基于改进粒子群算法的传感器测量土壤水分  

Sensor measuring soil moisture based on improved PSO algorithm

作　　者：张凤莉[1] 杨花雨[2] ZHANG Fengli;YANG Huayu(Department of Mechanical and Electrical Engineering,Shangqiu Polytechnic,Shangqiu Henan 476000,China;School of Information and Electronic Engineering,Shangqiu Institute of Technology,Shangqiu Henan 476000,China)

机构地区：[1]商丘职业技术学院机电工程系,河南商丘476000 [2]商丘工学院信息与电子工程学院,河南商丘476000

出　　处：《太赫兹科学与电子信息学报》2020年第3期504-508,共5页Journal of Terahertz Science and Electronic Information Technology

基　　金：河南省科技攻关计划资助项目(172102210440;182102210481)。

摘　　要：为了提高传感器测量土壤水分的精确度,提出改进粒子群算法(IPSO)。首先粒子个体最优值利用高斯变换,提高了算法的局部搜索能力,粒子全局最优值采用柯西变换,吸引其他粒子到更好的搜索空间区域,提高了算法的全局搜索能力;接着混沌函数动态调节惯性权重,在迭代初期具有较大的值便于快速寻优,而在算法后期有较小的值,放慢搜索速度,以便进行精确寻优。实验仿真显示本文算法对测量砾石脱湿、吸湿数据的均方误差(MSE)以及Pearson相关系数相比其他算法都较好,其中脱湿实测数据在基质势为1000 cm时,IPSO算法MSE均值为16.62×10^-6,相比LSM,FOA,HSA,PSO,SAA分别减少75.59%,66.67%,63.53%,53.73%,57.53%;吸湿实测数据在基质势为1000 cm时,IPSO算法MSE均值为10.21×10^-6,相比LSM,FOA,HSA,PSO,SAA分别减少81.42%,75.29%,72.00%,65.57%,67.69%。In order to improve the accuracy of sensor measuring soil moisture,Improved Particle Swarm Optimization(IPSO)algorithm is proposed.Firstly,Gauss transform is utilized to improve the local search ability,and Cauchy transform is adopted to attract other particles to better search space area,which improves the global search ability.Secondly,Chaotic function is adjusted the inertia weight dynamically,it has larger value in the initial iteration stage and smaller value in the later iteration stage,and the searching speed is slowed down in the later iteration.The simulation results show that the Mean Square Error(MSE)and Pearson correlation coefficients of IPSO algorithm are better than that of other algorithms for measuring gravel dehumidification and moisture absorption data,the MSE of the measured data of dehumidification for IPSO at the substrate potential of 1000 cm is 16.62×10^-6,which is 75.59%,66.67%,63.53%,53.73%and 57.53%lower than that for LSM,FOA,HSA,PSO and SAA respectively.For the measured data of moisture absorption at the substrate potential of 1000 cm,MSE of IPSO is 10.21×10^-6,which is 81.42%,75.29%,72.00%,65.57%and 67.69%lower than that of LSM,FOA,HSA,PSO and SAA respectively.

关 键 词：高斯柯西变换 粒子群 传感器 土壤水分 

分 类 号：TN06[电子电信—物理电子学] S237[农业科学—农业机械化工程]