• Acta Photonica Sinica
  • Vol. 38, Issue 12, 3295 (2009)
HUANG Hai-bo1、2、*, AI Yong1, CHEN Jing1, ZHANG Yong-qin1, ZUO Tao1, and YE De-mao1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    HUANG Hai-bo, AI Yong, CHEN Jing, ZHANG Yong-qin, ZUO Tao, YE De-mao. Image Recognition and Tracking System for High Frame Frequency Object Based on Kalman Predictor and Fuzzy PID Technology[J]. Acta Photonica Sinica, 2009, 38(12): 3295 Copy Citation Text show less

    Abstract

    In order to track with the beacon facular real time and high precisely for fine tracking system in space light communication,a suit of fine tracking control flat based on high frame frequency CMOS camera is designed,and image processing and control algorithms are all integrated into the large scale FPGA chip.Fuzzy reasoning rules are combined with general PID algorithm,which improve the control precision of nonlinear system.Kalman predictor is combined with fuzzy PID algorithm,which realizes real-time and forward control for FSM.Field experiment result shows that the system is capable of restraining outside disturbance,realizing exact tracking facular weak object,and it has the characteristics of high-speed response,high-precision stability and powerful ability of anti-jamming.
    HUANG Hai-bo, AI Yong, CHEN Jing, ZHANG Yong-qin, ZUO Tao, YE De-mao. Image Recognition and Tracking System for High Frame Frequency Object Based on Kalman Predictor and Fuzzy PID Technology[J]. Acta Photonica Sinica, 2009, 38(12): 3295
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