Control Optimization Method of Substation Inspection Robot Based on Adaptive Visual Servo Algorithm

摘要

Abstract In order to enhance the accuracy of the target image captured by the substation inspection robot, this paper proposes an AVS algorithm based control optimization method for the substation inspection robot, which uses the feature transformation method to match the image and template image of the substation equipment captured by the robot, verifies the existence status of the target image elements in the image, and calculates the offset pixel correction results to capture more Accurate target image. The experimental results show that the method effectively improves the efficiency of image capture of inspection robot in substation equipment, and has good practical performance.