Aiming at the problems of low energy utilization and environmental sensitivity of passive light source adopted in high-speed projectile flight parameter measurement system, a combined active laser shadow photography system was studied. Based on the theoretical analysis of the system, the space position model and two velocity measurement models of high-speed projectile were established. The experimental platform of laser shadow photography system was built and the rationality of the system design was tested. The test results show that the both models can measure the flight speed of projectile, and the comparison error between the two methods is small.The mean square deviation of the projectile space position in X-axis is 0.795 mm and that in Z-axis is 0.496 mm. Compared with the results of paper target, the deviation degree is within 1 mm, and the system can measure the flight parameters of the projectile.
[1] 孙强飞. 基于高速成像技术的弹丸运动位姿参数测量方法研究[D]. 南京: 南京理工大学, 2018.SUN Qiangfei. Research on the measurement method of projectile motion posture parameters based on highspeed imaging technology[D]. Nanjing: Nanjing University of Technology, 2018.
[2] 华道柱. 大面积高速非线性光学显微成像技术以及应用的研究[D]. 武汉: 华中科技大学, 2012.HUA Daozhu. Research on large area high speed nonlinear optical microscopic imaging technology its application[D]. Wuhan: Huazhong University of Science Technology, 2012.
[3] 朱云超. 激光立靶目标快速识别技术研究[D]. 西安: 西安工业大学, 2016.ZHU Yunchao. Research on laser target recognition technology[D]. Xi′an: Xi′an University of Technology, 2016.
[5] GUO Qiang, WANG Yuxi, CHEN Hongwei. The principle and application of high speed single pixel imaging technology[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(9): 1261-1268.
[6] 杜慧敏, DU Huimin, GU Wenning, 顾文宁, 张霞, ZHANG Xia. Efficient implementation of deep learning classification algorithm based on FPGA[J]. Computer Engineering&Design, 2019, 40(12): 3425-3430.
[7] REN S, GIRSHICK R, GIRSHICK R. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(6): 1137-1149.
[10] 孙振亚. 高集成度模块化CCD成像系统关键技术研究[D]. 长春: 中国科学院大学(中国科学院长春光学精密机械与物理研究所), 2019.SUN Zhenya. Research on key technologies of high integration modular CCD imaging system[D]. Changchun: University of Chinese Academy of Sciences (Changchun Institute of Optical Precision Machinery Physics, Chinese Academy of Sciences), 2019.
[12] 杨东旭. 专用集成电路技术在高速数据传输系统与科学级CCD成像系统中的研究[D]. 合肥: 中国科学技术大学, 2018.YANG Dongxu. Research on ASIC technology in highspeed data transmission system scientificlevel CCD imaging system[D]. Hefei: China University of Science Technology, 2018.
[13] 刘胜刚. 高速八序列激光阴影成像仪图像采集系统的开发[D]. 成都: 电子科技大学, 2016.LIU Shenggang. Development of image acquisition system f highspeed sequences laser shadow imaging system[D]. Chengdu: University of Electronic Science Technology, 2016.
[15] 张毅. 面向科学级CCD控制器的通用测试系统的设计与实现[D]. 合肥: 中国科学技术大学, 2019.ZHANG Yi. Design implementation of a universal test system f scientificlevel CCD controllers[D]. Hefei: China University of Science Technology, 2019.