摘要
提出了一种使用优化的细菌觅食算法估算电机的现场效率。该方法虽然有赖于测量定子电流、定子电压、定子电阻、输入功率和电机速度,从而基于电机的等效电路估算电机效率,但无需进行空载和堵转试验。对1台5.5 kW的异步电动机进行了试验,测试结果与粒子群优化算法、遗传算法以及实测的转矩测量法进行了比较,结果表明该方法能较准确地估计电机效率,并且简单、经济。
Using bacterial foraging algorithm of optimized, a method to estimate efficiency of induction motor is presented. It relies on measuring the stator current, the stator voltage, stator resistance, the power input and the motor speed, without the need for no-load and locked-rotor test. Through a 5.5 kW induction motor test, the results and other industry better algorithms are compared, including the particle swarm optimization algorithm, immune algorithm, as well as the measured torque gauge method. The results show that the method can estimate the motor efficiency accurately, and is simple and low cost.
出处
《计量学报》
CSCD
北大核心
2017年第2期215-219,共5页
Acta Metrologica Sinica
基金
浙江省公益技术应用研究(工业)项目(2015C31119)
关键词
计量学
异步电动机
细菌觅食算法
等效电路
现场效率估算
metrology
induction motor
bacterial foraging algorithm
equivalent circuit
in-situ efficiency estimate
