الفهرس 
1. INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Satellites need a source of power throughout their missions to help them remain
operation during mission time. The supplied power of these satellites, provided
primarily by solar arrays, should have high efficiency and low weight in order to meet
stringent design constraints and reduce the cost. Power conversion from these arrays is
required to provide robust and reliable conversion which performs optimally in
varying conditions of temperature and solar flux as well as aging factors. Since the
function of these arrays is to deliver power, one of the principle factors in achieving
maximum power output from an array is tracking and holding its maximum-power
point. This point, which varies with temperature and pressure in the space, irradiation
and loading conditions, must be continuously viewed in order to react to rapid
changes.
Over the past decades many maximum power point tracking algorithms have been
published. The first objective of this thesis is to study and analyze them. The three
algorithms that where found most suitable for photovoltaic (PV) in space applications
which are perturb and observe (P&O), incremental conductance (IncCon) and fuzzy
logic control (FLC). These were selected for further analysis using a prototyping PV
system with a boost DC-DC converter using Microchip® PIC18F452 microcontroller
to execute these algorithms. Some modifications to the FLC algorithm are proposed,
which facilitate the calculations and enhance the performance of the control algorithm.
The three algorithms tested under different conditions, and the test results are analysed
and compared. The results show that the proposed fuzzy logic control algorithm can
give better performance than perturbation and observation and incremental
conductance algorithms.