[1]高明松,李素明,周卫东.应用人工蜂群算法辨识潜器参数 [J].哈尔滨工程大学学报,2013,(08):1023-1027.[doi:10.3969/j.issn.10067043.201304009]
点击复制

应用人工蜂群算法辨识潜器参数 (/HTML)
分享到:

《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年08期
页码:
1023-1027
栏目:
出版日期:
2013-08-25

文章信息/Info

文章编号:
10067043(2013)08102305
作者:
高明松李素明周卫东
哈尔滨工程大学 自动化学院,黑龙江 哈尔滨 150001
关键词:
水下潜器人工蜂群算法水动力系数参数辨识禁忌表
分类号:
TG156
DOI:
10.3969/j.issn.10067043.201304009
文献标志码:
A
摘要:
针对确定水下潜器参数试验和理论计算困难的问题,提出基于基本人工蜂群算法及改进人工蜂群方法辨识潜器系数的方法.基于潜器模型,通过改进蜜蜂的搜索模式、引入禁忌表等方法解决蜂群算法早熟的问题,然后选取典型操舵机动分别对原始和改进的蜂群算法进行实验仿真.通过对比参数辨识前后的仿真图,表明应用人工蜂群算法辨识潜器参数是可行的;通过对比蜂群算法改进前后的仿真图,表明改进方法的有效性.

参考文献/References:

[1]〖ZK(〗袁伟杰,刘贵杰,朱绍锋. 基于遗传算法的自治水下机器人水动力参数辨识方法[J]. 机械工程学报, 2010, 46(11): 96100.

YUAN Weijie, LIU Guijie, ZHU Shaofeng. Identification method of hydrodynamic parameters of autonomous underwater vehicle based on genetic algorithm [J]. Journal of Mechanical Engineering, 2010, 46(11): 96100.〖ZK)〗

[2]〖ZK(〗田亚杰,边信黔. 应用全局最小二乘法辨识AUV运动参数[J]. 控制理论与应用,2006,25(2):47.

TIAN Yajie, BIAN Xinqian. Identification of hydrodynamic parameters of AUV with the total least squares method [J].Control Theory and Applications, 2006, 25(2): 47.〖ZK)〗

[3]〖ZK(〗RIDAO P, BATLLE J, CARRERAS M. Model identification of a lowspeed UUV[C]// Proceedings of the 1st IFAC Workshop on Guidance and Control of Underwater Vehicles. Glasgow, UK, 2003: 4752.〖ZK)〗

[4]〖ZK(〗刘建成,刘学敏,徐玉如. 极大似然法在水下机器人系统辨识中的应用[J]. 哈尔滨工程大学学报,2001,22(5): 14.

〖JP2〗LIU Jiancheng, LIU Xuemin, XU Yuru. Application of maximumlikelihood to identification of underwater vehicle [J]. Journal of Harbin Engineering University, 2001, 22(5): 14.〖JP〗〖ZK)〗

[5]〖ZK(〗CHATCHANAYUENYONG T, PARNICHKUM M. Neural network basedtime optimal sliding mode control for an autonomous underwater robot[J]. Mechatronics, 2006, 16(8): 471478. 〖ZK)〗

[6]〖ZK(〗VAN DE VEN P W J, JOHANSEN T A, SQRENSEN J A, et al. Neural network augmented identification of underwater vehicle models [J]. Control Engineering Practice, 2007, 15(6): 715725.〖ZK)〗

[7]〖ZK(〗胡坤,王树宗,徐亦凡. 基于免疫遗传算法的潜艇水动力系数优化研究[J].兵工学报, 2008, 29(12): 15321536.

HU Kun, WANG Shuzoong, XU Yuyifan. Optimization research on hydrodynamic coefficients of submarine based on immune genetic algorithm [J]. Acta Armamentarii, 2008, 29(12): 15321536.〖ZK)〗

[8]〖ZK(〗KARABOGA D, OZTURK C. Neural networks training by artificial bee colony algorithm on pattern classification [J]. Neural Network World, 2009, 19(3): 279292.〖ZK)〗

[9]〖ZK(〗KARABOGA D, OZTURK C. A novel clustering approach: artificial bee colony (ABC) algorithm [J]. Applied Soft Computing, 2011, 11(1): 652657.〖ZK)〗

[10]〖ZK(〗KARABOGA D, AKAY B. A modified artificial bee colony (ABC) algorithm for constrained optimization problems [J].Applied Soft Computing, 2011, 11(3): 30213031.〖ZK)〗

[11]〖ZK(〗马骋,连琏.水下运载器操纵控制及模拟仿真技术[M].北京:国防工业出版社, 2009: 833, 102135.

MA Pin, LIAN Lian. Underwater vehicle manipulation control and simulation technology [M]. Beijing: National Defense Industry Press, 2009: 833, 102135.〖ZK)〗

[12]〖ZK(〗SEN D. A study on sensitivity of maneuverability performance on the hydrodynamic coefficients for submerged bodies [J]. Journal of Ship Research, 2000, 44(3): 186196.〖ZK)〗

[13]〖ZK(〗王燕飞,朱军,张振山.评估水动力系数对潜艇操纵性影响的一种方法[J].船舶力学, 2005, 9(5): 6168.

WANG Yanfei, ZHU Jun, ZHANG Zhenshan. A method of evaluating the influence of hydrodynamic coefficients on controllability of submarine [J].Journal of Ship Mechanics, 2005, 9(5): 6168.〖ZK)〗

[14]〖ZK(〗段海滨,张祥银,徐春芳.仿生智能计算[M].北京:科学出版社, 2011: 88104.

DUAN Haibin, ZHANG Xiangyin, XU Chunfang. Bioinspired computing [M]. Beijing: Science Press, 2011: 88104.〖ZK)〗

[15]任伟建,武璇. 一种动态改变学习因子的简化粒子群算法[J]. 自动化技术与应用, 2012, 31(10): 911, 37.

REN Weijian, WU Xuan. A modified simple particle swarm optimization using dynamically changing learning factor[J]. Techniques of Automation and Application, 2012, 31(10): 911,37.

相似文献/References:

[1]毕晓君,王艳娇.改进人工蜂群算法[J].哈尔滨工程大学学报,2012,(01):117.[doi:doi:10.3969/j.issn.1007-7043.201102020]
 BI Xiaojun,WANG Yanjiao.A modified artificial bee colony algorithm and its application[J].hebgcdxxb,2012,(08):117.[doi:doi:10.3969/j.issn.1007-7043.201102020]

备注/Memo

备注/Memo:

基金项目:国家自然科学基金资助项目(608340085).

作者简介:高明松(1967), 男, 研究员, 博士研究;

李素明(1988), 女, 硕士研究生;

周卫东(1966),男,教授,博士生导师.

通信作者:李素明,Email lisuming1511@163.com.

更新日期/Last Update: 2013-09-17