CN-122018586-A - Magnetostrictive displacement sensor clamping force adjusting method, magnetostrictive displacement sensor clamping force adjusting device, magnetostrictive displacement sensor clamping force adjusting equipment and storage medium

CN122018586ACN 122018586 ACN122018586 ACN 122018586ACN-122018586-A

Abstract

The invention provides a method, a device, equipment and a storage medium for adjusting the clamping force of a magnetostrictive displacement sensor, and relates to the field of sensor regulation and control. The method comprises the steps of obtaining working parameters of a magnetostrictive displacement sensor, wherein the working parameters comprise target clamping force, actual measurement clamping force and output displacement of the magnetostrictive displacement sensor, determining predicted clamping force of the magnetostrictive displacement sensor based on a long-short-period memory network model of physical constraint according to the working parameters, calculating fusion clamping force according to the actual measurement clamping force and the output displacement, determining clamping force adjusting quantity of the magnetostrictive displacement sensor according to the target clamping force, the predicted clamping force and the fusion clamping force, and carrying out feedback adjustment on the clamping force of the magnetostrictive displacement sensor through a piezoelectric ceramic driver based on the clamping force adjusting quantity. The invention can improve the accuracy and stability of the control of the clamping force of the magnetostrictive displacement sensor.

Inventors

HUO YANMING
GAO JIALI
ZHAN CHAOYUE
GAO WEIZHE
SUN HAOTIAN

Assignees

河北科技大学

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method of adjusting a clamping force of a magnetostrictive displacement sensor, comprising: acquiring working parameters of a magnetostrictive displacement sensor, wherein the working parameters comprise target clamping force, actual measurement clamping force and output displacement of the magnetostrictive displacement sensor; according to the working parameters, determining the predicted clamping force of the magnetostrictive displacement sensor based on a long-term and short-term memory network model of physical constraint; Calculating a fusion clamping force according to the actually measured clamping force and the output displacement; Determining a clamping force adjustment amount of the magnetostrictive displacement sensor according to the target clamping force, the predicted clamping force and the fusion clamping force; and based on the clamping force adjustment quantity, the clamping force of the magnetostrictive displacement sensor is subjected to feedback adjustment through a piezoelectric ceramic driver.
2. The method for adjusting the clamping force of the magnetostrictive displacement sensor according to claim 1, wherein the operating parameters further comprise a material parameter of the measured object and a real-time temperature; the method for determining the predicted clamping force of the magnetostrictive displacement sensor based on the long-term and short-term memory network model of physical constraint according to the working parameters comprises the following steps: and inputting the output displacement, the real-time temperature, the actually measured clamping force and the material parameters of the measured object into a pre-trained long-short-period memory network model, and correcting the clamping force output by the long-short-period memory network model according to physical constraint conditions to obtain the predicted clamping force.
3. The method for adjusting the clamping force of the magnetostrictive displacement sensor according to claim 2, wherein the physical constraint conditions comprise mechanical property constraint of the magnetostrictive displacement sensor, output force range constraint of the piezoelectric ceramic driver and material property constraint of the measured object; the mechanical property constraint of the magnetostrictive displacement sensor is used for constraining the clamping force output by the long-short-period memory network model to be in the allowable clamping force range corresponding to the mechanical property of the magnetostrictive displacement sensor; The output force range constraint of the piezoelectric ceramic driver is used for constraining the clamping force output by the long-short-period memory network model to be between the maximum value and the minimum value of the output force of the piezoelectric ceramic driver; And the material performance constraint of the measured object is used for constraining the deformation quantity of the measured object to be smaller than a deformation quantity preset threshold under the action of the clamping force output by the long-short-period memory network model.
4. The magnetostrictive displacement sensor clamping force adjustment method of claim 1, wherein the calculating a fusion clamping force based on the measured clamping force and the output displacement comprises: Acquiring the equivalent rigidity of the measuring system, and determining an equivalent clamping force according to the equivalent rigidity and the output displacement; Performing temperature compensation on the equivalent clamping force according to the real-time temperature to obtain a displacement clamping force; and calculating the weighted sum of the displacement clamping force and the actually measured clamping force to obtain the fusion clamping force.
5. The magnetostrictive displacement sensor clamping force adjustment method according to claim 1, characterized in that the determining the clamping force adjustment amount of the magnetostrictive displacement sensor based on the target clamping force, the predicted clamping force, and the fusion clamping force includes: calculating a measured deviation between the target clamping force and the fusion clamping force and a predicted deviation between the target clamping force and the predicted clamping force respectively by taking the target clamping force as a reference; and calculating the weighted sum of the measured deviation and the predicted deviation according to the preset deviation adjusting weight to obtain the clamping force adjusting quantity.
6. The magnetostrictive displacement sensor clamping force adjustment method according to any one of claims 1 to 5, characterized in that the feedback adjustment of the clamping force of the magnetostrictive displacement sensor by a piezoceramic actuator based on the clamping force adjustment amount, comprising: Determining a PID control signal of the piezoelectric ceramic driver according to the clamping force adjustment quantity; And controlling the piezoelectric ceramic driver to perform feedback adjustment on the clamping force of the magnetostrictive displacement sensor through the PID control signal of the piezoelectric ceramic driver.
7. A magnetostrictive displacement sensor clamping force adjustment method according to any of claims 1-5, characterized in that the method further comprises: And performing incremental training on the long-short-period memory network model by taking the operation parameters in the preset time as new samples at intervals of the preset time, and updating the weight parameters of the model.
8. A magnetostrictive displacement sensor clamping force adjustment apparatus, comprising: the parameter acquisition module is used for acquiring working parameters of the magnetostrictive displacement sensor, wherein the working parameters comprise target clamping force, actual measurement clamping force and output displacement of the magnetostrictive displacement sensor; The clamping force prediction module is used for determining the predicted clamping force of the magnetostrictive displacement sensor based on the long-term and short-term memory network model of physical constraint according to the working parameters; the fusion calculation module is used for calculating fusion clamping force according to the actually measured clamping force and the output displacement; The clamping force adjusting module is used for determining the clamping force adjusting quantity of the magnetostrictive displacement sensor according to the target clamping force, the predicted clamping force and the fusion clamping force, and carrying out feedback adjustment on the clamping force of the magnetostrictive displacement sensor through the piezoelectric ceramic driver based on the clamping force adjusting quantity.
9. An electronic device comprising a memory storing a computer program and a processor implementing the method of any of claims 1 to 7 when the computer program is executed by the processor.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the method according to any one of claims 1 to 7.

Description

Magnetostrictive displacement sensor clamping force adjusting method, magnetostrictive displacement sensor clamping force adjusting device, magnetostrictive displacement sensor clamping force adjusting equipment and storage medium Technical Field The invention relates to the field of sensor regulation and control, in particular to a method, a device, equipment and a storage medium for regulating the clamping force of a magnetostrictive displacement sensor. Background The magnetostriction displacement sensor has wide measuring range, high response speed and strong anti-interference capability, and is widely applied to the fields of precision manufacture, material detection, petrochemical industry and the like. The measurement accuracy is directly related to the stability of the clamping force, the measured object is easily offset due to the fact that the clamping force is too small, the deformation of the object or the loss of a sensor can be caused due to the fact that the clamping force is too large, and measurement errors can be caused. In the prior art, the clamping force control mainly depends on manual adjustment or adopts a simple linear model based on an empirical formula for adjustment and control. The manual adjustment efficiency is low, human errors are easy to introduce, and the nonlinear changes caused by multiple factors such as different material parameters, environmental temperature fluctuation and the like are difficult to accurately cope with by a simple linear model. The existing scheme is difficult to meet the high-precision regulation and control requirements of industrial scenes on the magnetostrictive displacement sensor. Disclosure of Invention In view of the above, the embodiments of the present invention provide a method, an apparatus, a device, and a storage medium for adjusting a clamping force of a magnetostrictive displacement sensor, so as to improve the accuracy of controlling the clamping force of the magnetostrictive displacement sensor. In a first aspect, an embodiment of the present invention provides a method for adjusting a clamping force of a magnetostrictive displacement sensor, including: acquiring working parameters of a magnetostrictive displacement sensor, wherein the working parameters comprise target clamping force, actual measurement clamping force and output displacement of the magnetostrictive displacement sensor; according to the working parameters, determining the predicted clamping force of the magnetostrictive displacement sensor based on a long-term and short-term memory network model of physical constraint; Calculating a fusion clamping force according to the actually measured clamping force and the output displacement; Determining a clamping force adjustment amount of the magnetostrictive displacement sensor according to the target clamping force, the predicted clamping force and the fusion clamping force; and based on the clamping force adjustment quantity, the clamping force of the magnetostrictive displacement sensor is subjected to feedback adjustment through a piezoelectric ceramic driver. In one possible implementation, the working parameters further include a material parameter and a real-time temperature of the measured object; the method for determining the predicted clamping force of the magnetostrictive displacement sensor based on the long-term and short-term memory network model of physical constraint according to the working parameters comprises the following steps: and inputting the output displacement, the real-time temperature, the actually measured clamping force and the material parameters of the measured object into a pre-trained long-short-period memory network model, and correcting the clamping force output by the long-short-period memory network model according to physical constraint conditions to obtain the predicted clamping force. In one possible implementation, the physical constraint conditions include a magnetostriction displacement sensor mechanical property constraint, a piezoelectric ceramic driver output force range constraint and a measured object material property constraint; the mechanical property constraint of the magnetostrictive displacement sensor is used for constraining the clamping force output by the long-short-period memory network model to be in the allowable clamping force range corresponding to the mechanical property of the magnetostrictive displacement sensor; The output force range constraint of the piezoelectric ceramic driver is used for constraining the clamping force output by the long-short-period memory network model to be between the maximum value and the minimum value of the output force of the piezoelectric ceramic driver; And the material performance constraint of the measured object is used for constraining the deformation quantity of the measured object to be smaller than a deformation quantity preset threshold under the action of the clamping force output by the long-short-period memory ne