Tracking and Interception of a Spiralling Ballistic Target on Reentry. Issue 1 (2022)

• Record Type: Journal Article
• Authors: Dak, Aastha; Radhakrishnan, Rahul
• Is Part Of: IFAC-PapersOnLine. Volume 55:Issue 1(2022)
• Page Start: 339
• Page End: 344
• Publication Date: 2022
• Subjects: Kalman filtering -- Guidance -- interception -- PNG law -- Miss-distance -- Non-linear filtering; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2022.04.056
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: Interception of the high velocity spiralling target requires accurate estimation of their relative states. In this work, the dynamics of spiralling target is modelled by representing the target acceleration through sinusoidal function in the inertial frame. A system model which consists of nine state variables is considered here with the three relative positions, three relative velocities, inverse of ballistic coefficient, manoeuvring coefficient and spiralling frequency of target. Non-linear state estimators, namely the unscented Kalman filter (UKF), new sigma point Kalman filter (NSKF) and cubature Kalman filter (CKF), are applied to track the spiralling target using the measurements obtained from an inbuilt seeker of the interceptor missile. Further, the estimated states are provided to a guidance block for generating interceptor missile accelerations. Performance comparison of state estimators in combination with PNG law is done by calculating the root mean square error(RMSE) of relative states and average miss-distance.