NSSC OpenIR  > 微波遥感部
基于改进蚁群算法的飞行仿真转台的控制优化
Alternative TitleStudy on the Improved ACA-based Parameters Optimization ofNLPID Controller for Flight Simulator
段海滨; 王道波; 于秀芬; 北京8701信箱
Department国家863计划微波遥感技术实验室
Source Publication中国空间科学技术
2007
Volume27Issue:4Pages:28-33,43
ISSN1000-758X
Language中文
Keyword蚁群算法信息素 非线性比例-微分-积分控制器 参数优化 飞行仿真转台
Abstract提出了一种用改进蚁群算法优化飞行仿真转台非线性PID控制参数的新策略,借助相遇搜索策略和信息素残留系数的自适应控制思想对基本蚁群算法进行了改进,设计了一种基于改进蚁群算法优化飞行仿真转台非线性PID(NLPID)控制参数的飞行仿真转台系统结构,在对非线性PID控制参数进行优化时采用了时间乘以误差绝对值积分最小性能指标,最后将用改进蚁群算法优化后的控制参数应用于某型高性能飞行仿真转台.实验表明,采用改进蚁群算法优化非线性PID控制参数的飞行仿真转台系统可从带噪声的输入信号中合理地提取出微分信号,并且对噪声具有很强的滤波作用,整个系统响应速度快,并具有较强的鲁棒性.
Other AbstractA novel NLPID optimization strategy for flight simulator was proposed.In order to enhance the global convergence performance of ACA,the basic ACA was improved by using meeting search strategy and trail decay coefficient self-adaptive adjusting ideology.Furthermore.an improved ACA~based NLPID parameters optimization structure for flight simulator was designed.ITAE performance criteria was adopted in the improved ACA.Finally,the optimized parameters using im proved ACA were applied to a high perform ance flight simulator.The experim enta1 resuIts demonstrate that the NLPID controller has strong robustness against noise .This proposed ACA-based HLPID parameters optimization strategy can also be used to develope other simu1ation servo system contro11ers.
Indexed ByCSCD
Funding Project中国科学院空间科学与应用研究中心
Citation statistics
Document Type期刊论文
Identifierhttp://ir.nssc.ac.cn/handle/122/1930
Collection微波遥感部
Corresponding Author北京8701信箱
Recommended Citation
GB/T 7714
段海滨,王道波,于秀芬,等. 基于改进蚁群算法的飞行仿真转台的控制优化[J]. 中国空间科学技术,2007,27(4):28-33,43.
APA 段海滨,王道波,于秀芬,&北京8701信箱.(2007).基于改进蚁群算法的飞行仿真转台的控制优化.中国空间科学技术,27(4),28-33,43.
MLA 段海滨,et al."基于改进蚁群算法的飞行仿真转台的控制优化".中国空间科学技术 27.4(2007):28-33,43.
Files in This Item:
File Name/Size DocType Version Access License
200727428.pdf(241KB) 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[段海滨]'s Articles
[王道波]'s Articles
[于秀芬]'s Articles
Baidu academic
Similar articles in Baidu academic
[段海滨]'s Articles
[王道波]'s Articles
[于秀芬]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[段海滨]'s Articles
[王道波]'s Articles
[于秀芬]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.