The intelligent control of laser rust removal target trajectory for conventional electrical equipment mainly relies on laser vision detection technology, but this method lacks calculation of the curvature radius of laser beam data, resulting in a low fit between the final output trajectory and the expected trajectory, and the control effect is not ideal. To this end, an intelligent control method for the target trajectory of electrical equipment laser rust removal is proposed. Based on the principle of rust removal of power equipment using laser devices, the position coordinates of the beam centroid point are obtained to complete the calibration of the laser beam. The laser beam data is weighted and fused using the observation equation of the rust target, and a high-resolution sampling interpolation algorithm is used to calculate the curvature radius of the laser beam data. Based on this, a fuzzy controller with a dual closed-loop control structure is designed, Furthermore, intelligent control of the rust removal target trajectory can be achieved. The example application results show that the proposed method has a high degree of fit between the target trajectory and the expected trajectory, and the control effect is better. For the samples of power equipment with different corrosion degrees, the fitting degree of rust removal trajectory of the proposed method is higher than 98%, the average rust removal time is 10.1 min, and the energy consumption is between 1.7 and 1.8 kWh, which further demonstrates the application effectiveness of the proposed method.