Research on Performance Optimization Strategy for Hybrid Power Welding Robot
Aiming at the hybrid power welding robot system,the energy optimization of the robot system is studied using the com-prehensive performance evaluation and random forest prediction methods,and the optimal control strategy based on the entropy weight method and the cloud model comprehensive performance evaluation method is designed.The random forest prediction method is introduced into the energy management system,and the model parameters with the minimum mean square error are de-termined by particle swarm optimization to predict the load power of the robot,and the evaluation results are applied to the pre-dicted power to further optimize and improve the performance of the hybrid power welding robot system.The experimental results show that the proposed optimization strategy can not only improve the tracking accuracy of the welding robot system,but also im-prove the stability and energy economy of the hybrid welding robot system.
万方数据
维普
