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出 处:《浙江大学学报(工学版)》2012年第2期301-308,共8页Journal of Zhejiang University:Engineering Science
基 金:国家"973"重点基础研究发展计划资助项目(2011CB706506);(教育部)高等学校博士学科点专项科研基金资助项目(200803350031);浙江省自然科学基金资助项目(Z1080339)
摘 要:针对全数字样机仿真求解分断电流时电弧建模困难、全物理样机实验求解电流成本高,周期长的缺点,提出全分断周期混合电流模型,将分断电流划分为实验电流与响应面电流的组合.建立触头灭弧子系统物理样机进行分断实验获取"伪电流",以其余子系统为数字样机,基于测试"伪电流",结合暂态分析法、电磁场和多体动力学仿真技术、神经网络回归技术等,提取分断过程耦合状态变量,建立分断电流响应面模型;构建基于全分断周期混合电流模型的仿真分析平台,对低压断路器分断仿真进行实现.结果表明,该方法能够有效求解低压塑壳断路器分断电流,显著缩短仿真周期.In view of the disadvantage that it's difficult to establish an accurate arc model when solving breaking current of molded case circuit breaker(MCCB) by simulation and it's costly and prolonged by experiment with all-physical prototyping,a hybrid current model of breaking cycle was proposed,which consists of experiment current and response surface current."Pseudo-current" was got by experimenting with the physical prototype of the contact and quench-arc subsystem,other components were taken as digital prototyping,the status variables corresponding to the breaking cycle were extracted by the technique of transient analysis,electromagnetic field and multi-body dynamics analysis and BP neural network based on the "pseudo-current",and a response surface current model about the status variables was established.A simulation platform based on the current model was established at last,and applied into the breaking simulation of MCCB,the result shows that it solves the breaking current effectively and reduces the simulation cycle significantly.
关 键 词:全分断周期 物理样机 数字样机 BP神经网络 塑壳断路器
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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