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Introduce Artificial Intelligence in Controlling a Solar Tracker

机译:在控制太阳能跟踪器时介绍人工智能

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According to the report on the global status of renewable energies 2016 published by REN21 (Renewable Energy Policy Network For The 21 st Century) the production of solar photovoltaic energy for the year 2015 reached 227 GW with more than 50 GW compared to the year 2014 that was 177 GW this rapid growth is due to research and dedicated scientific developments for this type of energies all these last have the same goal to improve the energy production capacity of these panels. In order to increase the efficiency of the solar panels, we have thought about the design and the realization of a two-axis solar tracker, which will allow the panels to follow the sun and to have the optimal position where there is the maximum of solar power that our panel can acquire. In principle, our system consists of three cards, the first one is the acquisition card or the sensors card it delivers the information on the position of the sun, the second is the control card where we have programmed our algorithm which is responsible for continuously regulating of the position of our tracker, the third is a power card that acts as the intermediary between the control board and the actuators (the two motors of the two axes). By using a PID algorithm and after a real test of our solar tracker it was found that the regulation is done in a correct way but we noticed that the actuators consume a lot of energy to keep the optimal position and we lose the information after the position change, this is why we introduced the notion of artificial intelligence through the development of an algorithm based on advanced fuzzy logic with adaptable rules. Our algorithm will replace the old algorithm (PID) to control the movement of the axes of our tracker as well to find the optimal point where there is the maximum of solar irradiation. Our algorithm will also memorize all the optimal points found during the day for used as much as references and to add it's as the elements that constitute these rules taking into account also the energy consumption of the system. Our system is developed from such a fate to be reliable, fair and tough.
机译:根据Ren21(21世纪可再生能源政策网络的全球可再生能源能源地位的报告),2015年太阳能光伏能源的生产达到了227 GW,与2014年相比,超过50 GW这一快速增长是由于这类能量的研究和专注的科学发展,所有这些最近有相同的目标,可以提高这些面板的能量产能。为了提高太阳能电池板的效率,我们已经考虑了一个双轴太阳能跟踪器的设计和实现,这将允许面板跟随太阳并且具有最大的太阳能的最佳位置我们的面板可以获得的力量。原则上,我们的系统由三张卡组成,第一个是收购卡或传感器卡,它提供了关于太阳位置的信息,第二个是我们已经编程了我们的算法,该控制卡负责连续调节的算法在我们的跟踪器的位置,第三个是一种动力卡,其充当控制板和致动器之间的中介(两个轴的两个电动机)。通过使用PID算法和我们的太阳能跟踪器实际测试之后,发现该调节以正确的方式完成,但我们注意到执行器消耗大量的能量以保持最佳位置,并且在位置之后失去信息改变,这就是为什么我们通过基于高级模糊逻辑的算法引入了人工智能的概念,具有适应性规则。我们的算法将取代旧算法(PID)来控制跟踪器轴的移动,并找到最大的太阳照射的最佳点。我们的算法还将记住当天发现的所有最佳点,因为使用的参考资料并添加了构成这些规则的元素,也考虑到系统的能量消耗。我们的系统是从这样的命运开发的,以可靠,公平和强硬。

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