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Alternative TitleSpeed and Load Torque Estimation of Induction Motors Based on Adaptive Kalman Filtering
于洪霞; 胡静涛
Source Publication数据采集与处理
Indexed ByCSCD
Contribution Rank2
Funding Organization国家高技术研究发展计划(“八六三”计划)(2008AA042901)资助项目; 中国科学院知识创新工程重要方向性项目(KGCX2-EW-104)资助项目
Keyword异步电机 自适应尔曼滤波 转速 负载转矩
Abstract针对常规EKF估计结果受给定的噪声协方差阵影响较大的问题,提出了一种基于自适应卡尔曼滤波(Adaptive Kalman filtering,AEKF)来同时估计电机转速和负载转矩的方法。在用AEKF估计转速和负载转矩时,根据AEKF的要求,将电机增广随机数学模型的输入噪声与建模误差引入的噪声直接合并,等效为状态噪声;基于变换后的模型,利用状态预测残差估计状态噪声协方差阵,利用观测残差估计观测噪声协方差阵,实现了噪声协方差阵自适应变化。实验结果表明:所提方法的估计结果基本不受给定的噪声协方差阵初值影响,且能以较高的精度估计出电机的转速和负载转矩。
Other AbstractFor dealing with the problem that the estimate result of EKF is severely affected by the covariance matrices of noises, a new method is presented, using adaptive Kalman filter ( AEK F) to estimate the lo ad torque and the speed o f mo to r simultaneously . When the speed and load torque are estimated, the input noise and the noise introduced by modeling error are merged into an equivalent state noise in the augmented model of motor. Based on the transformed model, the covariance matrices of state noises are estimated by using state prediction residuals and the covariance matrices of observation noises are estimated using the measure residuals, then the adaptive diversification of the covariance matrices of noises are implemented. Experimental result s show that the estimation result s are hardly affected by the given initial value of the covariance matrices of noises, and they have high accuracies.
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GB/T 7714
于洪霞,胡静涛. 基于自适应卡尔曼滤波的异步电机转速和负载转矩估计[J]. 数据采集与处理,2012,27(5):552-558.
APA 于洪霞,&胡静涛.(2012).基于自适应卡尔曼滤波的异步电机转速和负载转矩估计.数据采集与处理,27(5),552-558.
MLA 于洪霞,et al."基于自适应卡尔曼滤波的异步电机转速和负载转矩估计".数据采集与处理 27.5(2012):552-558.
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