A Cam Motion Curve Identification Method Based on Multi-order Correlation Analysis

Abstract

The invention discloses a globoidal cam motion curve identification method based on multi-order correlation analysis. The globoidal cam motion curve identification method includes: (1) identifying a globoidal cam motion curve; (2) performing correlation analysis on obtained globoidal cam motion acquisition data, fitting an actual motion curve, and determining similarity of the globoidal cam actual motion curve and an ideal motion law; and (3) performing multi-order correlation analysis on the obtained globoidal cam motion acquisition data, performing correlation analysis on a first-order derivative, a second-order derivative and a multi-order derivative of a globoidal cam motion law and the ideal motion law, obtaining correlation coefficients of the position, the speed and the accelerated speed of the actual motion curve of the globoidal cam on the globoidal cam and similar morphology categories of the actual motion curve of the globoidal cam, and finally identifying the actual motion curve the globoidal cam. The globoidal cam motion curve identification method based on the multi-order correlation analysis facilitates improvement of position accuracy of a mechanical motion mechanism in the mechanical industry, facilitates improvement of the speed and the accelerated speed of the mechanical motion mechanism, and further improves motion stability.

Description

technical field [0001] The invention belongs to the design field of arc cam motion laws in the processing process, and relates to an arc cam motion curve identification method based on multi-order correlation analysis. Background technique [0002] In the field of mechanical engineering, arc cam is one of the key parts to realize mechanical movement, and its motion curve is the basis for ensuring the accuracy and stability of arc cam movement. Therefore, various arc cam manufacturers and researchers have conducted a lot of research on this. theoretical research and experiments. [0003] The motion curve identification of arc cam is mainly to invert the motion law of arc cam to obtain the mathematical expression of motion law. However, the existing data fitting and curve correlation analysis researches all focus on the one-time fitting or correlation analysis of various curves. The existing identification methods use the least square method to directly perform curve fitting....

AI Technical Summary

Problems solved by technology

However, the existing data fitting and curve correlation analysis researches all focus on the one-time fitting or correlation analysis of various curves. The existing identification methods use the least squares method to directly perform curve fitting. It is very correlated with a variety of motion curves, and the correlation coefficients are close to 1, making it impossible to distinguish

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