Adaptive Attitude Controller Design of Autonomous Underwater Vehicle Focus on Decoupling

被引:0
|
作者
Liu Xin-yu [1 ,2 ]
Li Yi-ping [1 ,2 ]
Yan Shu-xue [1 ,2 ]
Feng Xi-sheng [2 ]
机构
[1] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China
关键词
AUV; L1 adaptive control; CFD; PITCH CONTROL;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a method to design adaptive attitude controller of autonomous underwater vehicle (AUV). The main purpose of this design is to adapt to the error caused by coupling between different controls channels as time-varying errors. In this paper, system identification method is not used to get the dynamic model directly, but to simplify the hydrodynamic model and quantize the effect caused by coupling as error of parameters. Computational-fluid-dynamics (CFD) method is used to build a hydrodynamic model to increase the experiment data and simulate the effect of coupling. And on this basis, An L1 adaptive controller can get enough resources to be build. In the final simulation, the acquired controller reveals better performance than an elaborately tuned PID controller. The L1 adaptive controller can handle the coupling better. The output of the controlled system can follow a response of a given transfer function, which benefits the controller design in outer loop.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] An Adaptive and Predictive Controller Design for Lateral Control of an Autonomous Vehicle
    Ercan, Ziya
    Gokasan, Metin
    Borrelli, Francesco
    [J]. 2017 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES), 2017, : 13 - 18
  • [22] Modeling and control of autonomous underwater vehicle (AUV) in heading and depth attitude via self-adaptive fuzzy PID controller
    Mohammad Hedayati Khodayari
    Saeed Balochian
    [J]. Journal of Marine Science and Technology, 2015, 20 : 559 - 578
  • [23] Design of Autonomous Underwater Vehicle
    Hyakudome, Tadahiro
    [J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2011, 8 (01): : 122 - 130
  • [24] Modeling and control of autonomous underwater vehicle (AUV) in heading and depth attitude via self-adaptive fuzzy PID controller
    Khodayari, Mohammad Hedayati
    Balochian, Saeed
    [J]. JOURNAL OF MARINE SCIENCE AND TECHNOLOGY, 2015, 20 (03) : 559 - 578
  • [25] DESIGN OF ADAPTIVE FUZZY FRACTIONAL ORDER PID CONTROLLER FOR AUTONOMOUS UNDERWATER VEHICLE (AUV) IN HEADING AND DEPTH ATTITUDES
    Khodayari, M. H.
    Balochian, S.
    [J]. INTERNATIONAL JOURNAL OF MARITIME ENGINEERING, 2016, 158 : A31 - A48
  • [26] Adaptive controller for a biomimetic underwater vehicle
    Plamondon, Nicolas
    Nahon, Meyer
    [J]. JOURNAL OF UNMANNED VEHICLE SYSTEMS, 2013, 1 (01): : 1 - 13
  • [27] A neural network adaptive controller design for free-pitch-angle diving behavior of an autonomous underwater vehicle
    Li, JH
    Lee, PM
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2005, 52 (2-3) : 132 - 147
  • [28] Design of a sliding mode fuzzy controller for the guidance and control of an autonomous underwater vehicle
    Guo, J
    Chiu, FC
    Huang, CC
    [J]. OCEAN ENGINEERING, 2003, 30 (16) : 2137 - 2155
  • [29] Design of a waypoint-tracking controller for a biomimetic-autonomous underwater vehicle
    Guo, JW
    Tsai, JF
    Chiu, FC
    Cheng, SW
    Ho, YS
    [J]. OCEANS 2003 MTS/IEEE: CELEBRATING THE PAST...TEAMING TOWARD THE FUTURE, 2003, : 333 - 339
  • [30] Development of a NARMAX based Constraint-Adaptive Heading Controller for an Autonomous Underwater Vehicle
    Rout, Raja
    Subudhi, Bidyadhar
    Mahapatra, Subhasish
    [J]. OCEANS 2016 - SHANGHAI, 2016,