全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于PSO的变结构变时滞自校正控制*

, PP. 310-316

Keywords: 粒子群优化(PSO),自校正控制,变时滞,变结构

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对变结构、变时滞被控对象,将粒子群优化(PSO)算法与广义最小方差相结合,采用实时自校正过程对其进行控制,提出基于PSO自校正控制器算法.该算法应用隐式辨识方式,可减少辨识计算量,通过跟踪误差来改变辨识精度.以工业上典型的一阶、二阶和三阶系统的结构变化并伴随着有时滞突变的复杂被控对象进行仿真,并和基于最小二乘的传统自校正控制方法比较得知,在运用PSO自校正控制器的控制下,系统输出量与期望输出之间的方差趋于更小,控制跟随性和鲁棒性均较好.仿真结果表明该自校正控制器的有效性与应用价值.

References

[1]  Astrom K J, Wittenmark B. On Self-Tuning Regulators. Automatica, 1973, 9(2): 185-199
[2]  Kirecci A, Eker I, Dulger L C. Self-Tuning Control as Conventional Method. Electrical Engineering, 2003, 85(2): 101-107
[3]  Clarke D W, Gawthrop P J. Self-Tuning Controller. Proc of the IEEE, 1975, 122(9): 929-934
[4]  Dangprasert P, Avatchanakorn V. Genetic Algorithms Based Self-Tuning Regulator // Proc of the IEEE International Conference on Evolutionary Computation. Perth, Australia, 1995: 444-449
[5]  Kennedy J, Eberhart R. Particle Swarm Optimization // Proc of the IEEE International Conference on Neural Network. Perth, Australia, 1995: 1942-1948
[6]  Zeng Jianchao, Cui Zhihua. Algorithm for Particle Swarm Optimization. Beijjing, China: Science Press, 2005 (in Chinese) (曾建潮,崔志华.微粒群算法.北京:科学出版社, 2005)
[7]  Lin Weixing, Zhang Huidi, Liu Shirong, et al. The Hammerstein Model Identification Based on PSO. Chinese Journal of Scientific Instrument, 2006, 27(1): 75-79 (in Chinese) (林卫星,张惠娣,刘士荣,等.应用粒子群优化算法辨识Hammerstein模型.仪器仪表学报, 2006, 27(1): 75-79)
[8]  Lin W, Liu P X. Hammerstein Model Identification Based on Bacterial Foraging. Electronics Letters, 2006, 42(23): 1332-1334
[9]  Shi Yuhui, Eberhart R. Modified Particle Swarm Optimizer // Proc of the IEEE International Conference on Evolutionary Computation. Anchorage, USA, 1998: 69-73
[10]  Kennedy J. The Particle Swarm: Social Adaptation of Knowledge // Proc of the IEEE International Conference on Evolutionary Computation. Indianapolis, USA, 1997: 303-308
[11]  Ding Feng, Yang Jiaben. Computation Formulas of the Noise to Signal Ratio of Input Output Systems. Journal of Tsinghua University: Science and Technology, 1998, 38(9): 107-110 (in Chinese) (丁 锋,杨家本.输入输出系统噪信比的计算.清华大学学报:自然科学版, 1998, 38(9): 107-110)

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133