首页> 外文会议>2013 International Conference on Signal Processing Image Processing amp; Pattern Recognition. >2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW
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2 D tracking system for solar panels using SVM implemented by motion assistant of LabVIEW

机译:LabVIEW运动助手实现的使用SVM的太阳能电池板二维跟踪系统

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摘要

Design of a two dimensional automated solar tracking system is discussed in this paper. The objectives of the proposed work are to design an automated tracking technique using Light Dependent Resistance (LDR), and solar panel power output to position the solar panel to absorb maximum energy. For positioning the solar panel two stepper motors are used those are controlled using National Instruments (NI) motion assistant and with the program written using Support Vector Machine (SVM) on LabVIEW. The controller is designed using SVM with the inputs as the solar panel output, LDR sensor output and target being the position of solar panel which yields maximum output from solar panel. SVM after being trained, validated, and tested is implemented to control the position of solar panels through two stepper motors. The system was tested and results showed the proposed technique has fulfilled its mentioned objectives.
机译:本文讨论了二维自动太阳跟踪系统的设计。拟议工作的目的是设计一种使用光敏电阻(LDR)的自动跟踪技术,并利用太阳能电池板的功率输出来定位太阳能电池板以吸收最大能量。为了定位太阳能电池板,使用了两个步进电机,这些电机是通过National Instruments(NI)运动助手以及通过LabVIEW中的Support Vector Machine(SVM)编写的程序来控制的。控制器使用支持向量机设计,输入为太阳能电池板输出,LDR传感器输出,目标为太阳能电池板的位置,太阳能电池板产生最大输出。经过培训,验证和测试的SVM被实施为通过两个步进电机控制太阳能电池板的位置。该系统进行了测试,结果表明所提出的技术已达到其提及的目标。

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