|本期目录/Table of Contents|

[1]谢冬华,洪荣晶,王华.回转支承自适应负载的运动控制方法[J].南京工业大学学报(自然科学版),2013,35(04):110-114.[doi:10.3969/j.issn.1671-7627.2013.04.023]
 XIE Donghua,HONG Rongjing,WANG Hua.Slewing bearing motion control based on adaptive load method[J].Journal of NANJING TECH UNIVERSITY(NATURAL SCIENCE EDITION),2013,35(04):110-114.[doi:10.3969/j.issn.1671-7627.2013.04.023]
点击复制

回转支承自适应负载的运动控制方法()
分享到:

《南京工业大学学报(自然科学版)》[ISSN:1671-7627/CN:32-1670/N]

卷:
35
期数:
2013年04期
页码:
110-114
栏目:
出版日期:
2013-07-01

文章信息/Info

Title:
Slewing bearing motion control based on adaptive load method
文章编号:
1671-7627(2013)04-0110-05
作者:
谢冬华洪荣晶王华
南京工业大学 机械与动力工程学院,江苏 南京 210009
Author(s):
XIE DonghuaHONG RongjingWANG Hua
College of Mechanical and Power Engineering,Nanjing University of Technology,Nanjing 210009,China
关键词:
回转支承 阻抗控制 神经网络 自适应
Keywords:
slewing bearing impedance control neural network adaptive
分类号:
TP273
DOI:
10.3969/j.issn.1671-7627.2013.04.023
文献标志码:
A
摘要:
建立回转支承运动系统的动力学模型,以传统阻抗控制为基础,分析由于动力学模型不确定造成的误差,用神经网络补偿这一误差,建立基于力矩型神经网络阻抗控制结构,并对控制系统进行仿真分析。结果表明:力矩型神经网络阻抗控制器具有良好的自适应性及鲁棒性,能实现回转支承系统的驱动力和位置的双重高精度控制,从而降低功率损耗,有效减少损伤的发生机率和减缓损伤发展速度,延长使用寿命。
Abstract:
A dynamics model of a slewing bearing motion control system was established.Based on impe-dance control method,the error caused by uncertainty of the dynamics model was analyzed.The error was compensated by using neural network algorithm.A torque-based neural network impedance controller was developed and simulation analysis was conducted.The results showed that the controller had good adaptability and robustness,and it could control both driving torque and position precisely.Therefore,power loss,probability of damage occurrence and damage development rate could be reduced,and the service life of the slewing bearing could be extended.

参考文献/References:

[1] 高学海,黄筱调,王华.双排四点接触球转盘轴承滚道接触压力分布 [J].南京工业大学学报:自然科学版,2011,34(1):80-83.
[2] 王彩云,李英,李元春.采油控制系统神经网络建模和优化算法设计[J].吉林大学学报:信息科学版,2006,24(2):164-171.
[3] 张广斌,葛运建,方凯.神经网络和专家系统在变速器检测中的应用[J].华中科技大学学报:自然科学版,2008,36(增刊1):53-56.
[4] Asilturka I,Ünüvar A.Intelligent adaptive control and monitoring of band sawing using a neural-fuzzy system[J].Journal of Materials Processing Technology,2009,209(5):2302-2313
[5] Hogan N.Impedance control:an approach to manipulator[J].Transactions of the ASME Journal of Dynamic Systems,Measurement,and Control,1985,107:1-24.
[6] Jung S,Hsia T C.Neural network impedance force control of robot manipulator[J].IEEE Transactions on Industrial Electronics,1998,45(3):451-461.
[7] 殷跃红,朱剑英.智能机器力觉及力控制研究综述[J].航空学报,1999(1):1-7.
[8] 吴乐彬,王宣银.自适应阻抗控制在广义主动加载中的应用[J].航空学报,2008(1):204-207.
[9] 孙富春,李莉,孙增圻.非线性神经网络自适应控制的发展现状及展望[J].控制理论与应用,2005(4):254-258.
[10] Martin T H.神经网络设计[M].戴葵,译.北京:机械工业出版社,2002.

相似文献/References:

[1]杨杰,陈捷,徐新庭,等.基于小波-能量模式的回转支承故障诊断方法研究与应用[J].南京工业大学学报(自然科学版),2015,37(04):134.[doi:10.3969/j.issn.1671-7627.2015.04.024]
 YANG Jie,CHEN Jie,XU Xintin,et al.Slewing bearing analysis on fault diagnosis based on wavelet and energy fault mode and its application[J].Journal of NANJING TECH UNIVERSITY(NATURAL SCIENCE EDITION),2015,37(04):134.[doi:10.3969/j.issn.1671-7627.2015.04.024]
[2]陆超,陈捷,洪荣晶,等.基于粒子群优化支持向量机的回转支承寿命状态识别[J].南京工业大学学报(自然科学版),2016,38(01):56.[doi:10.3969/j.issn.1671-7627.2016.01.010]
 LU Chao,CHEN Jie,HONG Rongjing,et al.Slewing bearing life state recognition based on support vector machine optimized by particle swarm[J].Journal of NANJING TECH UNIVERSITY(NATURAL SCIENCE EDITION),2016,38(04):56.[doi:10.3969/j.issn.1671-7627.2016.01.010]
[3]田淑华,王华,洪荣晶.基于多特征集融合与多变量支持向量回归的回转支承剩余寿命评估[J].南京工业大学学报(自然科学版),2016,38(03):50.[doi:10.3969/j.issn.1671-7627.2016.03.009]
 TIAN Shuhua,WANG Hua,HONG Rongjing.Residual life assessment of slewing bearing based on multivariate eigenvalues fusion and support vector regression[J].Journal of NANJING TECH UNIVERSITY(NATURAL SCIENCE EDITION),2016,38(04):50.[doi:10.3969/j.issn.1671-7627.2016.03.009]
[4]李媛媛,黄筱调,陈捷,等.基于遗传程序设计的回转支承寿命状态识别[J].南京工业大学学报(自然科学版),2017,39(06):111.[doi:10.3969/j.issn.1671-7627.2017.06.017]
 LI Yuanyuan,HUANG Xiaodiao,CHEN Jie,et al.Life state recognition of slewing bearing based on genetic programming[J].Journal of NANJING TECH UNIVERSITY(NATURAL SCIENCE EDITION),2017,39(04):111.[doi:10.3969/j.issn.1671-7627.2017.06.017]

备注/Memo

备注/Memo:
收稿日期:2012-05-03
基金项目:国家自然科学基金(51105191); 国家科技支撑计划(2011BAF09B02); 江苏省自然科学基金(BK2011797); 江苏省高校“青蓝工程”
作者简介:谢冬华(1987—),男,江苏苏州人,硕士,主要研究方向为智能测控系统; 王华(联系人),副教授,E-mail:wanghua0710@126.com..
更新日期/Last Update: 2013-07-07