Cubature Kalman Filtering for Dynamic Pointing Rotary Steerable System Based on Dynamic Event-Triggering Mechanism
Jinyi Tian, Li Sheng · 2021 CAA Symposium on Fault Detection, Supervision, and Safety for Technical Processes (SAFEPROCESS) · 2021
In this paper, the state estimation problem of dynamic point-the-bit rotary steerable system based on event-triggered cubature Kalman filter is studied. According to the known system model, a dynamic event-triggering mechanism is designed to send signals when the measured values of the system meet the event triggering conditions. Then, an event-triggered cubature Kalman filtering method is proposed and the upper bound of the filter error covariance can be guaranteed. Finally, simulation experiments show that the algorithm is effective.