To improve dynamic tracking and pointing accuracy on unstable platforms, this paper designs a parallel closed-loop control approach based on on-axis tracking theory. This design eliminates mutual restriction between the target position forecasting filtering and the servo control, and optimizes the structure of the tracking and pointing system. Specifically, the Interacting Multiple Model Unscented Kalman Filter method is adopted to estimate motion parameters of high-speed and maneuvering targets. The variable parameter PI control method is utilized to regulate the servo system. The simulation experiments and practical experiments show that the proposed method improves the system stability and the tracking and pointing accuracy.
Study on the Parallel Closed-Loop Control Method for Dynamic Tracking and Pointing on Unmanned Ships
Lect. Notes Electrical Eng.
International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021
Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 98 ; 991-999
2022-03-18
9 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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