电气传动2019，Vol.49Issue(11)：3-7,21,6.DOI:10.19457/j.1001-2095.dqcd18969
基于改进遗传算法的三相感应电机参数估计算法
Parameters Estimation Algorithm of TIM Based on Improved Genetic Algorithm
王珏 1杨文刚2
作者信息
- 1. 山西电力职业技术学院电力工程系,山西 太原030021
- 2. 山西交通职业技术学院工程机械系,山西 太原030031
- 折叠
摘要
Abstract
In order to reduce the measure cost of the three-phase induction moto(r TIM)parameters,a parameters estimation algorithm of TIM based on the improved genetic algorithm was proposed. Firstly,a generalized dynamic model of TIM was constructed,and the station space model of the current and the speed of the three-phase induction motor were constructed. Then,the genetic algorithm was improved,and a function approximator based on the improved genetic algorithm was designed,the curve fitting was realized by the least squares technique. Lastly,several important parameters of TIM was output by the model. The experimental results show that the proposed algorithm can estimate 7 important parameters of TIM effectively,at the same time,it realizes a low estimation error.关键词
三相感应电机/遗传算法/人工智能/最小二乘算法/参数估计技术Key words
three-phase induction moto(r TIM)/genetic algorithm/artificial intelligence/least squares algorithm/parameters estimation technology分类
信息技术与安全科学引用本文复制引用
王珏,杨文刚..基于改进遗传算法的三相感应电机参数估计算法[J].电气传动,2019,49(11):3-7,21,6.
