Path Planning for Welding Spot Detection

Aiming at the path optimization of welding spot detection, a novel particle swarm optimization algorithm was proposed and adjusted the parameter in combination with the neighborhood information, which can overcome the local minimum problem to some degree. In the process of path planning, the minimum time was taken as movement criterion. At the current path point, a path planning time function was established. By using the novel particle swarm algorithm, the minimum point of the time function was obtained and taken as the next path point, thus the path of the welding spot could be acquired step by step. The simulation results showed that an effective optimal path was planned by applying the proposed method, which could fulfill the task of welding spot traversal. Finally the theoretical analysis results were verified with simulations, and it was shown that the new algorithm has better convergence accuracy and controllable speed compared with other PSO algorithms.