基于机器视觉的太阳能板自动跟踪系统研究  

Research of Solar Panel Tracking System Based on Machine Vision

作　　者：李文华[1] 牛晓靖 郭辰光[1] 张建卓[1] 梁子元 张行[1] 

机构地区：[1]辽宁工程技术大学机械工程学院,辽宁阜新123000

出　　处：《控制工程》2015年第4期659-663,共5页Control Engineering of China

基　　金：辽宁省自然科学基金项目(20102184);辽宁省博士启动基金计划(20131043)

摘　　要：提出一种以网络摄像头为光敏单元,将采集到的图像经过灰度图像变换、图像滤波、二值化变换、形态学图像处理、连通域分析等手段,通过计算机视觉和模糊模式识别的方法对太阳位置进行有效识别,利用孔洞填充与连通域计算质心坐标,实现对太阳位置的自动跟踪,始终保持光线与太阳板垂直,最大限度获得太阳能。设计制造试验样机对跟踪器光伏板的光强变化、电流强度和功率变化情况进行实验研究,结果表明,该系统有效的提高了太阳能的利用率和光伏发电系统的效率,运行稳定可靠。A method to realize photovoltaic panel＇s automatic tracking for sun＇s location is presented in this paper, which can greatly take advantage of the solar energy by using means of gray-scale transformation, image filtering, binarization transformation, morphology image processing and connected component analysis for the collected images with webcam as photosensitive cell, effectively identifying the position of the sun with the method of computer vision and fuzzy pattern recognition, and comparing the output control signal by calculating the center-of-mass coordinate. Then the paper summarizes and analyzes the light intensity change, current intensity and the power change condition of the tracker photolytic by living examples, and the results show that the proposed method improves the reliability and stability of the system.

关 键 词：太阳能 自动跟踪 MATLAB 图像处理 

分 类 号：TP11[自动化与计算机技术—控制理论与控制工程]