scholarly journals MPPT Algorithm for Photovoltaic Panel Based on Augmented Takagi-Sugeno Fuzzy Model

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Hafedh Abid ◽  
Ahmed Toumi ◽  
Mohamed Chaabane
Keyword(s):  
Fuzzy Model ◽  
Energy System ◽  
Maximum Power ◽  
Operating Point ◽  
Linear Matrix ◽  
Photovoltaic Panel ◽  
Photovoltaic Energy ◽  
Photovoltaic Array ◽  
Point Tracking ◽  
Takagi Sugeno

This paper deals with the Maximum Power Point Tracking (MPPT) for photovoltaic energy system. It includes photovoltaic array panel, DC/DC converter, and load. The operating point for photovoltaic energy system depends on climatic parameters and load. For each temperature and irradiation pair, there exists only one optimal operating point which corresponds to the maximum power transmitted to the load. The photovoltaic energy system is described by nonlinear equations. It is transformed into an augmented system which is described with a Takagi-Sugeno (T-S) fuzzy model. The proposed MPPT algorithm which permits transfering the maximum power from the panel to the load is based on Parallel Distributed Compensation method (PDC). The control parameters have been computed based on Linear Matrix Inequalities tools (LMI). The Lyapunov approach has been used to prove the stability of the system. Some reliable simulation results are provided to check the efficiency of the proposed algorithm.

A Single Stage Photovoltaic Inverter With Common Power Factor Control and Maximum Power Point Tracking Circuit

2013 ◽  
Vol 136 (2) ◽  
Author(s):  
R. Sridhar ◽  
K. C. Jayasankar ◽  
S. S. Dash ◽  
Varun Avasthy
Keyword(s):  
Direct Current ◽  
Energy System ◽  
Alternating Current ◽  
Single Step ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Power Conditioning ◽  
Photovoltaic Energy ◽  
Photovoltaic Array ◽  
Low Efficiency

This paper presents a unique approach towards the reduction of steps employed in conversion of power produced by a photovoltaic energy system. When a Photovoltaic system feeds an ac load, the power conditioning system of a Photovoltaic energy conversion system consists of a boost converter at the first stage to boost up the direct current (dc) supply, and an inverter to convert this boosted supply to alternating current (ac) at the second stage. But in this conventional system, losses happen at both the stage which makes the whole system to have low efficiency. The proposed approach in this paper has only one stage conversion. In this single step conversion the direct current supply is boosted and converted to alternating current with the help of a single inverter circuit. This process of power conditioning is carried out with respect to the load connected as well to the maximum power with respect to the variant irradiation and temperature condition. The load connected to the system is tested under varying environmental conditions of the photovoltaic system. Nature of output power from the system is studied by varying the irradiation and temperature of the photovoltaic array.

scholarly journals Design and analysis of robust fuzzy logic maximum power point tracking based isolated photovoltaic energy system

2020 ◽  
Vol 2 (9) ◽  
Author(s):  
Rao Muhammad Asif ◽  
Ateeq Ur Rehman ◽  
Saif Ur Rehman ◽  
Jehangir Arshad ◽  
Jamshaid Hamid ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Maximum Power Point Tracking ◽  
Energy System ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Energy ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals MPPT Control for Wind Energy Conversion System Based on a T-S Fuzzy

2018 ◽  
Vol 9 (2) ◽  
pp. 811 ◽  
Author(s):  
Abdennasser Benkada ◽  
H. Chaikhy ◽  
M. Monkade
Keyword(s):  
Control Strategies ◽  
Fuzzy Model ◽  
Synchronous Generator ◽  
Maximum Power ◽  
Linear Matrix ◽  
Modeling And Control ◽  
Point Tracking ◽  
Power Point ◽  
The Stability ◽  
And Control

<span lang="EN-US">In this paper, we focus on the modeling and control of a wind power system based on a Permanent Magnet Synchronous Generator (PMSG). We proposed a technique of control strategies to have the maximum power from wind turbine (WT). This study deals with the problem of Maximum Power Point Tracking (MPPT) based on Takagi Sugeno fuzzy model. The stability analysis is achieved. The gains of the designed controller are calculated by solving Linear Matrix Inequality (LMI). Finally, simulation results are provided to demonstrate the validity and the effectiveness of the proposed method.  </span>

Fuzzy observer–based disturbance rejection control for nonlinear fractional-order systems with time-varying delay

2021 ◽  
pp. 107754632110069
Author(s):  
Parvin Mahmoudabadi ◽  
Mahsan Tavakoli-Kakhki
Keyword(s):  
Fractional Order ◽  
Disturbance Rejection ◽  
State Feedback ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Linear Matrix ◽  
Delayed Systems ◽  
Fuzzy Observer ◽  
Time Varying Delay ◽  
Takagi Sugeno

In this article, a Takagi–Sugeno fuzzy model is applied to deal with the problem of observer-based control design for nonlinear time-delayed systems with fractional-order [Formula: see text]. By applying the Lyapunov–Krasovskii method, a fuzzy observer–based controller is established to stabilize the time-delayed fractional-order Takagi–Sugeno fuzzy model. Also, the problem of disturbance rejection for the addressed systems is studied via the state-feedback method in the form of a parallel distributed compensation approach. Furthermore, sufficient conditions for the existence of state-feedback gains and observer gains are achieved in the terms of linear matrix inequalities. Finally, two numerical examples are simulated for the validation of the presented methods.

scholarly journals Further results on robust fuzzy dynamic systems with LMI D-stability constraints

2014 ◽  
Vol 24 (4) ◽  
pp. 785-794 ◽  
Author(s):  
Wudhichai Assawinchaichote
Keyword(s):  
Dynamic Systems ◽  
Fuzzy Controller ◽  
Sufficient Conditions ◽  
Fuzzy Model ◽  
Local System ◽  
Linear Matrix ◽  
Fuzzy Modelling ◽  
Ts Fuzzy Model ◽  
Input Noise ◽  
Takagi Sugeno

Abstract This paper examines the problem of designing a robust H∞ fuzzy controller with D-stability constraints for a class of nonlinear dynamic systems which is described by a Takagi-Sugeno (TS) fuzzy model. Fuzzy modelling is a multi-model approach in which simple sub-models are combined to determine the global behavior of the system. Based on a linear matrix inequality (LMI) approach, we develop a robust H∞ fuzzy controller that guarantees (i) the L2-gain of the mapping from the exogenous input noise to the regulated output to be less than some prescribed value, and (ii) the closed-loop poles of each local system to be within a specified stability region. Sufficient conditions for the controller are given in terms of LMIs. Finally, to show the effectiveness of the designed approach, an example is provided to illustrate the use of the proposed methodology.

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