Position and attitude estimation algorithm and error analysis of high-spin projectile based on dual high-speed cameras intersected
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(1. School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. North Hua′an Industry Group Co., Ltd, Qiqihar 161046, China)

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TN95

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    Abstract:

    In order to measure the various information of the high-rotation projectile at the muzzle, a new method for estimating the position and attitude of projectiles based on the intersection of dual high-speed cameras was proposed. The error modeling and analysis of the total angle of attack function were carried out. Results show that the optical axes of the two cameras should be perpendicular to each other, and the measurement function of the camera with the optical axis far from the plane of attack should be selected to calculate the total angle of attack. Under this circumstance, the measurement error is the smallest. The conclusion of error analysis and the position and attitude estimation algorithm was verified by the shooting range experiments. Experimental results show that the conclusions of error analysis are correct, and the proposed position and attitude estimation algorithm is not based on any assumptions and its accuracy is higher than that of the POSIT(pose from orthography and scaling with iteration) algorithm. The initial velocity measurement error does not exceed 0.6 m/s, and the projectile centroid position measurement error does not exceed 0.3 m. The measurement method is a non-contact measurement and easy to implement. More importantly, the measurement information is comprehensive. So it can provide a reference basis for shooting range experiments, acceptance and other works.

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YANG Zhiwei, WANG Liangming, ZHANG Xifeng, WANG Yao. Position and attitude estimation algorithm and error analysis of high-spin projectile based on dual high-speed cameras intersected[J]. Journal of National University of Defense Technology,2022,44(2):71-79.

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History
  • Received:August 12,2020
  • Revised:
  • Adopted:
  • Online: April 01,2022
  • Published: April 28,2022
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