The Autonomous Suspending Control Method for Underwater Unmanned Vehicle Based on Amendment of Fuzzy Control Rules

被引：0
|
作者：
Peng, Pengfei [1 ]
Chen, Zhigang [1 ]
Ren, Xiongwei [1 ]
机构：
[1] Navy Univ Engn, Wuhan 430033, Peoples R China
来源：
ADVANCES IN SWARM INTELLIGENCE, PT1 | 2014年 / 8794卷
关键词：
Underwater unmanned vehicle; autonomous suspending control; amendment factor; particle swarm optimization;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For the specific needs of the underwater unmanned vehicle (UUV) in the working environment, the autonomous suspending control method for UUV based on amendment of fuzzy control rules is advanced. According to the traditional fuzzy controller, this method based on particle swarm optimization (PSO) for online search strategies adjusts the amendment of fuzzy control rules in time. This online optimization of fuzzy control method has a faster convergence speed, and can effectively adaptive adjust the motion state of UUV, which carries out the autonomous suspending control within the scope of predetermined depth for the accuracy and robustness. It is illuminated by simulation experiments that this autonomous suspending control method for UUV based on amendment of fuzzy control rules is more effective against uncertain disturbance and serious nonlinear, time change process.
引用
收藏
页码：318 / 323
页数：6
相关论文
共 50 条
  • [1] The autonomous suspending control method for underwater unmanned vehicle based on amendment of fuzzy control rules
    Peng, Pengfei
    Chen, Zhigang
    Ren, Xiongwei
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, 8794 : 318 - 323
  • [2] Autonomous control logic to guide unmanned underwater vehicle
    不详
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1996, 11 (05): : 87 - 88
  • [3] Fuzzy Logic Based Depth Control of an Autonomous Underwater Vehicle
    Nag, Anirban
    Patel, Surendra Singh
    Akbar, S. A.
    2013 IEEE INTERNATIONAL MULTI CONFERENCE ON AUTOMATION, COMPUTING, COMMUNICATION, CONTROL AND COMPRESSED SENSING (IMAC4S), 2013, : 117 - 123
  • [4] Autonomous Underwater Vehicle Heading Control Based on Sliding Mode Fuzzy Control
    Ding, Hao
    Wang, De-Shi
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION (ICMS2009), VOL 4, 2009, : 505 - 508
  • [5] Research on autonomous control of unmanned underwater vehicle for oceanographic survey
    Yan, Zheping
    Zhao, Yufei
    Chen, Tao
    Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University, 2013, 34 (09): : 1152 - 1158
  • [6] Path following control of autonomous underwater vehicle based upon fuzzy hybrid control
    Ma, Ling
    Cui, Wei-Cheng
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2006, 23 (03): : 341 - 346
  • [7] Analysis on the landing strategy of autonomous underwater vehicle based on fuzzy control
    Wang, Xiaoming
    Zhang, Hongwei
    Wang, Shuxin
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2009, 45 (03): : 84 - 88
  • [8] OPTIMIZED FUZZY CONTROL DESIGN OF AN AUTONOMOUS UNDERWATER VEHICLE
    Raeisy, B.
    Safavi, A. A.
    Khayatian, A. R.
    IRANIAN JOURNAL OF FUZZY SYSTEMS, 2012, 9 (02): : 25 - 41
  • [9] FUZZY-LOGIC CONTROL OF AN AUTONOMOUS UNDERWATER VEHICLE
    SMITH, SM
    RAE, GJS
    ANDERSON, DT
    SHEIN, AM
    CONTROL ENGINEERING PRACTICE, 1994, 2 (02) : 321 - 331
  • [10] Robustness of Fuzzy Logic based Controller for Unmanned Autonomous Underwater Vehicle
    Kumar, G. V. Nagesh
    Sobhan, P. V. S.
    Rao, K. A. Gopala
    Chowdary, D. Deepak
    IEEE REGION 10 COLLOQUIUM AND THIRD INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS, VOLS 1 AND 2, 2008, : 484 - +
12345