CN-122018469-A - Online quality control method and system in actuator production process

CN122018469ACN 122018469 ACN122018469 ACN 122018469ACN-122018469-A

Abstract

The invention belongs to the technical field of production quality control, and particularly relates to an online quality control method and system in the production process of an actuator, wherein the method comprises the steps of obtaining a current sequence, a displacement deviation sequence and a real-time speed sequence of the actuator in a complete test period; the method comprises the steps of obtaining a hysteresis coefficient of an actuator by combining a reference current parameter and a maximum travel parameter, obtaining a viscous slip index by combining a speed inhibition factor determined by a real-time speed sequence, obtaining a distance adjustment weight by extracting hysteresis characteristics and degradation characteristics of a target sample and the reference sample, correcting Euclidean distance by the distance adjustment weight to obtain a working condition distance, obtaining a quality abnormality index according to the working condition distance, and determining an online quality control result. According to the invention, the space distance is adjusted through the distance adjusting weight, the quality abnormality index is obtained, and the accuracy of detecting the hidden defect of the actuator under the complex working condition is improved.

Inventors

LU HEJUN
ZHANG YINSHU
Bai Yuanren

Assignees

东莞皓永汽车配件有限公司

Dates

Publication Date: 20260512
Application Date: 20260317

Claims (10)

1. An on-line quality control method in an actuator production process, comprising: acquiring a current sequence, a displacement deviation sequence and a real-time speed sequence of the actuator in a complete test period, and acquiring a hysteresis coefficient of the actuator at each sampling point according to the ratio of current data in the current sequence to a reference current parameter and the ratio of data in the displacement deviation sequence to a maximum stroke parameter; The method comprises the steps of calculating the absolute value of a difference value between a sampling point and a previous sampling point on a hysteresis coefficient, obtaining a speed inhibition factor according to the ratio of speed data in a real-time speed sequence to a maximum speed parameter, obtaining the viscous slip index of an actuator at each sampling point according to the absolute value of the difference value and the speed inhibition factor, calculating the mean value of a current sequence and a displacement deviation sequence, constructing a target feature vector, taking the mean value of the hysteresis coefficient of the actuator as a target hysteresis feature, taking the maximum value of the viscous slip index of the actuator as a target degradation feature, obtaining the Euclidean distance between the target feature vector and a corresponding reference feature vector of a sample in a reference qualified sample library, extracting the maximum value between the target hysteresis feature and the reference hysteresis feature of the sample, extracting the maximum value between the target degradation feature and the reference degradation feature of the sample, wherein the reference hysteresis feature is the mean value of the hysteresis coefficient of the sample, the reference degradation feature is the maximum value of the viscous slip index of the sample, obtaining a distance adjustment weight based on the two maximum values, obtaining a working condition distance according to the Euclidean distance and the distance adjustment weight, and carrying out on-line quality control of the actuator.
2. The method for controlling the on-line quality in the production process of the actuator according to claim 1 is characterized in that the method for acquiring the current sequence, the displacement deviation sequence and the real-time speed sequence of the actuator in a complete test period comprises the steps of acquiring an instruction displacement sequence issued by a control system and acquiring an actual displacement sequence of the actuator by using a displacement sensor, calculating an absolute value of a displacement difference value between the instruction displacement sequence and the actual displacement sequence at a corresponding sampling time to construct the displacement deviation sequence, calculating an absolute value of a difference value of actual displacement data corresponding to a current sampling point and an immediately previous sampling point in the actual displacement sequence, dividing the absolute value of the difference value by a sampling time interval to acquire the real-time speed sequence, and acquiring the current sequence.
3. The on-line quality control method for an actuator production process according to claim 1, wherein the method further comprises the steps of controlling the actuator to perform full-stroke no-load reciprocating motion, recording a difference value between a maximum displacement extremum and a minimum displacement extremum output by a displacement sensor, taking the difference value as a maximum stroke parameter, recording a maximum safe current allowed in a calibration process, and taking the maximum safe current as the reference current parameter according to a ratio of current data in a current sequence to a reference current parameter and a ratio of data in a displacement deviation sequence to a maximum stroke parameter.
4. The method for on-line quality control in an actuator manufacturing process according to claim 1, wherein the hysteresis coefficient satisfies the relationship: ; In the formula, Is the first The hysteresis coefficients of the individual sample points, Is the first in the current sequence The current data of the individual sampling points, As a parameter of the reference current, Is the first in the displacement deviation sequence The deviation data of the individual sampling points, In order to be a parameter of the maximum travel, As a function of the sigmoid, Is a sensitivity gain factor.
5. The method of on-line quality control during actuator production of claim 1, wherein the stick slip index satisfies the relationship: ; In the formula, Is the first The viscous slip index of the individual sample points, Is the first The hysteresis coefficients of the individual sample points, Is the first The hysteresis coefficients of the individual sample points, Is the first in the real-time velocity sequence The velocity of the individual sampling points is such that, As a parameter of the maximum speed, As an exponential function based on natural constants, Is the velocity modulation factor.
6. The method for on-line quality control in an actuator production process according to claim 1, wherein the obtaining the distance adjustment weight includes extracting a maximum value of a reference hysteresis feature corresponding to the target hysteresis feature and the sample and a maximum value of a reference degradation feature corresponding to the target degradation feature and the sample, and obtaining the distance adjustment weight according to a sum of the extracted two maximum values.
7. The method for on-line quality control during production of an actuator of claim 1, wherein the operating distance satisfies the relationship: ; In the formula, Is the first sample in the qualified sample library of the actuator and the reference The working condition distance between the samples, Is the target feature vector and the first in the standard qualified sample library Euclidean distances between reference feature vectors of the individual samples, As an exponential function based on natural constants, As a function of the maximum value, As a result of the characteristic of the target hysteresis, Is the standard qualified sample library The reference hysteresis characteristics corresponding to the individual samples, As a characteristic of the degradation of the object, Is the standard qualified sample library The reference degradation characteristic corresponding to each sample, Is the coefficient of expansion of the static distance, Is the dynamic distance expansion coefficient.
8. The on-line quality control method in the production process of the actuator according to claim 1 is characterized in that the obtaining of the quality abnormality index of the actuator according to the working condition distance comprises the steps of selecting samples in a standard qualified sample library with the nearest preset number to the actuator to construct a neighbor set according to the sequence from small working condition distances between the actuator and the samples in the standard qualified sample library to large working condition distances, and taking the average value of the working condition distances between the actuator and all the samples in the neighbor set as the quality abnormality index.
9. The method for on-line quality control of an actuator according to claim 1 or 8, wherein the performing on-line quality control of the actuator includes determining that the actuator has an internal stuck or damping defect in response to a quality abnormality index being greater than or equal to a preset rejection threshold, outputting an abnormal level signal to a production line control system to trigger a rejection action, and determining that the actuator is a good in response to the quality abnormality index being less than the preset rejection threshold.
10. An on-line quality control system in the production of an actuator, comprising a processor and a memory, the memory storing computer program instructions which, when executed by the processor, implement an on-line quality control method in the production of an actuator according to any one of claims 1-9.

Description

Online quality control method and system in actuator production process Technical Field The invention relates to the technical field of production quality control. More particularly, the invention relates to an on-line quality control method and system in the production process of an actuator. Background The actuator is used as a core actuating mechanism of an industrial control and automation system, plays an important role in the fields of precision manufacture, aerospace and the like, and physical problems such as invasion of internal foreign matters or interference of assembly of a sealing ring and the like often occur in the process of machining, assembling and running of the actuator, and the problems can cause sudden increase of local running resistance and induce jamming of mechanical transmission parts, so that on-line quality control and defect detection of the actuator are particularly important for guaranteeing safe and stable running of industrial equipment. In the related art, a machine learning clustering method based on running resistance threshold judgment or density is generally adopted, and the method is mainly used for monitoring the absolute value of resistance by collecting resistance related data in the running process of an actuator, or extracting multi-dimensional running data construction characteristics and calculating Euclidean distance in a pure mathematical space so as to realize classification judgment of normal parts and defective parts. However, the above detection methods have specific physical limitations in a practically complex production line environment. On the one hand, when the environmental temperature of the production line changes globally, the thermal expansion and contraction and the change of the physical characteristics of the internal lubricating medium can lead to the integral deviation of basic friction characteristics of all actuator samples, and the traditional clustering method is very easy to cause topological clustering separation failure because the traditional clustering method only depends on Euclidean distance of a pure mathematical space and cannot resist the environmental global temperature disturbance. On the other hand, the typical physical phenomenon caused by foreign matter interference in the actuator or abrasion of a sealing ring is viscous slip, and the characteristic is characterized by sudden sliding after a mechanical part is clamped with a storage force, and is extremely easy to induce under a low-speed working condition, and tiny fluctuation under a high-speed working condition is mostly inertial noise of the system. The conventional technology only pays attention to the absolute value of resistance, ignores the physical response difference of step characteristics along with the running speed gradient caused by the friction abrupt change, and causes the normal tightening caused by assembly tolerance and the viscous slip friction abrupt change with early failure risk to be difficult to effectively distinguish. Disclosure of Invention In order to solve the technical problems that the characteristic shift is caused by global change of the environment temperature of the production line to cause the failure of topological clustering and the normal deviation and viscous slip defects are difficult to distinguish due to the interference of the operating speed gradient, the invention provides the scheme in the following aspects. In a first aspect, the invention provides an online quality control method in a production process of an actuator, which comprises the steps of obtaining a current sequence, a displacement deviation sequence and a real-time speed sequence of the actuator in a complete test period, obtaining a hysteresis coefficient of the actuator at each sampling point according to the ratio of current data in the current sequence to a reference current parameter and the ratio of data in the displacement deviation sequence to a maximum travel parameter, calculating the absolute value of a difference value between the sampling point and the previous sampling point on the hysteresis coefficient, obtaining a speed inhibition factor according to the ratio of speed data in the real-time speed sequence to a maximum speed parameter, obtaining a viscous slip index of the actuator at each sampling point according to the absolute value of the difference value and the speed inhibition factor, calculating the mean value of the current sequence to the displacement deviation sequence, taking the mean value of the hysteresis coefficient of the actuator as a target hysteresis feature, taking the maximum value of the viscous slip index of the actuator as a target degradation feature, obtaining the Euclidean distance between the target hysteresis feature and the reference hysteresis feature of a sample in a reference qualified sample library, extracting the maximum value between the target hysteresis feature and the reference hysteresis feature of the