关键词: 伺服电机, ARIMA 模型, 时频分析, 优化算法, SVM 算法

Abstract: High-voltage switchgear control accuracy and response speed is directly affect the reliability of the system. For the efficiency optimization problem of external servo motor of switchgear, a hybrid modeling method based on autoregressive integrated moving average-support vector machine ( ARIMA-SVM ) is proposed. The time-frequency characteristics of servo motor bearing vibration signals are extracted by ARIMA model,and the efficiency optimization model is constructed by combining with SVM algorithm, which realizes the dynamic adjustment of motor control strategy. The experimental results show that the method significantly reduces the energy loss and error accumulation of the servo motor, improves the efficiency by up to 7% at rated load,reduces the input current by 1. 6 A,and improves the torque output and speed response at the same time. This study provides an effective solution for the intelligent control of switchgear in power systems and has important engineering application value.