Detection And Control Of Saturation Level In The Magnetic Core Of A Welding Transformer By Ann Detector And Pi Controller
i-manager’s Journal on Instrumentation and Control Engineering · 2016
The goal of this work is to increase and review a novel method to manipulate the magnetization level within the magnetic core of a welding transformer. It is based on Artificial Neural Network, which requires simplest the measurement of the transformer's primary current and fuzzy common sense which requires the most efficient running values of the alter and welding present throughout the welding approach. The magnetization level contraband and controller is a colossal component of a Middle-Frequency Direct Present (MFDC) Resistance Spot Welding Process (RSWS), where the welding present and the instability thickness within the welding transformer's magnetic core are managed by two hysteresis controllers [1]. The resistance spot welding systems, described in different By realizations [1]-[6], are widely used in the automotive industry. Although the alternating or Direct Currents (DC) can be used for welding, this work focuses on the RSWS (Figure 1) with DC welding current. The resistances of the two secondary windings and characteristics of the rectifier diodes, connected to these windings, can slightly differ. References [7]-[10] show that the combination of these small differences can result in increased DC component in welding transformer's magnetic core flux density. It causes increased magnetic core saturation with the high impact on the transformer's primary current, where current spikes eventually appear, leading to the over-current protection switch-off of the entire system. However, the problematic current spikes can be prevented either passively [7] or actively [8]-[10]. When the current spikes are prevented actively, closed-