Vehicle multi-dimensional force sensor decoupling method based on PSO optimized LSSVM

A multi-dimensional force sensor and sensor technology, which is applied in the direction of instruments, measuring force components, force/torque/power measuring instrument calibration/testing, etc., can solve problems affecting sensor measurement accuracy, local optimal solution, and low numerical accuracy

Inactive Publication Date: 2020-07-07
JINLING INST OF TECH
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the integrated elastic body structure of the vehicle multi-dimensional force sensor and the error in the manufacturing process, there is an inevitable coupling on the conversion channels of the sensor in different dimensions, that is, inter-dimensional coupling, which seriously affects the sensor. Therefore, it is very important to decouple the multi-dimensional force sensor for vehicles
The de

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle multi-dimensional force sensor decoupling method based on PSO optimized LSSVM
  • Vehicle multi-dimensional force sensor decoupling method based on PSO optimized LSSVM
  • Vehicle multi-dimensional force sensor decoupling method based on PSO optimized LSSVM

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0043] The present invention provides a vehicle multi-dimensional force sensor decoupling method based on PSO optimized LSSVM, establishes a least squares support vector machine decoupling model, and uses PSO (particle swarm algorithm) to globally search for optimal characteristics to optimize the least squares support vector machine parameters, so that the least square support vector machine decoupling model has good convergence and adaptability, so that the multi-dimensional force sensor has better measurement accuracy, so as to meet the actual application requirements.

[0044] As an embodiment of the present invention, a schematic diagram of a decoupling method for calibration and decoupling of a vehicle multi-dimensional force sensor based on a PSO-optimized least squares support vector machine, figure 2 A schematic diagram of the training...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a vehicle multi-dimensional force sensor decoupling method based on a PSO optimized LSSVM, which comprises the steps of 1, acquiring calibration data of a vehicle multi-dimensional force sensor; 2, building a least square support vector machine model for decoupling of the vehicle multi-dimensional force sensor; and 3, optimizing and training a PSO algorithm to obtain an optimal vehicle multi-dimensional force sensor decoupling model. According to the invention, the least square support vector machine decoupling model is established, and the PSO (particle swarm optimization) is used to globally search the optimal characteristic to optimize the parameters of the least square support vector machine, so that the least square support vector machine decoupling model has good convergence and adaptability, and the multi-dimensional force sensor has good measurement precision to meet the actual application requirements.

Description

technical field [0001] The invention relates to the field of methods related to multidimensional force sensors, in particular to a decoupling method for vehicle multidimensional force sensors based on PSO optimized LSSVM. Background technique [0002] During the actual driving process of the car, the wheels are affected by six-dimensional forces (lateral force, vertical force, longitudinal force, roll moment, yaw moment, torque), these forces are important for the monitoring of the driving state of the car and the control of the vehicle. important. The traditional method uses single-dimensional force measurement sensors in all directions, the axial size is large, and the installation requires more space, which cannot meet the requirements of wheel multi-dimensional force measurement. application is becoming more and more widespread. The wheel multi-dimensional force sensor adopts the spoke structure and the elastic body directly connected with the wheel drum and the wheel ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01L25/00G01L5/16
CPCG01L5/16G01L25/00
Inventor 杨忠宋爱国徐宝国田小敏余振中
Owner JINLING INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap