Fuzzy Sliding Mode Control for Photovoltaic System

2016 ◽  
Vol 7 (3) ◽  
pp. 964
Author(s):  
Mounir Derri ◽  
Mostafa Bouzi ◽  
Ismail Lagrat ◽  
Youssef Baba
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Power Point

In this study, a fuzzy sliding mode control (FSMC) based maximum power point tracking strategy has been applied for photovoltaic (PV) system. The key idea of the proposed technique is to combine the performances of the fuzzy logic and the sliding mode control in order to improve the generated power for a given set of climatic conditions. Different from traditional sliding mode control, the developed FSMC integrates two parts. The first part uses a fuzzy logic controller with two inputs and 25 rules as an equivalent controller while the second part is designed for an online adjusting of the switching controller’s gain using a fuzzy tuner with one input and one output. Simulation results showed the effectiveness of the proposed approach achieving maximum power point. The fuzzy sliding mode (FSM) controller takes less time to track the maximum power point, reduced the oscillation around the operating point and also removed the chattering phenomena that could lead to decrease the efficiency of the photovoltaic system.

scholarly journals Maximum power point tracker of a photovoltaic system using sliding mode control

2009 ◽  
Vol 1 (07) ◽  
pp. 527-530 ◽  
Author(s):  
M.I. Arteaga Orozco ◽  
J.R. Vázquez ◽  
P. Salmerón ◽  
S.P. Litrán ◽  
F.J. Alcántara
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Mode Control ◽  
Power Point

Maximum Power Point Tracking for a Grid Connected Photovoltaic System using Sliding Mode Control

2017 ◽  
Vol 8 (4) ◽  
pp. 1785
Author(s):  
Sattianadan D ◽  
Roopam Jha ◽  
Deepak Kumar Nayak
Keyword(s):  
Sliding Mode Control ◽  
High Frequency ◽  
Sliding Mode ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Sliding Mode Controller ◽  
Maximum Power Point ◽  
Flyback Converter ◽  
Mode Control ◽  
Power Point

This paper presents a method to track the maximum power point for an isolated grid connected photovoltaic system. The method used to achieve this goal is sliding mode control. A high frequency flyback converter topology working in continuous conduction mode is used to boost the voltage and also provides galvanic isolation between input and output side. An inverter is used to invert the power for a grid connected operation. Therefore, the primary objective of this study is to design a sliding mode controller which can track maximum power driving a high frequency flyback converter and demonstrate its practicality as a higly efficient maximum power point tracker. This system is modelled and tested in MATLAB SIMULINK. To verify the results a practical implementation of sliding mode controller with high frequency flyback transformer is performed in a hardware setup

Fuzzy Sliding-Mode Control of a Variable Geometry Manipulator: Experimental Investigation

2000 ◽  
Author(s):  
J. Choi ◽  
C. W. de Silva ◽  
V. J. Modi ◽  
A. K. Misra
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Tracking Error ◽  
Experimental Studies ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Knowledge Based ◽  
Fuzzy Sliding Mode

Abstract This paper focuses a robust and knowledge-based control approach for multi-link robot manipulator systems. Based on the concepts of sliding-mode control and fuzzy logic control (FLC), a fuzzy sliding-mode controller has been developed in previous work. This controller possesses good robustness properties of sliding-mode control and the flexibility and ‘intelligent’ capabilities of knowledge-based control through the use of fuzzy logic. This paper presents experimental studies with fuzzy sliding-mode control as well as conventional sliding-mode control. The results show that the tracking error is guaranteed to converge to a specification in the presence of uncertainties. The performance of the fuzzy sliding-mode controller is found to be somewhat better than that of the conventional sliding-mode controller.

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