A Genetic Algorithm-Controlled Solar Tracker Robot with Increased Precision Due to Evolution

The aim of this paper is to present the genetic algorithm used in programming a solar tracker robot. The solar tracker robot can be used to increase the efficiency of solar panels by rotating them toward the Sun. When the efficiency of solar panels is increased, they can reduce the space occupied by...

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Bibliographic Details
Published in:Machines (Basel) 2023-04, Vol.11 (4), p.430
Main Authors: Szabo, Roland, Ricman, Radu-Stefan
Format: Article
Language:English
Subjects:
Algorithms
Design
Efficiency
embedded system
evolutionary computation
evolutionary robotics
Flow charts
Genetic algorithms
Genetic engineering
Microcontrollers
Microelectromechanical systems
Mutation
Optimization
Problem solving
robot control
robotic assembly
Robotics
Robots
Software
Solar panels
Sun
Walking
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Summary:The aim of this paper is to present the genetic algorithm used in programming a solar tracker robot. The solar tracker robot can be used to increase the efficiency of solar panels by rotating them toward the Sun. When the efficiency of solar panels is increased, they can reduce the space occupied by them. Efficiency can also be increased by genetic algorithms, where a solar panel can evolve and thus track the Sun more precisely. The genetic algorithm implemented in the solar tracker is the main focus of this paper. The genetic algorithm is presented with a flow chart and formulas. After this, the system is implemented on a solar tracker robot and validated with real experiments. The solar tracker robot algorithm is implemented in the C language on a microcontroller built on an FPGA platform.
ISSN:2075-1702
2075-1702
DOI:10.3390/machines11040430