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This paper presents a kind of self-tuning filter in the colored noise environment when the noise variance is unknown. The main method of this filter is whitening the colored noise, and the correlation function is used to get the estimations of the variance of the noise. An example for the target tracking system is presented to design the self-tuning filter for the position and velocity, the simulating...
The disturbance voltage of voltage-source inverter operation exerts significant influences on the accuracy of motor parameter identification. In this paper, an accurate model is established for estimating the disturbance voltage that includes current harmonics and their derivative. The conclusion is drawn that the derivative of the d -axis current harmonics plays a major role in causing estimation...
In this paper, we propose an efficient and robust gross outlier removal method, called the Conceptual Space based Gross Outlier Removal (CSGOR) method, to remove gross outliers for geometric model fitting. In the proposed method, each data point is mapped to a conceptual space by computing the preference of "good" model hypotheses. In the conceptual space, the distributions of inliers and...
In order to improve the speed measurement performance of low speed PMSM drives equipped with absolute optical encoders, this paper proposes a speed measurement method based on overlapped measurement regions. The proposed method replaces the long measurement region of the conventional backward differentiation method with several short ones which are overlapped at most regions. In one speed measurement...
Hierarchical time series (HTS) is a special class of multivariate time series where many related time series are organized in a hierarchical tree structure and they are consistent across hierarchy levels. HTS modeling is crucial and serves as the basis for business planning and management in many areas such as manufacturing inventory, energy and traffic management. However, due to machine failures,...
Probabilistic distribution parameters of wind speed in wind farms are quite important to the wind energy statistical characteristics. Based on the rule that the probabilistic distribution of wind speed obeys the dual parameters Weibull distribution, three different methods including least-square method, average wind speed and standard deviation estimation, and average wind speed and maximum wind speed...
Aiming at the difficulties of blind doppler parameters estimation for QAM signals in the satellite communication on-the-move (SCOTM) system, a new joint algorithm of blind doppler frequency and doppler-rate estimation based on cyclic-statistical tests and phase difference is proposed. By detecting one of the cyclic frequencies of QAM signals, located at the quartic frequency offset, doppler frequency...
This paper deals with a practical sensorless control method for doubly-fed-induction-generator based wind power generation systems. The speed estimator is based on a novel control scheme called active disturbance rejection control. Encouraging simulation results have been obtained.
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