scholarly journals Model based maximum power point tracking for satellite application

2017 ◽  
Author(s):  
◽  
Jia Min Lew
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Model Based ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

scholarly journals Model-based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

2020 ◽  
Vol 14 (15) ◽  
pp. 2876-2884
Author(s):  
Loredana Cristaldi ◽  
Marco Faifer ◽  
Christian Laurano ◽  
Roberto Ottoboni ◽  
Sergio Toscani ◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Parameters Identification ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Photovoltaic Panels ◽  
Model Based ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point ◽  
And Training

scholarly journals Model-based maximum power point tracking for wind generators

2016 ◽  
Author(s):  
Andrés Julián Saavedra-Montes ◽  
◽  
Carlos Andrés Ramos-Paja ◽  
Carlos Alejandro Ramírez-Gómez ◽  
◽  
...  
Keyword(s):  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Maximum Power Point ◽  
Model Based ◽  
Wind Generators ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

Dynamic Model-Based Fuzzy Controller for Maximum Power Point Tracking of Photovoltaic Systems: A Linear Matrix Inequality Approach

2017 ◽  
Vol 139 (5) ◽  
Author(s):  
Navid Vafamand ◽  
Mohsen Rakhshan
Keyword(s):  
Power System ◽  
Fuzzy Controller ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Linear Matrix ◽  
Maximum Power Point ◽  
Model Based ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

In this paper, a new systematic approach for stability analysis and controller design of nonlinear solar photovoltaic (PV) power system is proposed. Based on a nonquadratic Lyapunov function (NQLF), a model-based dynamic nonparallel-distributed compensation (non-PDC) controller and descriptor representation, the problem of the output tracking is formulated in terms of linear matrix inequalities (LMIs). Furthermore, some slack LMI variables are introduced in the problem formulation which lead to more relaxed conditions. Finally, to illustrate the merits of the proposed approach, it is applied to a PV power system in which the reference voltage is calculated from the maximum power point tracking (MPPT) method.

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