摘要
提出基于牛顿运动模型的电动机瞬时速度观测器,采用传感器低速异步采样法进行脉冲时刻的精准定位和速度观测器的高精度实时反馈校正。为提高低速工况下瞬时速度观测准确度,提出一种适合于轨道交通低开关频率应用场合的逆变器非线性模型误差补偿算法,并基于电动机本体方程提出一种能确保稳定性的次级电阻在线辨识算法。基于某地铁项目自主研发的直线电动机牵引控制系统进行实验验证,实验结果表明了所提算法的正确性和有效性。
An instantaneous speed observer based on the Newton motion model is proposed in this paper. The sensor low-speed asynchronous sampling method is used to get the time exactly and the speed observer is corrected precisely in real time. In order to improve the accuracy of the speed observer at low speed, an inverter nonlinear error compensation modelsuitable for low switching frequency in railway application is proposed. Furthermore, based on the motor equation, an online estimation methodfor the secondary resistance is present to ensure the stability. All of the algorithms are tested in one real self-development metro line. And the experimental results show that the proposed methods are right and effective.
出处
《电工技术学报》
EI
CSCD
北大核心
2015年第21期161-169,共9页
Transactions of China Electrotechnical Society
关键词
直线感应电动机
速度检测
逆变器非线性
次级电阻辨识
Linear induction motor, speed detection, inverter nonlinearity, secondary resistance estimation
