基于太阳位置图像的太阳能帆板系统鲁棒精确定位控制

L. Syafa'ah, Lailatul Fauziyah, Zulfatman Has
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引用次数: 0

摘要

研究了由仰角轴和方位轴跟踪器组成的太阳能帆板系统的鲁棒精确定位控制设计。该研究的最终目标是确保太阳能电池板在机械负载和其他干扰下准确地跟随其跟踪参考移动。跟踪参考是太阳实际位置的图像。以图像处理结果作为初始参考,以高精度编码器作为控制器反馈路径,以获得硬件响应的准确位置。采用带比例积分导数(PID)滑动面的滑模控制器(SMC)作为控制技术,保证了太阳能帆板系统对干扰或负载变化的鲁棒性。通过软件仿真和硬件验证对该方法进行了验证。仿真验证软件为LabVIEW。而图像处理软件是视觉助手。硬件验证表明,太阳能帆板系统在仰角和方位角下跟踪太阳位置图像的精度分别为2.622%(0.03007˚)和0.244%(0.00893˚)。这些结果表明,太阳能电池板系统可以在方位角和仰角轴上精确地跟踪太阳位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust and Accurate Positioning Control of Solar Panel System Tracking based Sun Position Image
This study contains the robust and accurate positioning control design for solar panel system consisting of elevation and azimuth axis tracker. The ultimate objective of the study is to ensure the solar panel move accurately to follow its tracking reference against mechanical load and other disturbances. The tracking reference was the images of actual sun position. Image processing result as the initial reference and high precision encoder as the controller feedback path were intended to obtain the accurate position of hardware response. Sliding Mode Controller (SMC) with Proportional Integral Derivative (PID) Sliding Surface was employed as control technique that guarantee the solar panel system robust against disturbances or load variation. The proposed method was evaluated through software simulation and hardware validation. The software for the simulation and validation was LabVIEW. While the software for image processing was Vision Assistant. From hardware validation, accuracy of the solar panel system to track the sun position image for elevation and azimuth were 2.622% (0.03007˚) and 0.244% (0.00893˚), respectively. These results indicate that the solar panel system was available to move accurately to track the sun position both in azimuth and elevation axis.
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