|本期目录/Table of Contents|

[1]段崇崇,张雨飞,冯 晨.基于DEAFCR算法的非线性系统模型参数辨识[J].工业仪表与自动化装置,2018,(06):3-6.[doi:1000-0682（2018）06-0000-00]
　DUAN Chongchong,ZHANG Yufei,FENG Chen.Parameter identification of nonlinear system model based on DEAFCR algorithm[J].Industrial Instrumentation & Automation,2018,(06):3-6.[doi:1000-0682（2018）06-0000-00]
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基于DEAFCR算法的非线性系统模型参数辨识

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2018年06期
页码:
3-6
栏目:
出版日期:
2018-12-15

文章信息/Info

Title:
Parameter identification of nonlinear system model based on DEAFCR algorithm
作者:
段崇崇; 张雨飞; 冯 晨
东南大学 能源与环境学院，南京210096
Author(s):
DUAN Chongchong; ZHANG Yufei; FENG Chen
School of Energy and Environment, Southeast University, Nanjing 210096, China
关键词:
DEAFCR算法; 非线性系统; 参数辨识; 优化算法; 寿命机制
Keywords:
DEAFCR algorithm;  nonlinear system;  parameter identification;  optimization algorithm;  life mechanism
分类号:
TP273
DOI:
1000-0682（2018）06-0000-00
文献标志码:
A
摘要:
针对非线性模型参数辨识困难和不准确的问题，提出一种基于改进的差分进化算法的辨识算法。通过建立寿命机制，根据寿命值，动态调整缩放因子和交叉率，在算法初期保持多样性来避免早熟收敛，在后期保留优质解，加快收敛速度。为验证改进算法的性能和实用性，用典型测试函数进行对比测试，并辨识非线性传递函数模型和Hammerstein模型，试验结果表明改进的算法收敛速度快，辨识精度高，对非线性系统参数辨识有效可行。
Abstract:
Aiming at the difficulty and inaccuracy of nonlinear model parameter identification, a new identification algorithm based on improved differential evolution algorithm is proposed.The life mechanism is established.According to the life value, the differential weight and crossover rate are dynamically adjusted.At the beginning of the algorithm, diversity is maintained to avoid premature convergence,and the high quality solution is retained at the later stage to accelerate the convergence speed. In order to verify the performance and practicability of the improved algorithm,several typical test functions were compared and tested,and the nonlinear transfer function model and Hammerstein model were identified.The experimental results show that the improved algorithm has high convergence speed,high identification accuracy, and nonlinear system parameters.The identification is effective and feasible.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2018-05-04
作者简介：段崇崇(1994)，男，硕士研究生，研究方向为能源信息自动化。
更新日期/Last Update: 2018-12-15