Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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基于微分型MRAS模型的速度估算方法

来源:电工电气发布时间:2016-11-18 09:18 浏览次数:9
基于微分型MRAS模型的速度估算方法
 
曾树华1,吕敬祥2,聂小武1,3
(1 湖南铁路科技职业技术学院,湖南 株洲 412006; 2 中国科学院电工研究所,北京 100190; 3 中南大学 信息科学与工程学院,湖南 长沙 410016)
 
    摘 要:模型参考自适应(MRAS) 方法一般采用电压模型来进行磁链估计,但电压模式的纯积分环节的直流分量一直困扰着MRAS 方法在低速时的控制性能。对电压模型进行了改进,把输入改为磁链,输出改为电压,然后把计算的电压与测量电压进行比较从而校正转速,彻底解决了电压模型的积分问题。利用Simulink 搭建仿真模型分别在高、低速进行转速仿真实验,证明了该模型的观测转速效果好。
    关键词:速度估算;模型参考自适应;积分误差;电压模型
    中图分类号:TM301.2     文献标识码:A     文章编号:1007-3175(2016)11-0001-04
 
Speed Estimation Method Based on Differential Model
Reference Adaptive Control Model
 
ZENG Shu-hua1, LV Jing-xiang2, NIE Xiao-wu1,3
(1 Hunan Railway College of Science & Technology, Zhuzhou 412006, China;
2 Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China;
3 School of Information Science and Engineering, Central South University, Changsha 410016, China)
 
    Abstract: The model reference adaptive control (MRAS) method is a common method adopting voltage model to carry out flux linkage estimation, but the direct current component of pure integration element in voltage mode always troubles the control performance of MRAS method at low speed. The voltage model was improved, the input was flux linkage and the output was the voltage, then the calculative voltage was compared with the measuring voltage to adjust the rotate speed, completely solving the integral problem of voltage model. Simulink was used to construct the simulation model to carry out simulated experiments at high and low rotate speed, which proves that this model has good effectiveness to observe rotate speed.
    Key words: speed estimation; model reference adaptive control; integration error; voltage model
 
参考文献
[1] MAITI S, CHAKRABORTY C, HORI Y, TA M. Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power[J]. IEEE Transactions on Industrial Electronics,2008,55(2):594-601.
[2] 陈健强,黄劭刚,洪剑锋,等. 基于无速度传感器的异步电机控制方法探讨[J]. 煤矿机械,2015,36(1):121-124.
[3] 宋文祥,周杰. 感应电机磁链观测及矢量控制低速发电运行控制方法综述[J]. 电机与控制应用,2013,40(11):1-7.
[4] 武卯泉, 王军, 李旭霞, 等. 基于模型参考自适应的无速度传感器研究[J]. 电气传动,2008,38(10):13-15.
[5] 王耀南,王辉,邱四海,等. 基于递归模糊神经网络的感应电机无速度传感器矢量控制[J]. 中国电机工程学报,2004,24(5):84-89.
[6] 刘丽娟,童军,乔江,等. 一种在线辨识定子电阻的MRAS转速估算方法[J]. 电机与控制应用,2015,42(10):1-5.
[7] 陈伟昌,王孝洪,田联房. 基于DSP的无速度传感器异步电机矢量控制[J]. 电机与控制应用,2015,42(3):20-23.
[8] 高东龙,何平,王志成. 一种基于MRAS模型的转速估算方法的改进[J]. 组合机床与自动化加工技术,2014(2):1-3.
[9] 曾树华,李目. 基于转子磁链误差的MRAS速度观测器优化设计[J]. 煤矿机械,2016,37(2):5-7.
[10] 黄劭刚,宋凤林,洪剑锋,等. 基于变参数MRAS法的异步电机矢量控制研究[J] . 微特电机,2016,44(2):62-66.
[11] 李彪,李黎川. 基于同步旋转坐标系下矢量旋转的新型磁链算法[J]. 中国电机工程学报,2015,35(5):1421-1429.