Abstract: Due to the particularity of its application，offshore drilling rig has higher requirements for the

stability and control accuracy of the control signal. Aiming at the situation that the signal in the electronic control

system of offshore drilling rig is greatly disturbed by noise，a PID control signal optimization method based on

Kalman filtering algorithm was proposed. The signal is multidimensional and non-stationary output in the control

process. The PID transfer function was simulated by Matlab/Simulink software. The output of the transmitted

control signal was used as the input of the linear observation equation of the Kalman filtering algorithm. The

normal distribution fusion model was run to establish the model of Gaussian white noise interference of the control

signal of offshore drilling rig. The weighted average update iterative calculation of the stable signal and noise

observation value was carried out to obtain the minimum variance estimation value，so as to obtain the noise

reduction signal. The experimental simulation shows that compared with the traditional PID signal output，the

system has stronger anti-interference ability and better robustness.

      Key words: Kalman filter algorithm；normal fusion model；self-tuning PID model；Gaussian white noise