A vision-based ICF target positioning method

摘要

In Inertia confinement fusion (ICF) physical experiments, target positioning accuracy directly affects the success of target hitting. A simulation system using “OpenGL” graphics software is built to evaluate the target positioning algorithm, by avoiding the effect on measurement that is resulted from other sources of error in the system like manufacturing error and installation error. The proposed positioning method firstly uses template matching to extract the target features in image, then calculates the target's spatial coordinate and rotation matrix by integrating the feature values from three CCDs, and adjusts the target-sending mechanism to put the target in a desired position. The simulation results show the target-sending mechanism is confirmed to be able to adjust the target in a desired position, which verifies the practicality of the proposed positioning algorithm to be used in the real ICF physical experiment.