TY - GEN
T1 - Sliding mode control algorithm of stabilized aiming table based on disturbance observer
AU - Liu, Peijun
AU - Deng, Hongbin
AU - Ling, Shu
AU - Hao, Xiong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/27
Y1 - 2020/11/27
N2 - Stabilization and aiming control technology is the key component of unmanned weapon station. Traditional control methods have some problems, such as inaccurate modeling, easy to be affected by external interference, contradiction between speediness and overshoot. The sliding mode control algorithm has the advantages of fast response and independent of the system model. Therefore, this paper adopts the sliding mode control algorithm to control the rotation of the stabilized aiming table. Aiming at the chattering problem existing in the sliding mode control algorithm, PID sliding mode surface is adopted to effectively suppress the chattering and disturbance observer is added to deal with the external interference. Finally, the effectiveness of the control algorithm is verified by Matlab/Simulink simulation platform. The simulation results show that the designed control algorithm has good response speed, steady-state performance and anti-interference ability.
AB - Stabilization and aiming control technology is the key component of unmanned weapon station. Traditional control methods have some problems, such as inaccurate modeling, easy to be affected by external interference, contradiction between speediness and overshoot. The sliding mode control algorithm has the advantages of fast response and independent of the system model. Therefore, this paper adopts the sliding mode control algorithm to control the rotation of the stabilized aiming table. Aiming at the chattering problem existing in the sliding mode control algorithm, PID sliding mode surface is adopted to effectively suppress the chattering and disturbance observer is added to deal with the external interference. Finally, the effectiveness of the control algorithm is verified by Matlab/Simulink simulation platform. The simulation results show that the designed control algorithm has good response speed, steady-state performance and anti-interference ability.
KW - Disturbance observer
KW - Sliding mode control
KW - Stabilized aiming turntable control
UR - http://www.scopus.com/inward/record.url?scp=85098984349&partnerID=8YFLogxK
U2 - 10.1109/ICUS50048.2020.9274903
DO - 10.1109/ICUS50048.2020.9274903
M3 - Conference contribution
AN - SCOPUS:85098984349
T3 - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
SP - 19
EP - 22
BT - Proceedings of 2020 3rd International Conference on Unmanned Systems, ICUS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Unmanned Systems, ICUS 2020
Y2 - 27 November 2020 through 28 November 2020
ER -