapidly varying meteorological condition.

scholarly journals Improved strategy of an MPPT based on the sliding mode control for a PV system

2020 ◽  
Vol 10 (3) ◽  
pp. 3074
Author(s):  
Taouni Abderrahim ◽  
Touati Abdelwahed ◽  
Majdoul Radouane
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Climatic Conditions ◽  
Buck Converter ◽  
Maximum Power ◽  
Weather Factors ◽  
Pv System ◽  
Maximum Power Point ◽  
Mode Control ◽  
Power Point

The energy produced using a photovoltaic (PV) is mainly dependent on weather factors such as temperature and solar radiation. Given the high cost and low yield of a PV system, it must operate at maximum power point (MPP), which varies according to changes in load and weather conditions. This contribution presents an improved maximum power point tracking (MPPT) controllers of a PV system in various climatic conditions. The first is a sliding mode MPPT that designed to be applied to a buck converter in order to achieve an optimal PV array output voltage. The second MPPT is based on the incremental conductance algorithm or Perturb-and-Observe algorithm. It provides the output reference PV voltage to the sliding mode controller acting on the duty cycle of the DC-DC converter. Simulation is carried out in SimPower toolbox of Matlab/Simulink. Simulation results confirm the effectiveness of the sliding mode control MPPT under the parameter variation environments and shown that the controllers meet its objectives.

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