改进鲸鱼优化算法在前向激光散射颗粒测量技术粒径分布反演中的应用  

Application of Improved Whale Optimization Algorithm in Particle Size Distribution Inversion for Forward Laser Scattering Particle Measurement Technology

作　　者：刘会玲[1] 韩星星[1] 赵蓓 高冰[3] 汪加洁[3] LIU Huiling;HAN Xingxing;ZHAO Bei;GAO Bing;WANG Jiajie(School of Physics and New Energy,Xi′an Jiaotong University City College,Xi′an 710018,China;Engineering Research Center of Photovoltaic Technologies and Systems,Universities of Shaanxi Province,Xi′an 710018,China;School of Physics,Xidian University,Xi′an 710071,China)

机构地区：[1]西安交通大学城市学院物理与新能源学院,西安710018 [2]光伏技术与系统陕西省高校工程研究中心,西安710018 [3]西安电子科技大学物理学院,西安710071

出　　处：《光子学报》2025年第3期118-131,共14页Acta Photonica Sinica

基　　金：国家自然科学基金(No.61675159);一般科研项目(No.2022Y03)。

摘　　要：颗粒粒度分布反演算法优化是前向激光散射法测量颗粒粒径分布中的一个关键问题。对于待测颗粒群粒径分布呈现双峰或多峰的情况,由于反演过程中的寻优参数成倍增加,反演计算量成指数增大,传统反演算法存在寻优效率快速下降,鲁棒性和反演精度迅速恶化等问题。通过改进鲸鱼优化算法在多维函数求解寻优中的特性,针对前向激光散射法中颗粒粒径分布反演问题提出了一种对数形式的自适应概率阈值和非线性变化的收敛因子,提高了鲸鱼优化算法在反演寻优过程中平衡全局搜索以及局部寻优的能力。通过反向学习方法进行初始化以及借助贪婪原则进行个体更新,可以实现对颗粒粒度分布的精确快速反演。仿真结果表明,该算法对在不同程度随机噪声下服从正态分布、Rosin-Rammler分布和Johnson'S_(B)分布的单峰及多峰分布具有很好的鲁棒性与反演精度。将该算法应用于聚苯乙烯标准颗粒群的实验测量,得到了很好的反演结果,验证了该算法在抗噪性能和测量准确性上的有效性。The physical and chemical properties of particle materials are closely related to their particle size that the measurement of particle size distribution plays an important role in a wide of applications in chemical industry,environmental protection and other fields.Among the various particle size measurement methods,the forward laser scattering technique has been widely used because of its advantages,including high efficiency,high precision,good repeatability and non-intrusive measurement.The problem of retrieving particle size distribution based on spatial distribution of light scattering intensity belongs to the first Fredholm integral problem,which is difficult to give an analytical solution,which was typically solved by numerical inversion methods.Due to the influence of ambient light noise and circuit noise on light energy distribution signal,the inversion of particle size distribution with high accuracy is one of the key issues in this technique.The inversion methods are generally divided into two kinds:independent mode method and non-independent mode method.The independent model method does not need to know the particle size distribution information in advance,which can theoretically obtain the particle size distribution of any particle system.However,such methods suffers from its sensitivity to noise and the width of the particle size distribution,which might cause distortion in the results.The non-independent mode method needs to assume that the particle size distribution meets a certain distribution function based on the prior information of particle size distribution,and then solve the problem on the basis of the set distribution function model.Compared to the independent mode method,this kind of method has advantages in computation efficiency and anti-noise ability.The traditional intelligent algorithm can obtain good inversion results when dealing with unimodal distribution particle system.However,for the cases where the particle size distribution of the particles presents a bimodal or multimodal pat

关 键 词：前向激光散射 群智能优化算法 鲸鱼优化算法 颗粒粒度分布 多峰分布 

分 类 号：O436[机械工程—光学工程]