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首页> 外文期刊>The Open Electrical & Electronic Engineering Journal >Research on AC Asynchronous Motor Vector Control Speed Control SystemBased on Labview
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Research on AC Asynchronous Motor Vector Control Speed Control SystemBased on Labview

机译：基于Labview的交流异步电动机矢量控制调速系统研究。

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During the process of using traditional particle swarm optimization (PSO) to identify electric parameters, thealgorithm can be easily caught in locally optimal solution, thus leading to relatively large identification result error. Therefore,the article proposes a simulated annealing particle swarm optimization (SA-PSO) algorithm to integrate the advantages,namely the strong global optimization capability of simulated annealing (SA) algorithm and the fast convergencespeed of PSO algorithm, in order to improve the traditional PSO algorithm and use simulated annealing principle todetermine inertia weight of PSO algorithm. Meanwhile, DFIG with the unit capacity of 1.5MW has been taken as the researchobject for simulation analysis. The test system employs LabVIEW software for experiment design, and the resultshows: compared with the identification result of traditional PSO algorithm, SA-PSO algorithm can rapidly and accuratelyidentify DFIG electric parameters and the identification result has higher precision.
机译：在使用传统的粒子群优化算法（PSO）识别电参数的过程中，算法容易陷入局部最优解，导致识别结果误差较大。因此，本文提出了一种模拟退火粒子群算法（SA-PSO），以结合传统退火算法的优点，即强大的模拟退火算法（SA）全局优化能力和PSO算法的快速收敛速度等优点。并使用模拟退火原理确定PSO算法的惯性权重。同时，以单机容量为1.5MW的DFIG为仿真分析的研究对象。测试系统采用LabVIEW软件进行实验设计，结果表明：与传统的PSO算法的识别结果相比，SA-PSO算法可以快速，准确地识别DFIG电参数，识别结果具有较高的精度。

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