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Application of Ant Colony Algorithm to the Analysis of Common Mode EMI Model of DC Motor

机译:蚁群算法在直流电动机共模EMI模型分析中的应用

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The Electromagnetic Compatibility (EMC) of direct current (DC) motor windings is a system model which is used to reflect the functional characters of the system in the whole EMC specified frequency (150 KHz ~ 30 MHz). For most motor designing process, it is always used to evaluate the inductance of windings in lower or working frequency; however, when analyzing the conducted interference, it is necessary to take some pa-rameters in high frequency into account in building up the EMC model, such as the noticeable capacitance distributed among the windings or between windings and shells. Past research neglected the common-mode current generated by the high frequency interference within motor bearings coupled with shells, since the parasitic capacitance of rotor core comes from armature windings supplied sufficient paths. In EMC model-ing process for DC motor problem, first, test the impedance of windings by experiments; then, generate the equivalent circuit with overall parameters. At present, it is a difficulty that how to choose the parameters. Most researchers preferred to adopt analytical calculation results, however, it could not reflect the essence of the model since it requires many simplification. Based on this point, this paper adopted ant colony algorithm (ACA) with positive feedback to intelligently search and globally optimize the parameters of equivalent cir-cuit. Simulation result showed that the impedance of equivalent circuit calculated by this algorithm was the same as experimental result in the whole EMC frequency. In order to further confirm the validity of ACA, PSPICE circuit simulation was implemented to simulate the spectrum of common mode Electromagnetic Interference (EMI) of equivalent circuit. The simulation result accords well with the experiment result re-ceived by EMI receiver. So it sufficiently demonstrated correctness of ACA in the analysis of high frequency equivalent circuit.
机译:直流(DC)电动机绕组的电磁兼容性(EMC)是一个系统模型,用于反映整个EMC指定频率(150 KHz〜30 MHz)中系统的功能特性。在大多数电动机设计过程中,它总是用于评估较低或工作频率的绕组的电感。但是,在分析传导干扰时,在建立EMC模型时必须考虑一些高频参数,例如在绕组之间或绕组与外壳之间分布的明显电容。由于转子铁芯的寄生电容来自于提供足够路径的电枢绕组,因此过去的研究忽略了由电动机轴承与壳体耦合产生的高频干扰所产生的共模电流。在针对直流电动机问题的EMC建模过程中,首先,通过实验测试绕组的阻抗;然后,生成具有整体参数的等效电路。目前,如何选择参数是一个难题。大多数研究人员倾向于采用分析计算结果,但是由于需要大量简化,因此无法反映模型的本质。基于此,本文采用具有正反馈的蚁群算法(ACA)对等效电路的参数进行智能搜索和全局优化。仿真结果表明,在整个EMC频率下,该算法计算出的等效电路阻抗与实验结果相同。为了进一步确认ACA的有效性,进行了PSPICE电路仿真,以仿真等效电路的共模电磁干扰(EMI)频谱。仿真结果与EMI接收器接收到的实验结果非常吻合。因此在高频等效电路分析中充分证明了ACA的正确性。

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