Simulation and experimental results are acceptable and demonstrate the effectiveness, precision, stability, and dynamic reaction of the suggested optimized wire feeder regulating system and the considered intelligent P&O MPPT technique.
The proposed strategy is tested using MATLAB simulations and experimentally verified in real-time on a Hardware-in-the-loop (HIL) testing platform using a dSPACE®1104 board-based laboratory setup. Furthermore, the dynamic reaction of the proposed solar PV-WFS depends on the coefficients of these FO-Fuzzy-PID regulators, which are adjusted by a meta-heuristic tuning algorithm based on particle swarm optimization (PSO) technique. Which will then control the wire feed rate of the welding WFS system.
In this article, a FO-Fuzzy-PID regulator is also designed for a PMDC motor driven welding WFS system. The power of the proposed standalone solar photovoltaic-wire feeder system (PV-WFS) can be widely improved using an intelligent fractional-order fuzzy proportional integral derivative (FO-Fuzzy-PID) regulator based on perturbing and observe (P&O) MPPT method. The proposed system comprises of a solar PV generator, a DC/DC buck converter, and a permanent magnet DC (PMDC) motor. This article proposes a new type of welding WFS and investigates the PV penetrated energy systems. The utilization of solar photovoltaic (PV) generator as a power source for wire feeder systems (WFSs) of arc welding machines is one of the promising domains in solar PV applications. The simulation results indicate the effectiveness of the considered control strategy in terms of the reduction in torque oscillations, optimizing electrical power and wire feed speed. The simulation of the proposed system by MATLAB\SIMULINK is carried out. The PVWFS system incorporating the proposed method is tested and compared with the conventional PID control scheme under different weather conditions. The maximum power point tracking (MPPT) is achieved using an intelligent FO-Fuzzy-PID current controller based Perturb and Observe (P&O) MPPT algorithm. The dynamic reaction of the proposed solar PVWFS relies upon the scaling factors of FO-Fuzzy-PID controller, which are optimized by using teaching-learning algorithm based on Particle Swarm Optimization (PSO) method. The purpose is to ensure optimal control of wire feed speed reference to reduce torque ripples and hence, the performance of the WFS is improved. The considered technique is designed by direct speed control based on optimal Fractional-order Fuzzy PID FO-Fuzzy-PID controller. This article aims to improve the permanent magnet DC (PMDC) motor performance for photovoltaic (PV) wire-feeder systems (PVWFSs) of arc welding machines.
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