Abstract: accuracy due to speed signal noise under complex dynamic operating conditions，a speed stability drive control method based on robot operating system distributed architecture is proposed. A dynamic model of rotational speed is established to analyze the effects of traction and resistance on speed stability. The speed signal is converted into a wave frequency signal，and a moving average filtering algorithm is applied to suppress the mean of signal noise, thereby improving signal accuracy. A ROS distributed architecture is constructed，with the speed stabilization factor as a node; the denoised signal is fed into each module to compute the optimal output， and trajectory tracking is realized according to drive constraints. Experimental results show that the proposed method can maintain trajectory deviation within approximately 20mm，effectively filter environmental noise，and significantly improve the motion control accuracy and reliability of the inspection robot.