Adaptive Control of Mechanical Servo System with Glowworm Swarm Friction Identification

被引：0
|
作者：
Tao Liang [1 ]
Chen Qiang [1 ]
Nan Yurong [1 ]
Yu Suhua [1 ]
Sun Guofa [2 ]
机构：
[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China
[2] Qingdao Technol Univ, Coll Automat Engn, Qingdao 266520, Peoples R China
来源：
2015 34TH CHINESE CONTROL CONFERENCE (CCC) | 2015年
关键词：
Mechanical servo system; LuGre friction; glowworm swarm optimization; adaptive control;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, the parameters identification and control problem is investigated for a mechanical servo system with LuGre friction. First of all, an intelligent glowworm swarm optimization algorithm is developed to identify the friction parameters. Then, an adaptive control based on glowworm swarm optimization (AC+GSO) is designed by using a finite-time parameter estimate law to speed up the parameter convergence. Finally, comparative simulations are given to show that the proposed parameters identification technique and adaptive control law are effective with high tracking performance.
引用
收藏
页码：3132 / 3138
页数：7
相关论文
共 50 条
  • [21] Parameter identification of LuGre friction model for servo system based on improved particle swarm optimization algorithm
    Zhang Wenjing
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3, 2007, : 135 - 139
  • [22] Adaptive compensation of dry friction in pneumatic servo system
    Yu, DR
    Bao, W
    Mao, ZW
    Bao, G
    Dai, YM
    PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON FLUID POWER TRANSMISSION AND CONTROL, 1999, : 496 - 499
  • [23] Identification and cascade control of servo-pneumatic system using Particle Swarm Optimization
    Saleem, Ashraf
    Taha, Bashar
    Tutunji, Tarek
    Al-Qaisia, Ahmad
    SIMULATION MODELLING PRACTICE AND THEORY, 2015, 52 : 164 - 179
  • [24] A continuous version of the LuGre friction model applied to the adaptive control of a pneumatic servo system
    Sobczyk, M. R.
    Gervini, V. I.
    Perondi, E. A.
    Cunha, M. A. B.
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (13): : 3021 - 3039
  • [25] Adaptive robust disturbance compensating control for a servo system in the presence of both friction and deadzone
    Jung, Jinho
    Lee, Donghyuk
    Kim, Jong Shik
    Han, Seong Ik
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2017, 231 (03) : 432 - 445
  • [26] Adaptive Position Control of an Electrohydraulic Servo System With Load Disturbance Rejection and Friction Compensation
    Angue-Mintsa, Honorine
    Venugopal, Ravinder
    Kenne, Jean-Pierre
    Belleau, Christian
    JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME, 2011, 133 (06):
  • [27] Application of CMAC control in servo system with friction
    Wang Weihong
    2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 3708 - 3711
  • [28] Research on Control Strategy of Friction Servo System
    Guo Yanwen
    Li Xin
    Wang Ning
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 546 - 549
  • [29] Parameter Estimation and Adaptive Control for Servo Mechanisms With Friction Compensation
    Wang, Shubo
    Na, Jing
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 16 (11) : 6816 - 6825
  • [30] Finite-time adaptive robust control for CMG gimbal servo system with friction nonlinearities
    Wang L.
    Guo Y.
    Yao W.
    Wu Y.-F.
    Guo J.
    Kongzhi yu Juece/Control and Decision, 2019, 34 (04): : 885 - 890
12345