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Application of Evolutionary Algorithms with Adaptive Mutation to the Identification of Induction Motor Parameters at Standstill

机译:进化算法在静止静脉间突变中的应用

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In this paper the application of evolutionary algorithms to the identification of induction motor equivalent circuit parameters at standstill is presented. In order to improve the time efficiency of the identification procedure, the adaptive mutation mechanism is introduced to the evolutionary algorithm. Few versions of the adaptive mutation mechanisms are investigated and evaluated in simulations. By employing the adaptive mutation the significant reduction of the processing time has been obtained while the required accuracy of the algorithm has not been deteriorated. The results of simulation are verified and confirmed in the experimental tests.
机译:本文介绍了进化算法在静止时识别进差电机等效电路参数的应用。为了提高识别过程的时间效率,将自适应突变机制引入进化算法。在模拟中研究和评估了很少的自适应突变机制的版本。通过采用自适应突变,已经获得了处理时间的显着降低,而算法的所需精度尚未恶化。在实验测试中验证并确认模拟结果。

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