Design of 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: 4Sprache: EnglischTyp: PDF

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Autoren:
Wang, Xin; Gong, Junjie; Lu, Yao; Wang, Xinghua (School of Equipment Engineering, Shenyang Li gong University, Shenyang, China)

Inhalt:
The control strategy plays a decisive role in the rudder control system. The primary role of the rudder control system is to achieve accurate position tracking. In order to achieve the desired control effect, the key is the design of the control algorithm. The control algorithm of the rudder has a PID control algorithm, fuzzy control algorithm, variable structure control algorithm, which is easy to realize by computer. According to the complexity and noise situation of the future battlefield environment, given the complexity and noise of the battlefield environment in the future, combined with the development of Kalman theory, a Kalman filter variable structure algorithm is designed, and the adaptive algorithm is further improved. An adaptive solid Kalman filter variable structure algorithm is obtained. In the future noisy, complex information battlefield, the accurate estimation, tracking, and hitting of the moving target for precision long-range guidance missile are required. A Kalman filter variable structure controller is designed by introducing a Kalman filter algorithm into a variable structure controller. A Kalman filter variable structure controller is designed and built a model. The results show that the controller maintains the excellent variable structure characteristics and has the unique advantages of Emmerich Kalman, which makes the system have strong adaptability and robustness.