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激光无线电能传输系统对准环节设计 被引量:2

Design of alignment subsystem for laser wireless power transmission system
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摘要 激光对准是激光无线电能传输系统中接收端获得稳定能源的前提,激光传能对对准精度、稳定性和实时性提出了较高的要求,因此,提出了一种激光对准系统设计方法,并对感兴趣区域提取以及图像预处理方法进行了优化改进:一方面,通过引入MobileNet、增加空间注意力机制以及融合语义的方式改进SSD(single shot multi-Box detector)模型,使用改进模型训练并预测感兴趣区域,相较于原始模型,训练速度提升了71.67%,模型大小减小了52.48%,实时检测速度提升了295.30%,检测偏差显著减小;另一方面,对灰度化的权值进行了优化,并利用直方图实现阈值的自适应选取,采用椭圆拟合法及形心法检测光斑与信标中心点,优化图像处理方法能够有效提取光斑,减小光斑定位的误差。实验结果表明,改进的激光对准系统精度稳定在95%以上,能够满足实际应用中精度、速度与稳定性的要求。 Laser alignment is a prerequisite for stable energy acquisition at the receiver end in laser wireless power transmission systems.Laser power transfer imposes high requirements on alignment accuracy,stability,and real-time performance.Therefore,a laser alignment system design method is proposed,and optimizations are made to the region of interest extraction and image preprocessing methods.On one hand,the SSD(single shot multi-Box detector)model is improved by introducing MobileNet,incorporating spatial attention mechanism,and fusing semantics. The improved model is used for training and predicting the regions of interest. Compared to the original model, the training speed is improved by 71.67%, the model size is reduced by 52.48%, the real-time detection speed is increased by 295.30%, and the detection error is significantly reduced. On the other hand, the weights of grayscale conversion are optimized, and an adaptive threshold selection using a histogram is implemented. The elliptical fitting method and centroid method are employed to detect the spot and beacon center, reducing the error in spot localization. Experimental results show that the improved laser alignment system achieves a stable accuracy of over 95% and meets the requirements of accuracy, speed, and stability in application.
作者 康劲松 周艳萍 孙梁榕 孔凡伟 吕艳亭 Kang Jinsong;Zhou Yanping;Sun Liangrong;Kong Fanwei;Lv Yanting(Institute of Rail Transit,Tongji University,Shanghai 201804,China;Key Laboratory of Maglev Technology in Railway Industry,Tongji University,Shanghai 201804,China;College of Electronic and Information Engineering,Tongji University,Shanghai 201804,China;Shanghai Aerospace Electronics Co.,Ltd.,Shanghai 201821,China)
出处 《光电工程》 CAS CSCD 北大核心 2023年第7期89-99,共11页 Opto-Electronic Engineering
关键词 激光对准 SSD网络 图像处理 目标检测 laser alignment SSD network image process object detection
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