Nonlinear correction of photoelectric displacement sensor based on least square support vector machine

被引：0

作者：

Jie-rong Guo

Yi-gang He

Chang-qing Liu

机构：

[1] Hunan University of Arts and Science,College of Physics and Electronics

[2] Hunan University,College of Electrical and Information Engineering

来源：

Journal of Central South University | 2011年 / 18卷

关键词：

least square support vector machine; position; photoelectric displacement sensor; nonlinear correct;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos genetic algorithm. And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied. The application results reveal that error of photoelectric displacement sensor is less than 1.5%, which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.

引用

页码：1614 / 1618

页数：4

共 50 条

[41] Experimental study of leakage detection of natural gas pipeline using FBG based strain sensor and least square support vector machine
Hou, Qingmin
Jiao, Wenling
Ren, Liang
Cao, Huizhe
Song, Gangbing
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2014, 32 : 144 - 151
[42] Soft Sensor Based on Least Square Support Vector Machine with Limited Memory for Crystal Particle Size Prediction in PTA Purification Process
Liu, Ruilan
Xu, Yang
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 2678 - +
[43] Optimal Linearization-Based Computationally Proficient Predictive Control of MIMO Nonlinear System Using Least Square Support Vector Machine
Raninga, Divyesh
Radhakrishnan, T. K.
Velswamy, Kirubakaran
ASIA-PACIFIC JOURNAL OF CHEMICAL ENGINEERING, 2025,
[44] Mixed-kernel least square support vector machine predictive control based on improved free search algorithm for nonlinear systems
Tian Zhongda
Li Shujiang
Wang Yanhong
Wang Xiangdong
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2018, 40 (16) : 4382 - 4396
[45] Least square support vector machine and relevance vector machine for evaluating seismic liquefaction potential using SPT
Samui, Pijush
NATURAL HAZARDS, 2011, 59 (02) : 811 - 822
[46] Explicit nonlinear predictive control algorithms for Laguerre filter and sparse least square support vector machine-based Wiener model
Raninga, Divyesh
Radhakrishnan, T. K.
Velswamy, Kirubakaran
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2021, 43 (04) : 812 - 831
[47] Utilization of a least square support vector machine (LSSVM) for slope stability analysis
Samui, P.
Kothari, D. P.
SCIENTIA IRANICA, 2011, 18 (01) : 53 - 58
[48] Least square support vector machine and relevance vector machine for evaluating seismic liquefaction potential using SPT
Pijush Samui
Natural Hazards, 2011, 59 : 811 - 822
[49] Determination of liquefaction susceptibility of soil: a least square support vector machine approach
Samui, Pijush
Karthikeyan, J.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS, 2013, 37 (09) : 1154 - 1161
[50] Genetic-least square support vector machine estimation of slope stability
Ma Wen-tao
Kong Liang
ROCK AND SOIL MECHANICS, 2009, 30 (12) : 3876 - 3880

← 1 2 3 4 5 →