| 微分进化算法研究及其在热工过程参数辨识中的应用 |
| |
| 引用本文： | 刘长良,于明.微分进化算法研究及其在热工过程参数辨识中的应用[J].化工自动化及仪表,2011,38(3):269-273. |
| |
| 作者姓名： | 刘长良 于明 |
| |
| 作者单位： | 华北电力大学,控制科学与工程学院,河北保定,071003 |
| |
| 摘 要： | 被控对象的数学模型,对控制系统的设计和分析有着极为重要的意义.采用微分进化算法对被控对象参数进行辨识.这种算法与其它进化算法的不同之处在于它的变异算子是由种群中任意选取的多对向量的差值得到的,并且主要用于实参数优化问题.微分进化算法虽然有简单、搜索效率高的特点,但是仍存在局部最优的问题.因此,在对微分进化算法搜索机理进...
|
| 关 键 词： | 模型辨识 微分进化算法 参数自适应调整 仿真分析 |
Modified Differential Evolution Algorithm and Its Application in Thermal Process Model Identification |
| |
| LIU Chang-liang,YU Ming.Modified Differential Evolution Algorithm and Its Application in Thermal Process Model Identification[J].Control and Instruments In Chemical Industry,2011,38(3):269-273. |
| |
| Authors: | LIU Chang-liang YU Ming |
| |
| Affiliation: | (Department of Control Theory and Control Engeneering,North China Electric Power University,Baoding 071003,China) |
| |
| Abstract: | The mathematical model of the controlled object in power plant is of significance to the design and analysis of the thermal control system.A differential evolution algorithm（DE） based on stochastic optimization approach was presented.Based on analyzing DE searching mechanism,the improved differential evolution algorithm with self-adaptive parameters can promote its robust,optima searching capability and speed.In order to prove the effectiveness of the improved differential evolution algorithm,the relevant model identifying program on MATLAB to and identify the mathematical models was worked out and the result was compared. |
| |
| Keywords: | model identification differential evolution algorithm improved differential evolution algorithm with self-adaptive parameters simulation analysis |
| 本文献已被 维普 万方数据 等数据库收录！ |
|
