Energy-saving control of long-range autonomous underwater vehicle vertical plane based on human simulating intelligent control method

被引:4
|
作者
Xu, Hao [1 ]
Zhang, Guo-cheng [1 ]
Sun, Yu-shan [1 ]
Pang, Shuo [1 ]
机构
[1] Harbin Engn Univ, Sci & Technol Underwater Vehicle Lab, Harbin 150001, Heilongjiang, Peoples R China
关键词
LRAUV; vertical motion; hybrid driven; control allocation; SYSTEM; DESIGN;
D O I
10.1177/1729881420944744
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
The long-range autonomous underwater vehicle is a new underwater vehicle with capability of stereoscopic observation of the ocean over a wide range of time series. This article proposed a novel control strategy for the long-range autonomous underwater vehicle considering the energy consumption. The vertical motion model of long-range autonomous underwater vehicle and the mathematical model of energy consumption of motion actuators are established in this article, and the maneuverability simulation experiments were carried out to analyze its motion and energy consumption characteristics. A hybrid controller based on human simulating intelligent control and S-plane control is designed. Considering the moment caused by the asymmetry of the hull in motion, an adaptive dynamic control allocation strategy is designed. Simulation experiments are conducted to demonstrate the performance of the scheme proposed.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Research on Energy-Saving Control Strategy of Loader Based on Intelligent Identification of Working Stages
    Ma, Zongyu
    Liu, Weiwei
    Li, Changcheng
    Sang, Yong
    Zhang, Yingzhong
    Li, Guofeng
    Xu, Yubing
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2024, 150 (07)
  • [32] Scripting Language for State Configured Layered Control of the Tethys Long Range Autonomous Underwater Vehicle
    Godin, M. A.
    Bellingham, J. G.
    Kieft, B.
    McEwen, R.
    [J]. OCEANS 2010, 2010,
  • [33] Comfort and energy-saving control of electric vehicle based on nonlinear model predictive algorithm
    Dou, Manli
    Shi, Chun
    Wu, Gang
    Liu, Xiaoguang
    [J]. Computer Modelling and New Technologies, 2014, 18 (04): : 249 - 254
  • [34] Study of hybrid electric vehicle energy-saving control based on multi-agent
    Niu L.
    Zhang Q.
    Zhu F.
    Lv J.
    Yang H.
    [J]. International Journal of Vehicle Systems Modelling and Testing, 2023, 16 (03) : 212 - 228
  • [35] Energy-saving Control Method of Air Conditioning in Mushroom House Based on Model Predictive Control
    Zhang X.
    Kong X.
    Zheng W.
    Wang M.
    Shan F.
    Bao F.
    [J]. Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2024, 55 (03): : 352 - 361
  • [36] Attitude Control of Autonomous Underwater Vehicle Based on Improved Firefly PID Method
    You, Lianggen
    Liu, Mingyong
    Shi, Tingchao
    Jiao, Zhenhong
    Niu, Yun
    Wang, Cong
    [J]. GLOBAL OCEANS 2020: SINGAPORE - U.S. GULF COAST, 2020,
  • [37] STABILITY CONTROL OF PROPELLER AUTONOMOUS UNDERWATER VEHICLE BASED ON COMBINED SECTIONS METHOD
    Qi Duo
    Feng Jinfu
    Liu An
    Hu Junhua
    Xu Hu
    Li Yongli
    Ashraf, Muhammad Aqeel
    [J]. POLISH MARITIME RESEARCH, 2015, 22 : 157 - 162
  • [38] Depth-keeping control for autonomous underwater vehicle in vertical plane using adaptive output feedback controller
    [J]. Zhang, L.-J. (zhanglj@hrbeu.edn.cn), 1600, South China University of Technology (29):
  • [39] Low-level control technology of micro autonomous underwater vehicle based on intelligent computing
    Zhang, Lanyong
    Zhang, Lei
    Liu, Sheng
    Zhou, Jiajia
    Papavassiliou, Christos
    [J]. CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4): : S8569 - S8580
  • [40] Low-level control technology of micro autonomous underwater vehicle based on intelligent computing
    Lanyong Zhang
    Lei Zhang
    Sheng Liu
    Jiajia Zhou
    Christos Papavassiliou
    [J]. Cluster Computing, 2019, 22 : 8569 - 8580