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Optimization of Dynamic Characteristics for Electromagnetic Relay via Semi-Analytical Modeling

机译:基于半解析模型的电磁继电器动态特性优化

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Generally dynamic characteristics of actuators such as electromagnetic relay can be solved with Finite Element (FE) method, of which the enormous calculation time consumed virtually prohibits its utility in handling optimization problems.In this paper a semi-analytical model was established based on Magnetic Equivalent Circuit (MEC) method and FE method.To achieve fast calculation Magnetic Equivalent Circuit (MEC) method is applied for electromagnetic system modeling.And to ensure accuracy, compensation matrix Cm×n is introduced to compensate the errors caused by flux leakage and saturation according to results obtained from the Finite Element (FE) method.As a counterpart Deformation Energy (DE) method is used for analytical modeling for mechanical system which includes mainly recoverable reed producing counter-force.Thus dynamic modeling and the subsequent dynamic parameters can be available by solving Ordinary Differential Equations (ODE) by 4th order Runge-Kutta method and the comparison with results from FE method indicates the feasibility and efficiency of the new approach.The breaking speed and closure speed of the contact, which are closely related to electrical arc making and contact loss caused by bounce respectively, are combined as an objective function to optimize with one of the stochastic approaches-Particle Swarm (PS) algorithm.Thus an optimum combination of input parameters can be obtained.The approach can also be applied in optimizations for other mechanical and electrical devices.
机译:一般而言,电磁继电器等执行器的动态特性可以通过有限元(FE)方法求解,而所消耗的大量计算时间实际上限制了它在处理优化问题中的效用。本文建立了基于磁当量的半解析模型电路(MEC)方法和有限元方法。为实现快速计算,电磁等效电路(MEC)方法用于电磁系统建模。为了确保精度,引入补偿矩阵Cm×n来补偿由磁通泄漏和饱和引起的误差。作为对等的变形能(DE)方法用于机械系统的分析建模,其中主要包括可恢复的簧片产生反作用力,因此可以使用动态建模和后续的动态参数通过四阶Runge-Kutta方法求解常微分方程(ODE)和比较有限元法的结果表明了该方法的可行性和有效性。将与电弧的产生密切相关的触头的断开速度和闭合速度以及由反弹引起的接触损耗作为目标函数进行优化。使用一种随机方法-粒子群算法(Particle Swarm,PS)算法,可以得到输入参数的最佳组合,该方法也可以用于其他机电设备的优化。

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