Research on Adaptive Kalman Filter Variable Structure Controller for Missile Rudder System

Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China

Tagungsband: ICMLCA 2021

Seiten: 5Sprache: EnglischTyp: PDF

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Autoren:
Wang, Xin; Han, Mengkai (School of Equipment Engineering, Shenyang Ligong University, Shenyang, China)
Wang, Yuxin (School of computer and Information Engineering, Tianjin Agricultural University, Tianjin, China)
Perliouk, Vladimir (Saint Petersburg State University of Aerospace Instrumentation (SUAI), Saint-Petersburg, Russia)

Inhalt:
The steering gear controller is a key part of the steering gear control system. It outputs the driving motor signal according to the rudder deflection angle command signal and the steering gear system feedback signal, so that the steering gear can deflect according to the specified angle. For the rudder system, the Kalman filter variable structure controller can effectively optimally filter the input signal with external random interference. However, Kalman filtering also has its limitations. During the flight of a missile in a complex environment, it cannot accurately predict the external noise to the steering gear system, so the system cannot achieve optimal filtering. In this paper, an adaptive Kalman filter variable structure controller is designed on the basis of the Kalman filter variable structure controller, and its advantages and disadvantages are compared and analyzed.