A Digital Velocimetry Method Based on Median Average Filter

Abstract

The invention belongs to the field of the digital speed measuring technology and particularly relates to a median-value average filtering principle-based digital speed measuring method, wherein a speed feedback value is resolved based on the displacement. According to the median-value average filtering principle-based digital speed measuring method provided in the invention, firstly, the number N0of sampling points is selected, and a median-value average filtering-based digital speed measuring scheme is determined. The speed measuring scheme is subjected to mathematical simulation test. In this way, whether the signal characteristic and the phase margin characteristic of the speed measuring scheme meet the requirements at the same time or not can be verified. After that, the entity test is carried out on a motor connected with an absolute displacement sensor, wherein whether the characteristic of the speed feedback signal of the motor and the characteristic of the phase margin of thecontrol loop meet the requirements at the same time or not are verified. According to the invention, the method overcomes the defects of a traditional method in an initial operation stage and reducesthe resolution error. Meanwhile, the introduced phase lag is reduced. The control characteristic in the initial acceleration stage is improved. The method is suitable in all application scenes whereincorresponding speeds need to be resolved by using linear displacement values or angular displacement measurement values. The method has great practical engineering application value.

Description

technical field [0001] The invention belongs to digital speed measurement technology, in particular to a digital speed measurement method based on the principle of median average filtering and calculating speed feedback value by displacement. Background technique [0002] Traditional digital speed measurement generally adopts T method speed measurement, M method speed measurement and M / T method speed measurement, because the above methods are all suitable for incremental displacement sensors, and in displacement measurement, if an absolute displacement sensor is selected, it needs to be further converted to incremental displacement. If the signal noise in the absolute displacement sensor is large, the converted incremental displacement error is large, and it is difficult to meet the measurement accuracy requirements. [0003] To solve the problem of large signal noise, the median average filtering algorithm is introduced to remove noise. However, the speed error calculated ...

AI Technical Summary

Problems solved by technology

If the signal noise in the absolute displacement sensor is large, the converted incremental displacement error is large, and it is difficult to meet the measurement accuracy requirements

[0003] In order to solve the problem of large signal noise, the median average filter algorithm is introduced to remove noise, but the speed error calculated by the traditional median average digital filter speed measurement algorithm is relatively large, and the phase lag of the introduced velocity feedback is relatively large, which leads to the algorithm The reduced phase margin of the

Therefore, the control amount in the initial acceleration stage is relatively large, and the control effect is poor.

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