Quantized Output-Feedback Control for Unmanned Marine Vehicles With Thruster Faults via Sliding-Mode Technique

被引:71
作者
Hao, Li-Ying [1 ]
Yu, Ying [1 ]
Li, Tie-Shan [2 ,3 ]
Li, Hui [4 ]
机构
[1] Dalian Maritime Univ, Marine Elect Engn Coll, Dalian 116026, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Automat Engn, Chengdu 611731, Peoples R China
[3] Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China
[4] Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China
基金
中国国家自然科学基金;
关键词
Attitude control; Quantization (signal); Vehicle dynamics; Marine vehicles; Feedback control; Velocity measurement; Simulation; Quantized output feedback; sliding-mode technique; thruster faults; unmanned marine vehicles (UMVs); UNCERTAIN LINEAR-SYSTEMS; INPUT QUANTIZATION; TRACKING CONTROL; TOLERANT CONTROL; SHIP;
D O I
10.1109/TCYB.2021.3050003
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article is concerned with the quantized output-feedback control problem for unmanned marine vehicles (UMVs) with thruster faults and ocean environment disturbances via a sliding-mode technique. First, based on output information and compensator states, an augmented sliding surface is constructed and sliding-mode stability through linear matrix inequalities can be guaranteed. An improved quantization parameter dynamic adjustment scheme, with a larger quantization parameter adjustment range, is then given to compensate for quantization errors effectively. Combining the quantization parameter adjustment strategy and adaptive mechanism, a novel robust sliding-mode controller is designed to guarantee the asymptotic stability of a closed-loop UMV system. As a result, a smaller lower bound of the thruster fault factor than that of the existing result can be tolerated, which brings more practical applications. Finally, the comparison simulation results have illustrated the effectiveness of the proposed method.
引用
收藏
页码:9363 / 9376
页数:14
相关论文
共 29 条
  • [1] BOYD S, 1993, PROCEEDINGS OF THE 1993 AMERICAN CONTROL CONFERENCE, VOLS 1-3, P2147
  • [2] Caccia M., 2008, Proceedings of IFAC Conference on Control Applications in Marine Systems, P3070
  • [3] Decentralized Event-triggered Control for Interconnected Systems with Unknown Disturbances
    Cai, Jianping
    Yu, Rui
    Wang, Binrui
    Mei, Congli
    Shen, Lujuan
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (03): : 1494 - 1515
  • [4] Adaptive Fuzzy Sliding Mode Control for Network-Based Nonlinear Systems With Actuator Failures
    Chen, Liheng
    Liu, Ming
    Huang, Xianlin
    Fu, Shasha
    Qiu, Jianbin
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 26 (03) : 1311 - 1323
  • [5] Output feedback stabilization of uncertain fuzzy systems using variable structure system approach
    Choi, Han Ho
    [J]. FUZZY SETS AND SYSTEMS, 2009, 160 (19) : 2812 - 2823
  • [6] A nonlinear fault-tolerant thruster allocation architecture for underwater remotely operated vehicles
    Corradini, Maria Letizia
    Cristofaro, Andrea
    [J]. IFAC PAPERSONLINE, 2016, 49 (23): : 285 - 290
  • [7] Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks
    Deng, Chao
    Wen, Changyun
    [J]. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2020, 7 (03): : 1308 - 1318
  • [8] Cooperative Fault-Tolerant Output Regulation for Multiagent Systems by Distributed Learning Control Approach
    Deng, Chao
    Che, Wei-Wei
    Shi, Peng
    [J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (11) : 4831 - 4841
  • [9] Nonlinear output feedback control of dynamically positioned ships using vectorial observer backstepping
    Fossen, TI
    Grovlen, A
    [J]. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 1998, 6 (01) : 121 - 128
  • [10] Identification of dynamically positioned ships
    Fossen, TI
    Sagatun, SI
    Sorensen, AJ
    [J]. CONTROL ENGINEERING PRACTICE, 1996, 4 (03) : 369 - 376