基于多参数反馈的真空灭弧室集成设备RPA控制引擎设计与动态灭弧优化研究

doi:10.13385/j.cnki.vacuum.2025.04.02

摘要/Abstract

摘要： 为提高真空灭弧室集成设备在极端工况下的运行可靠性,提出一种基于多参数反馈的实时过程自动化（RPA）控制引擎与磁吹-气吹复合灭弧策略。通过构建真空度动态阈值分级模型、泄漏率卡尔曼滤波补偿算法及触头烧蚀量光谱反演方法,建立多物理量闭环反馈机制;设计模糊PID与深度强化学习双模协同控制架构,实现分合闸过程毫秒级精准调控;结合磁场梯度聚焦与脉冲气流时序匹配,形成电弧能量多路径耗散模式。实验表明,该方法将真空度波动范围从±12.3%降至±4.2%,电弧重燃概率由1.5%降至0.3%,介质恢复强度提升27.6%。研究成果为真空灭弧室集成设备智能化提供了理论与技术支撑,适用于新能源并网与直流配网场景下的断路器性能优化。

关键词: 真空灭弧室集成设备, RPA控制引擎, 动态灭弧优化, 多参数反馈, 双模协同控制

Abstract: To enhance the operational reliability of integrated vacuum interrupter devices under extreme conditions, a real-time process automation （RPA） control engine based on multi-parameter feedback and a composite arc-extinguishing strategy combining magnetic blowing and pulsed airflow is proposed. A closed-loop feedback mechanism is established by constructing a dynamic vacuum threshold classification model, a Kalman filter-based leakage rate compensation algorithm, and a spectral inversion method for contact ablation. A dual-mode cooperative control architecture combining fuzzy PID and deep reinforcement learning ensures millisecond-level precision in opening and closing operations. Coupled with magnetic field gradient focusing and timed airflow matching, a multi-path energy dissipation model for arc plasma is formed. Experimental results show that the vacuum fluctuation range is reduced from ±12.3% to ±4.2%, the arc re-ignition probability drops from 1.5% to 0.3%, and the dielectric recovery strength increases by 27.6%. This study provides theoretical and technical support for the intelligent upgrading of vacuum interrupter devices and is applicable to circuit breaker performance optimization in scenarios such as renewable energy integration and DC distribution networks.

Key words: vacuum switching device, RPA control engine, dynamic arc extinction optimization, multi-parameter feedback, dual-mode cooperative control

中图分类号: TM561.2

孙旭, 胡锦涛, 程铁军. 基于多参数反馈的真空灭弧室集成设备RPA控制引擎设计与动态灭弧优化研究[J]. 真空, 2025, 62(4): 7-8.

SUN Xu, HU Jintao, CHENG Tiejun. Design of a Multi-Parameter Feedback-Based RPA Control Engine and Dynamic Arc Extinction Optimization for Vacuum Switching Devices[J]. VACUUM, 2025, 62(4): 7-8.

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