| 基于云粒子群-最小二乘支持向量机的传感器温度补偿 |
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| 引用本文： | 张朝龙,江巨浪,李彦梅,陈世军,査长礼,王陈宁. 基于云粒子群-最小二乘支持向量机的传感器温度补偿[J]. 传感技术学报, 2012, 25(4): 472-477 |
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| 作者姓名： | 张朝龙 江巨浪 李彦梅 陈世军 査长礼 王陈宁 |
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| 作者单位： | 安庆师范学院物理与电气工程学院,安徽安庆,246011 |
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| 基金项目： | 安徽省自然科学基金，安庆师范学院青年科研基金，安徽高校省级优秀青年人才基金 |
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| 摘 要： | 针对传感器的测量精度受温度影响较大问题,提出了一种基于云粒子群-最小二乘支持向量机(CMPSO-LSSVM)的温度补偿方法。云粒子群算法(CMPSO)将云模型算法应用于粒子群优化(PSO)算法的收敛机制,具有寻优精度高的特点。CMPSO算法对LSSVM的参数进行优化选择,建立CMPSO-LSSVM传感器温度补偿模型。将该模型应用于振弦式传感器的温度补偿,通过实验证明了该温度补偿方法优于当前其他主要方法。
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| 关 键 词： | 云模型 粒子群优化 最小二乘支持向量机 温度补偿 |
Temperature Compensation of Sensor Based on CMPSO-LSSVM |
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| ZHANG Chaolong , JIANG Julang , LI Yanmei , CHEN Shijun , ZHA Changli , WANG Chenlin. Temperature Compensation of Sensor Based on CMPSO-LSSVM[J]. Journal of Transduction Technology, 2012, 25(4): 472-477 |
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| Authors: | ZHANG Chaolong JIANG Julang LI Yanmei CHEN Shijun ZHA Changli WANG Chenlin |
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| Affiliation: | ZHANG Chaolong,JIANG Julang,LI Yanmei,CHEN Shijun,ZHA Changli,WANG Chenlin(School of Physics and Electrical Engineering,Anqing Normal University,Anqing Anhui 246011,China) |
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| Abstract: | The precision of sensor is affected greatly by temperature,and a new method is put forward for sensor temperature compensation based on Cloud Model Particle Swarm Optimization-Least Square Support Vector Machine(CMPSO-LSSVM).Cloud model particle swarm optimization(CMPSO)algorithm is proposed when cloud model algorithm was introduced into the convergence process of PSO algorithm.The simulations prove the CMPSO has better optimization performance than the other main PSOs.The CMPSO searches parameters for LSSVM and established the temperature compensation model of vibrating-wire sensor.This method improves the temperature stability and its accuracy is more better than the other main methods,which has been proved through experiments. |
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| Keywords: | cloud model PSO LSSVM temperature compensation |
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