Sliding Mode Control Algorithm of Stabilized Aiming Table Based on Disturbance Observer

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.