[1]杨以俊,张超然,孙晓红.基于 IWOA-ELM 的功放输出特性建模[J].机械与电子,2023,41(11):57-62.
 YANG Yijun,ZHANG Chaoran,SUN Xiaohong.Modeling of Power Amplifier Output Characteristics Based on IWOA-ELM[J].Machinery & Electronics,2023,41(11):57-62.
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基于 IWOA-ELM 的功放输出特性建模()
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
41
期数:
2023年11期
页码:
57-62
栏目:
智能工程
出版日期:
2023-11-23

文章信息/Info

Title:
Modeling of Power Amplifier Output Characteristics Based on IWOA-ELM
文章编号:
1001-2257 ( 2023 ) 11-0057-06
作者:
杨以俊张超然孙晓红
苏州科技大学电子与信息工程学院,江苏 苏州 215009
Author(s):
YANG Yijun ZHANG Chaoran SUN Xiaohong
( School of Electronic and Information Engineering , Suzhou University of Science and Technology , Suzhou 215009 , China )
关键词:
功率放大器结温鲸鱼优化算法极限学习机Logistic 混沌映射
Keywords:
power amplifier junction temperature whale optimization algorithm extreme learning machine Logistic chaotic mapping
分类号:
TP301
文献标志码:
A
摘要:
针对极限学习机( ELM )在功放建模中普遍存在误差变化大、精度低的问题,提出一种改进鲸鱼优化算法( IWOA )优化 ELM 的功放模型。该算法利用 Logistic 混沌映射初始化鲸鱼算法的种群,通过非线性收敛因子增强鲸鱼算法在各阶段的搜索能力,从而实现对 ELM 输入权重和偏差的优化。利用电子设计领域内的 2 款 EDA 软件( AWR 和 SILVACO )对 2 W 的 AB 类功放进行分析,通过两者的迭代计算获取功放对应输入下的输出性能参数以及结温数据。基于 IWOA-ELM 模型,以输入功率和结温作为模型输入,对 3 种输出特性参数(输出功率、功率增益和功率附加效率)进行预测。结果表明,该模型具有更高的精度和较低的时间成本,可以准确地模拟功放的输出特性。
Abstract:
To address the common problems of large error variation and low accuracy in amplifier modeling of extreme learning machine ( ELM ), an improved whale optimization algorithm ( IWOA ) is proposed to optimize the power amplifier model of ELM.The algorithm uses logistic chaotic mapping to initialize the population of the whale algorithm , and enhance the search ability of the whale algorithm at each stage by a nonlinear convergence factor to optimize the input weights and deviations of the ELM.A 2 W class AB amplifier is analyzed by using two EDA software ( AWR and SILVACO ) in the field of electronic design , and the final input and output performance parameters of the amplifier as well as the junction temperature data are obtained by iterative calculation of both.Based on the IWOA-ELM model , the three output characteristics parameters ( output power , power gain and power-added efficiency ) are predicted using the input power and junction temperature as model inputs.The results show that the model has higher accuracy and lower time cost to accurately model the output characteristics of the amplifier.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2022-12-01
基金项目:国家自然科学基金资助项目( 61701333 )
作者简介:杨以俊 ( 1998- ),男,江苏苏州人,硕士研究生,研究方向为射频与微波器件建模;张超然 ( 1998- ),男,江苏宿迁人,硕士研究生,研究方向为功率放大器预失真;孙晓红 ( 1986- ),女,江苏南通人,博士,硕士研究生导师,研究方向为微波功率器件设计、功率放大器和振荡器等热学优化,通信作者。
更新日期/Last Update: 2023-12-14