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A Run-time Estimate Method of Measurement Error Variance for Kalman Estimator

机译:卡尔曼估计器测量误差方差的运行时间估计方法

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摘要

In this paper, an estimate method of control system measurement error variance for Kalman estimator at run-time is proposed. In general, control system''s measurement error variance is measured [7] by some measuring instruments or tuned [7] after implementation of Kalman estimator, but the precise measuring the control system measurement error variance is too hard. Moreover, even though we could tune the measurement error variance value, it could not deal with changes of system measurement error variance because of the phenomena of aging of system sensors or unpredictable external disturbances. So we introduce a method to estimate measurement error variance of the system for Kalman estimator at run-time to improve the performance of the estimator. Also a simple simulation and experimental result will be presented to show the effect of the proposed method.
机译:本文提出了一种在运行时Kalman估计器的控制系统测量误差方差的估计方法。通常,通过一些测量仪器或调谐的测量仪器或调谐在实施卡尔曼估计器之后测量控制系统的测量误差方差,但是精确测量控制系统测量误差方差太硬。此外,即使我们可以调整测量误差方差值,它可能无法处理系统测量误差方差的变化,因为系统传感器老化的现象或不可预测的外部干扰。因此,我们介绍了一种方法来估算运行时估算Kalman估计系统的系统的测量误差方差,以提高估计器的性能。还提出了简单的模拟和实验结果以显示所提出的方法的效果。

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