Conditional Disturbance-Compensation Control for an Overactuated Manned Submersible Vehicle

被引:3
作者
Fang, Xing [1 ]
Ruan, Zhongyi [1 ]
Zhao, Shunyi [1 ]
Liu, Fei [1 ]
机构
[1] Jiangnan Univ, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Attitude control; Fuzzy logic; Azimuth; Estimation; Underwater vehicles; Uncertainty; Oceans; Conditional disturbance-compensation controller; fuzzy logic system (FLS); manned submersible vehicle (MSV); nonlinear disturbance observer (NDOB); quantum-behavior particle swarm optimization (QPSO); SLIDING MODE CONTROL; CONTROL ALLOCATION; TRACKING CONTROL; SUBMARINE; ALGORITHM;
D O I
10.1109/TII.2023.3329682
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 article, a composite control scheme, consisting of the conditional disturbance compensation controller and control allocation, is proposed for a manned submersible vehicle (MSV). First of all, a composite disturbance estimation method combining nonlinear disturbance observer (NDOB) and fuzzy logic system (FLS) is used to estimate the external disturbance and model uncertainty, which can acquire better accuracy than the conventional estimation method with a single NDOB. Second, a new disturbance characterization index (DCI) is proposed for the MSV, which not only indicates whether the disturbance/uncertainty is beneficial to MSV, but also reflects the beneficial degree of the disturbance/uncertainty. A conditional disturbance compensation controller is then developed on the basis of DCI, where the detrimental disturbance/uncertainty is eliminated and the favorable disturbance/uncertainty is reserved to further improve the system performance. Furthermore, a control allocation scheme is proposed to solve the overactuated problem of MSV, which can save energy consumption of the thruster system by making full use of the azimuth thrusters in MSV. Finally, the semiglobal asymptotic stability of the MSV system is rigorously analyzed. The effectiveness of the proposed composite control scheme is also verified by the simulations.
引用
收藏
页码:4828 / 4838
页数:11
相关论文
共 38 条
  • [1] Constrained Control Allocation for Overactuated Aircraft Using a Neurodynamic Model
    Chen, Mou
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 46 (12): : 1630 - 1641
  • [2] Disturbance observer based control for nonlinear systems
    Chen, WH
    [J]. IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2004, 9 (04) : 706 - 710
  • [3] Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
    Cui, Rongxin
    Yang, Chenguang
    Li, Yang
    Sharma, Sanjay
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2017, 47 (06): : 1019 - 1029
  • [4] Development of the Jiaolong Deep Manned Submersible
    Cui, Weicheng
    [J]. MARINE TECHNOLOGY SOCIETY JOURNAL, 2013, 47 (03) : 37 - 54
  • [5] Model-free sliding mode control, theory and application
    Ebrahimi, Nahid
    Ozgoli, Sadjaad
    Ramezani, Amin
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2018, 232 (10) : 1292 - 1301
  • [6] Composite Learning Control of Overactuated Manned Submersible Vehicle With Disturbance/Uncertainty and Measurement Noise
    Fang, Xing
    Liu, Fei
    Gao, Xiang
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 32 (12) : 5575 - 5583
  • [7] Trajectory tracking control for manned submersible system with disturbances via disturbance characterization index approach
    Fang, Xing
    Liu, Fei
    Zhao, Shengya
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (16) : 5641 - 5653
  • [8] FOSSEN T I, 1994, GUIDANCE CONTROL OCE, P105
  • [9] Model Predictive Adaptive Constraint Tracking Control for Underwater Vehicles
    Gan, Wenyang
    Zhu, Daqi
    Hu, Zhen
    Shi, Xianpeng
    Yang, Lei
    Chen, Yunsai
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (09) : 7829 - 7840
  • [10] Qualitative indicator-based guidance scheme for bank-to-turn missiles against couplings and maneuvering targets
    Guo, Jianguo
    Li, Yifei
    Zhou, Jun
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2020, 106