[1]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):38-42.[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(1):38-42.[doi:10.3969/j.issn.1000-5013.2005.01.010]
点击复制

模糊遗传算法的自适应PID控制器()
分享到:

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

卷:
第26卷
期数:
2005年第1期
页码:
38-42
栏目:
出版日期:
2005-01-20

文章信息/Info

Title:
Adaptive PID Controller Based on Fuzzy Genetic Algorithm
文章编号:
1000-5013(2005)01-0038-05
作者:
方千山
华侨大学信息科学与工程学院 福建泉州362021
Author(s):
Fang Qianshan
College of Information Science and Engineering, Huaqiao University, 362021, Quanzhou, China
关键词:
模糊逻辑推理 遗传算法 自适应PID
Keywords:
fuzzy logical inference genetic algorithm adaptive PID
分类号:
TP273.4
DOI:
10.3969/j.issn.1000-5013.2005.01.010
文献标志码:
A
摘要:
针对遗传算法运算速度慢不利于实时控制现象,提出一种基于模糊推理的遗传算法,并将其应用于自适应PID控制器上 .仿真实验表明,该算法具有较好的寻优能力,能满足实时控制的要求 .
Abstract:
Directing against the disadvantage of conventional genetic algorithm to real time control due to slowness in operating rate, the author puts forward a new genetic algorithm on the basis of fuzzy inference and applies it to adaptive PID controller. This new genetic algorithm is fairly good in optimizing capability and is able to fulfill the requirement of real time control, as shown by simulation experiment.

参考文献/References:

[1] Collins R J. Studies in artificial evolution [M]. California: The University of California Press, 1992.20-40.
[2] HOLLAND J H. Adaptation in natural and artificial systems [M]. Michigan: The University of Michigan Press, 1975.116-128.
[3] 周明, 孙树栋. 遗传算法原理及应用 [M]. 北京:国防工业出版社, 1999.25-30.
[4] 陈丽燕, 吴新余. 关于遗传算法过早收敛现象的特征分析 [J]. 南京邮电学院学报, 1997(3):96-99.
[5] 何琳, 王科俊. 最优保留遗传算法及其收敛性分析 [J]. 控制与决策, 2000(1):63-66.doi:10.3321/j.issn:1001-0920.2000.01.016.
[6] 陈国龙. 遗传算法在求解全局优化问题中的应用 [J]. 福州大学学报(自然科学版), 1999(5):14-18.doi:10.3969/j.issn.1000-2243.1999.05.004.
[7] 方咸云, 方千山, 王永初. 双变异率自适应遗传算法及其应用 [J]. 南昌航空航天学院学报, 2002(2):36-40.doi:10.3969/j.issn.1001-4926.2002.02.005.
[8] 李敏强, 寇纪淞, 林丹. 遗传算法的基本理论与应用 [M]. 北京:科学出版社, 2002.48-51.
[9] 袁慧梅. 具有自适应交换率和变异率的遗传算法 [J]. 首都师范大学学报(自然科学版), 2000(3):14-20.doi:10.3969/j.issn.1004-9398.2000.03.004.
[10] 孙增圻. 系统分析与控制 [M]. 北京:清华大学出版社, 1994.55-58.
[11] 梁军, 符雪桐, 吕勇哉. 自适应PID控制基本原理与算法 [J]. 浙江大学学报(工学版), 1994(5):523-529.

相似文献/References:

[1]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(1):116.[doi:10.11830/ISSN.1000-5013.1995.01.0116]
[2]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(1):128.[doi:10.11830/ISSN.1000-5013.1998.02.0128]
[3]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(1):200.[doi:10.3969/j.issn.1000-5013.2000.02.022]
[4]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(1):394.[doi:10.3969/j.issn.1000-5013.2000.04.014]
[5]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(1):81.[doi:10.3969/j.issn.1000-5013.2002.01.018]
[6]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.[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(1):143.[doi:10.3969/j.issn.1000-5013.2003.02.006]
[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(1):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(1):23.[doi:10.3969/j.issn.1000-5013.2005.01.006]
[9]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(1):85.[doi:10.3969/j.issn.1000-5013.2005.01.022]
[10]屈喜龙,孙林夫.遗传算法在制造资源优化配置中的实现[J].华侨大学学报(自然科学版),2005,26(1):93.[doi:10.3969/j.issn.1000-5013.2005.01.024]
 Qu Xilong,Sun Linfu.Implementation of Genetic Algorithm to the Optimal Configuration of Manufacture Resources[J].Journal of Huaqiao University(Natural Science),2005,26(1):93.[doi:10.3969/j.issn.1000-5013.2005.01.024]

更新日期/Last Update: 2014-03-23