Trajectory estimation method of spinning projectile without velocity input. (August 2020)

• Record Type: Journal Article
• Authors: Deng, Zilong; Shen, Qiang; Cheng, Jisi; Wang, Hanyu
• Is Part Of: Measurement. Volume 160(2020)
• Publication Date: 2020-08
• Subjects: Trajectory estimation -- Velocity measurement of spinning projectile -- Extended Kalman filter; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2020.107831
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Velocity of the spinning projectile is estimated with only position and rotational speed. Modified Point-mass trajectory model is established to design extended Kalman filter. Speed of wind and the update period of Kalman filter can affect filtering results. Course correction strategy is proposed and verified by hardware-in-the-loop simulations. Abstract: It is essential to obtain the position, velocity and attitude of a projectile for course correction, where the velocity of a spinning projectile is the hardest to obtain with merely a GPS (Global Positioning System) receiver. To realize trajectory correction without additional devices except a GPS receiver, a trajectory estimation method without external velocity input is studied. A modified point-mass model of the spinning projectile with fixed canards is established, and its real-time position and velocity is estimated by an extended Kalman filter with input of only position and rotational speed. A trajectory control technology is proposed as well and being verified by the hardware-in-the-loop simulations. The simulation results show that the proposed method can estimate the position and velocity of the trajectory properly and reduce the CEP (Circular Error Probable) of the projectile by about 100 m.