液体天线智能化控制算法研究  

Research on intelligent control algorithm for liquid antenna

作　　者：黄杰 胡玥 蔡强明 陈琦 聂诗良[1] HUANG Jie;HU Yue;CAI Qiangming;CHEN Qi;NIE Shiliang(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China)

机构地区：[1]西南科技大学信息工程学院,四川绵阳621000

出　　处：《现代电子技术》2025年第5期21-29,共9页Modern Electronics Technique

基　　金：国家自然科学基金项目(61801406);中央引导地方-科技成果转移转化项目(2023ZYDF022)。

摘　　要：针对应急状态下需要快速恢复通信能力的需求,文中设计了一种可重构液体天线模型,并以此为基础对液体天线的设计方法和智能化控制算法进行深入研究。首先利用神经网络算法建立液体天线电磁性能参数与物理参数之间的映射关系,预测在设计性能指标下液体天线应具有的液体温度、高度、横截面半径、电导率,以此为可重构物理参数设计仿真控制系统。通过分析系统的运行特点,说明了引入PID算法进行控制的可行性。引入粒子群算法整定PID参数。针对传统粒子群算法的不足,提出LAIPSO算法,该算法在传统粒子群算法的基础上融合ICMIC混沌映射并引入莱维飞行策略,实现了自动更新惯性权重和学习率的自适应。通过选取6个测试函数对LAIPSO算法进行对比实验,说明了此算法在解决单峰与多峰问题的优越性。最后以预测液体天线的物理参数为控制目标进行对比实验,证明了LAIPSO算法对PID参数具有好的整定效果。A reconfigurable liquid antenna model is designed to meet the needs of rapid recovery of communication capability under emergency conditions.On the basis of the model,the design method and intelligent control algorithm for liquid antenna are studied in depth.Firstly,the neural network algorithm is used to establish the mapping relationship between the electromagnetic performance parameters and the physical parameters of the liquid antenna,and the liquid temperature,height,cross-sectional radius and conductivity of the liquid antenna are predicted according to the designed performance index,and the simulation control system is designed for the reconfigurable physical parameters.By analyzing the operating characteristics of the system,the feasibility of introducing PID algorithm for control is illustrated.The particle swarm optimization(PSO)algorithm is introduced to set the PID parameters.In view of the shortcomings of the traditional PSO algorithm,the LAIPSO algorithm is proposed.In the LAIPSO algorithm,the ICMIC chaos mapping is fused on the basis of the traditional PSO algorithm and the Lévi flight strategy is introduced.In addition,the LAIPSO algorithm realizes the adaptive update of the inertia weight and adaptation of learning rate.By selecting six test functions,the LAIPSO algorithm is subjected to comparison experiments,which shows the superiority of the algorithm in solving the single-peak and multi-peak problems.Finally,taking the prediction of the physical parameters of the liquid antenna as the control objective,comparative experiments are carried out,which proves that the LAIPSO algorithm has a good tuning effect on PID parameters.

关 键 词：液体天线 天线设计 神经网络 改进粒子群算法 PID参数整定 自适应 混沌映射 莱维飞行 

分 类 号：TN802-34[电子电信—信息与通信工程] TP13[自动化与计算机技术—控制理论与控制工程]