As an important defensive weapon，the rudder system of shipborne decoy jamming missile plays a key role in ensuring the dynamic quality and flight safety of the flight control system. Traditional PID control algorithms have limitations in terms of anti-interference and fast response capabilities. Therefore，the particle swarm optimization technology is introduced and the advantages of active disturbance rejection and intelligent algorithms are integrated to improve the active disturbance rejection control algorithm and to enhance the anti-interference capability and stability of the rudder system. In view of the offline adjustment problem of self-disturbance rejection control，particle swarm intelligence algorithm is proposed to optimize the parameters of the rudder system controller online to adapt to environmental changes and to solve the problem of limited control performance. The simulation results of the system show that compared with traditional PID algorithm and ADRC algorithm，the active disturbance rejection control method based on particle swarm optimization has better performance in the position loop control of the rudder system.
