摘要
采用机理与数据相结合的建模方法对永磁同步电动机进行分数阶时域和频域建模.在分数阶时域建模方法中,设计伪随机激励信号,获取实时实验数据并采用输出误差辨识算法来获取分数阶阶次;在分数阶频域建模方法中,由实时实验数据绘制出电动机的对数频率特性曲线.采用分数阶频域建模中经典Levy辨识算法,利用加权函数加以改进,得到永磁同步电动机分数阶模型辨识结果.最后通过对两种方法得到的结果进行对比表明了所提出模型的可靠性.
Fractional-order modeling for permanent magnet synchronous motor is presented by adopting the combination of mechanism and data in time and frequency domain.The pseudo-random signals is designed to obtain real-time experiment data and numerical fitting to get the fractional order.Then data modeling is realized by using the output-error identification algorithm of the fractional-order system.An enhancement of the classic Levy identification method with weights is applied in the frequency domain.In a real-time permanent magnet synchronous motor plant,the fractional order model is identified according to the experimental tests by using the presented algorithm.The results are compared with two methods of fractional-order modeling,which show the reliability of the results.
出处
《控制与决策》
EI
CSCD
北大核心
2015年第9期1546-1550,共5页
Control and Decision
基金
广东省教育部产学研结合项目(2009B090300269)
关键词
分数阶
建模
永磁同步电动机
输出误差辨识算法
fractional
modeling
permanent magnet synchronous motor
output-error algorithm