[1]郑力新,黄东海,周凯汀.采用遗传算法实现时域模型降阶[J].华侨大学学报(自然科学版),2003,24(2):143-146.[doi:10.3969/j.issn.1000-5013.2003.02.006]
　Zheng Lixin,Huang Donghai,Zhou Kaiting.Realizing Reduction of Time Domain Model by Adopting Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),2003,24(2):143-146.[doi:10.3969/j.issn.1000-5013.2003.02.006]
点击复制

采用遗传算法实现时域模型降阶()
分享到：

《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第24卷
期数:
2003年第2期
页码:
143-146
栏目:
出版日期:
2003-04-20

文章信息/Info

Title:
Realizing Reduction of Time Domain Model by Adopting Genetic Algorithm
文章编号:
1000-5013(2003)02-0143-04
作者:
郑力新; 黄东海; 周凯汀
华侨大学信息科学与工程学院; 华侨大学信息科学与工程学院 福建泉州362011; 福建泉州362011; 福建泉州362011
Author(s):
Zheng Lixin;  Huang Donghai;  Zhou Kaiting
College of Info. Sci. & Eng., Huaqiao Univ., 362011, Quanzhou, China
关键词:
模型降阶;  遗传算法;  二阶系统模型;  时间响应匹配
Keywords:
model reduction;  genetic algorithms;  second order model;  matching of time response
分类号:
TP273.5
DOI:
10.3969/j.issn.1000-5013.2003.02.006
文献标志码:
A
摘要:
提出一种基于遗传算法的时域降阶新方法,它可以将高阶的模型降低为典型的二阶系统模型 .通过实际模型和目标模型在时间内的误差,将模型的降阶过程转化为最小优化过程,最优求解采用遗传算法 .在仿真软件包 Matlab和 Simulink的帮助下,先确定遗传算法的搜索空间,再建立模型匹配时间响应误差的自动汲取框图 .通过发挥遗传算法的优点和引入添加微变异种群等新策略,使得求解具有智能、高效、准确的特点,十分适合于工程应用
Abstract:
A new method based on genetic algorithm is prsented for a time domain model to reduce order by which a model of higher order can be reduced into typical model of second order system. By adopting error in time domain response between actual model and objective model, the model reduction process is transformed into minimal optimization process, which is solved by genetic algorithm. With the help of Matlab and Simulink as the simulation software package, the authors confirm firstly the searched space of genetic algorithm and set up secondly the block diagram of automatic acquisition for the error in time response of model matching. By giving play to strong point of genetic algorithm and leading in such new tactics as slight mutation group, the solving will be intelligent and efficient and accurate, and will be quite suitable for the applicataion to engineering.

参考文献/References:

[1] Szczerbicka H, Becker M. Genetic algorithms: A tool for modeling simulation and optimization of complex systems [J]. Cybernetics and Systems, 1998.639-659.
[2] Aguirre L A. Computer-aided analysis and design of control systems using model approximation techniques [J]. Computer Methods in Applied Mechanics and Engineering, 1994.273-294.doi:10.1016/0045-7825(94)90175-9.
[3] Benjamin C K. Automatic control systems 3rd ed [M]. New Jersey:Prentice Hall Inc, 1975.279-281.
[4] 吴捷. 计算机控制系统 [M]. 广州:广东科技出版社, 1995.75-77.
[5] GenM, Cheng Runwei. Genetic algorithms & engineering design [M]. New York:John Wilsey & Sons Inc, 1997.60-63.

相似文献/References:

[1]胡克定,洪秉钧.热工对象模型降阶的一种时域算法[J].华侨大学学报(自然科学版),1989,10(2):198.[doi:10.11830/ISSN.1000-5013.1989.02.0198]
　Hu Keding,Hong Bingjun.A Time Domain Algorithm for a Thermo dynamic Process Model of Reduced Order[J].Journal of Huaqiao University(Natural Science),1989,10(2):198.[doi:10.11830/ISSN.1000-5013.1989.02.0198]
[2]范慧琳.机器学习的若干方法分析[J].华侨大学学报(自然科学版),1995,16(1):116.[doi:10.11830/ISSN.1000-5013.1995.01.0116]
　Fan Huilin.An Analysis of Several Methods of Machine Learning[J].Journal of Huaqiao University(Natural Science),1995,16(2):116.[doi:10.11830/ISSN.1000-5013.1995.01.0116]
[3]郑力新.采用遗传算法的模拟集成电路参数最优设计[J].华侨大学学报(自然科学版),1998,19(2):128.[doi:10.11830/ISSN.1000-5013.1998.02.0128]
　Zheng Lixin.Parameter Optimization Design of Analog Integrated Circuit by Adopting Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),1998,19(2):128.[doi:10.11830/ISSN.1000-5013.1998.02.0128]
[4]周凯汀,郑力新.基于遗传算法的PID参数优化设计[J].华侨大学学报(自然科学版),2000,21(2):200.[doi:10.3969/j.issn.1000-5013.2000.02.022]
　Zhou Kaitin,Zheng Lixin.Optimization Design Based on Genetic Algorithm for Designing Parameters of PID controller[J].Journal of Huaqiao University(Natural Science),2000,21(2):200.[doi:10.3969/j.issn.1000-5013.2000.02.022]
[5]梅余霞,谢晓兰,万宁,等.木糖醇发酵液脱色的优化工艺[J].华侨大学学报(自然科学版),2000,21(4):394.[doi:10.3969/j.issn.1000-5013.2000.04.014]
　Mei Yuxia,Xie Xiaolan,Wan Ning,et al.Technology for Optimizing Decoloration of Xylitol Fermentation Liquor[J].Journal of Huaqiao University(Natural Science),2000,21(2):394.[doi:10.3969/j.issn.1000-5013.2000.04.014]
[6]任兴仑,童昕.压电智能梁振动控制的遗传算法优化设计[J].华侨大学学报(自然科学版),2002,23(1):81.[doi:10.3969/j.issn.1000-5013.2002.01.018]
　Ren Xinglun,Tong Xin.Optimal Control of Vibration Control of Piezoelectric Intelligent Beam Based on Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),2002,23(2):81.[doi:10.3969/j.issn.1000-5013.2002.01.018]
[7]徐玉野,王全凤,罗漪.摩擦耗能支撑参数优化[J].华侨大学学报(自然科学版),2004,25(1):45.[doi:10.3969/j.issn.1000-5013.2004.01.012]
　Xu Yuye,Wang Quanfeng,Luo Yi.Parameter Optimization with Frictional Energy Dissipation as a Brace[J].Journal of Huaqiao University(Natural Science),2004,25(2):45.[doi:10.3969/j.issn.1000-5013.2004.01.012]
[8]宋海洲.生产函数中参数估计方法的进一步改进[J].华侨大学学报(自然科学版),2005,26(1):23.[doi:10.3969/j.issn.1000-5013.2005.01.006]
　Song Haizhou.Further Improvement of the Method for Estimating Parameters in Production Function[J].Journal of Huaqiao University(Natural Science),2005,26(2):23.[doi:10.3969/j.issn.1000-5013.2005.01.006]
[9]方千山.模糊遗传算法的自适应PID控制器[J].华侨大学学报(自然科学版),2005,26(1):38.[doi:10.3969/j.issn.1000-5013.2005.01.010]
　Fang Qianshan.Adaptive PID Controller Based on Fuzzy Genetic Algorithm[J].Journal of Huaqiao University(Natural Science),2005,26(2):38.[doi:10.3969/j.issn.1000-5013.2005.01.010]
[10]周凯汀,郑力新.进化算法的PID参数最优设计[J].华侨大学学报(自然科学版),2005,26(1):85.[doi:10.3969/j.issn.1000-5013.2005.01.022]
　Zhou kaiting,Zheng Lixin.Optimal Design of PID Parameters by Evolution Algorithm[J].Journal of Huaqiao University(Natural Science),2005,26(2):85.[doi:10.3969/j.issn.1000-5013.2005.01.022]

备注/Memo

备注/Memo:
华侨大学科研基金资助项目(02HZR05)
更新日期/Last Update: 2014-03-23