Particle Swarm Optimization of Fuzzy Fractional PD~μ+I Controller of a PMDC Motor for Reliable Operation of Wire-Feeder Units of GMAW Welding Machine

摘要

In this article, we consider the development of an optimal control approach based on fuzzy fractional PD~μ+I controller to improve the speed error-tracking and control capability of a permanent magnet DC Motor (PMDC) driven wire-feeder systems (WFSs) of gas metal arc welding (GMAW) process. The proposed controller employs an optimized fractional-order proportional derivative + integral (PD~μ+I) controller that serves to eliminate oscillations, overshoots, undershoots and steady state fluctuations of the PMDC motor and makes the wire-feeder unit (WFU) has fast and stable starting process as well as excellent dynamic characteristics. The fixed controller parameters are meta-heuristically selected via a particle swarm optimization (PSO) algorithm. Numerical simulations are performed in MA TLAB/SIMULINK environment and the performance of the proposed fuzzy fractional PD~μ+I controller is validated. The simulation tests clearly demonstrate the significant improvement rendered by the proposed fuzzy PD~μ+I controller in the wire-feeder system's reference tracking performance, torque disturbance rejection capability and robustness against model uncertainties.