Grasshopper Optimization of FOPID controller with fractional filter for a GMAW Process.

Abstract

Gas metal arc welding (GMAW) processes are currently of great industrial importance, being used in the manufacture of the most varied components and metallic structures and in the recovery of a large number of damaged parts. In this work, a multi-objective heuristic technique namely the grasshopper optimization algorithm (MOGOA), is proposed in order to be used in a robust welding current and arc voltage control with a fractional order proportional integral-derivative (FOPID) controller with integer filter. The problem of setting the FFOPID parameters has been transformed into an optimization problem with an objective function based on time domain and solved with MOGOA. The proposed approach has been applied to a GMAW process. The performance of the newly designed FFOPID structure (GOAFFOPID) based on the proposed GOA was compared with the GA and PSO algorithms. The superiority, potential and robustness of the proposed approach were verified through nonlinear simulation study and some dynamic performance indexes.