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作 者:姜文涛 刘晓明[3] 李培源 陈海 张煦松 JIANG Wentao;LIU Xiaoming;LI Peiyuan;CHEN Hai;ZHANG Xusong(School of Mechanical Engineering,Tiangong University,Tianjin 300387;Tianjin Key Laboratory of Intelligent Control of Electrical Equipment,Tiangong University,Tianjin 300387;State Key of Reliability and Intelligence of Electrical Equipment,Hebei University of Technology,Tianjin,300130)
机构地区:[1]天津工业大学机械工程学院,天津300387 [2]天津工业大学天津市电气装备智能控制重点实验室,天津300387 [3]河北工业大学省部共建电工装备可靠性与智能化国家重点实验室,天津300130
出 处:《机械工程学报》2024年第6期153-162,共10页Journal of Mechanical Engineering
基 金:河北省自然科学基金(E2020202086);中央引导地方科技发展专项(20ZYJDJC00060);国家电网有限公司科技项(kj2020-078)项目资助。
摘 要:针对机械式真空切换开关斥力机构设计参数相互耦合、输出动态特性相互关联的多变量多目标优化问题,提出一种基于非支配排序粒子群的多目标优化方法。计及材料特性影响的快速切换开关机构物体模型(实模)与数值模拟模型(理模)建模与分析,是机构本体设计和过往载荷全生命周期性能评估的基础。理模参数设计难以真实反映实模在不确定性条件与不同工况下输出特性及可靠性。采用数字孪生方法,进行理模与实模特征量设计,将理模与实模耦合建模计算层、多目标优化计算层相结合,优化机构本体参数;并与物理实体层参数同步实现孪生,进而实现机构整机理模到实模的多目标优化设计。数字孪生处理后的电流误差下降5.69%,分闸时间误差下降5.49%,为新一代智能电器产品多目标优化设计提供了一种新的可行性方法。In order to solve the multivariable and multi-objective optimization of repulsive mechanism for vacuum transfer switch,which has coupling design parameters and interrelated output dynamic characteristics,a multi-objective optimization method based on non-dominated sorting particle swarm optimization is proposed.The modeling and analysis of physical model(real model)and numerical simulation model(virtual model)of fast mechanism considering the influence of material characteristics are the basis of mechanism design and service cycle performance evaluation in service cycle.Virtual model parameters are hard to reflect the output characteristics and reliability of real model under uncertain conditions and different operating conditions.The digital twin method is used to design the virtual and real model.By combining the virtual and real model,coupling the calculation layer and the multi-objective optimization layer,the body parameters of the mechanism are optimized.Moreover,the physical real layer are synchronized to realize digital twin,and the multi-objective optimization of the mechanism from virtual to prototype is realized.After digital twin processing,the current error and opening time error are reduced by 5.69%and 5.49%,which provides a new feasible method for the multi-objective optimization design of a new generation of intelligent electrical products.
关 键 词:快速切换开关 斥力机构 非支配排序粒子群优化 多场耦合 数字孪生
分 类 号:TG156[金属学及工艺—热处理]
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