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<p>In response to the full-range dynamic characteristics of the making and breaking process of permanent magnet (PM) contactors and the issue of constant current charging for energy storage capacitors, a radial basis function neural network (RBF-NN) control strategy is proposed. A Buck circuit-based constant current charging circuit for the energy storage capacitor is designed. By coordinating the lifting and suppression algorithm with the RBF-NN, the reference current value is determined to regulate the charging current of the energy storage capacitor, thereby eliminating the sharp peak current generated during the discharge of the filter capacitor in the charging process. In the self-correcting mode of making and breaking, the RBF-NN utilizes real-time displacement and velocity values as inputs and adjusts the excitation energy of the coil via the output PWM duty cycle. This enables dynamic adjustment of attractive and repulsive forces, achieving intelligent closed-loop control over the entire making and breaking process of the PM contactor. Based on the voltage balance equation and the Lagrange mechanical motion equation, a dynamic mathematical model of the PM contactor is established. The RBF-NN control strategy is simulated using MATLAB software for both constant current charging of the energy storage capacitor and the entire making and breaking process of the PM contactor. The simulation and experimental results demonstrate good consistency. Finally, an experimental platform is constructed to evaluate the dynamic characteristics of the constant current charging process of the energy storage capacitor and the making and breaking behavior of the PM contactor under the RBF-NN control strategy. The experimental results indicate that 94.7% of the sharp peak current can be effectively eliminated, the final velocity of the moving core can be reduced by 67.2%, the number of contact bounces can be decreased by 80.9%, and the arc and arc length can be reduced by 80%, thereby enhancing the mechanical and electrical lifespan of the contactor.</p>

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Dynamic characteristics of permanent magnet contactor making and breaking under control strategy of RBF neural network

  • 期刊论文

  • 发表日期：

    2025年7月7日

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  • Xianbing Wang,
  • Jiyu Peng,
  • Jifeng Zhang,
  • Shuhua Fang,
  • Kecheng Huang,
  • Jin Peng,
  • Ziyang Hou

摘要

In response to the full-range dynamic characteristics of the making and breaking process of permanent magnet (PM) contactors and the issue of constant current charging for energy storage capacitors, a radial basis function neural network (RBF-NN) control strategy is proposed. A Buck circuit-based constant current charging circuit for the energy storage capacitor is designed. By coordinating the lifting and suppression algorithm with the RBF-NN, the reference current value is determined to regulate the charging current of the energy storage capacitor, thereby eliminating the sharp peak current generated during the discharge of the filter capacitor in the charging process. In the self-correcting mode of making and breaking, the RBF-NN utilizes real-time displacement and velocity values as inputs and adjusts the excitation energy of the coil via the output PWM duty cycle. This enables dynamic adjustment of attractive and repulsive forces, achieving intelligent closed-loop control over the entire making and breaking process of the PM contactor. Based on the voltage balance equation and the Lagrange mechanical motion equation, a dynamic mathematical model of the PM contactor is established. The RBF-NN control strategy is simulated using MATLAB software for both constant current charging of the energy storage capacitor and the entire making and breaking process of the PM contactor. The simulation and experimental results demonstrate good consistency. Finally, an experimental platform is constructed to evaluate the dynamic characteristics of the constant current charging process of the energy storage capacitor and the making and breaking behavior of the PM contactor under the RBF-NN control strategy. The experimental results indicate that 94.7% of the sharp peak current can be effectively eliminated, the final velocity of the moving core can be reduced by 67.2%, the number of contact bounces can be decreased by 80.9%, and the arc and arc length can be reduced by 80%, thereby enhancing the mechanical and electrical lifespan of the contactor.