Design of Five-Axis Camera Stabilizer Based on Quaternion Untracked Kalman Filtering Algorithm

• 作者: Dezhi Liu Xiaohui Cheng Yu Zhang
• 来源期刊: 国际计算机前沿大会会议论文集
• 学科: 社会科学
• 关键词: ATTITUDE sensor QUATERNION ATTITUDE fusion Untracked KALMAN filter FIVE-AXIS STABILIZER
• 年，卷（期）: 2019,（2）
• 页码范围: 212-213
• 页数: 2页
• 分类号: C

摘要

A five-axis camera stabilizer based on quaternion unscented Kalman filter algorithm is designed. It combined the unscented Kalman filter algorithm with the quaternion attitude solution and was solved by attitude sensor. By attitude algorithm, the motor in three directions of pitch, heading and roll in the stabilizer was accurately adjusted to control the movement of the three electronic arms. In order to improve the three-axis hand-held camera stabilizer’s performance, and to solve the jitter problem of up-and-down movement not being eliminated, two mechanical anti-shake arms were loaded under the stabilizer to balance the camera’s picture in pitch, roll, heading, and above and below five directions. Movement can maintain a stable effect. The simulation results show that the algorithm can effectively suppress the attitude angle divergence and improve the attitude calculation accuracy.