Finite-Time Extended State Observe Based Fault Tolerant Control for Autonomous Underwater Vehicle with Unknown Thruster Fault

被引:2
作者
Liu, Xiaofeng [1 ]
Zhang, Mingjun [1 ]
Liu, Xing [1 ]
Zhao, Wende [1 ]
机构
[1] Coll Mech & Elect Engn, Harbin 150001, Peoples R China
基金
中国国家自然科学基金;
关键词
autonomous underwater vehicles; fault tolerant control; finite-time extended state observer; nonsingular fast terminal sliding mode; parameter adjustment; TRACKING CONTROL; ACTUATOR FAULTS; SYSTEMS; IDENTIFICATION;
D O I
10.3390/jmse10111624
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
This paper investigates the problem of fault tolerant control (FTC) for autonomous underwater vehicles (AUVs) with multiple thrusters in the presence of current disturbances, thruster faults, and modelling uncertainty. This paper focuses on the problems of reducing the energy consumption caused by the chattering of control signals and improving the tracking accuracy of an AUV operating in deep-sea environments. In view of the problem of large energy consumption in some other methods, a fault tolerant control method for multiple-thruster AUVs based on a finite-time extended state observer (FTESO) is proposed. More specifically, a FTESO based on an integral sliding mode surface is designed to estimate the generalized uncertainty compounded using current disturbances, thruster faults, and modelling uncertainty. The fast finite-time uniformly ultimately bounded stability of the proposed FTESO is analyzed. Then, based on the estimated value of FTESO, an FTC method based on non-singular fast terminal sliding mode surfaces is developed for AUVs. The finite-time convergence of the closed-loop control system is proved theoretically. In this design, two different sliding mode surfaces are used to design FTESO and FTC, in order to avoid the appearance of singularities. Moreover, a parameter adjustment method is designed to improve tracking accuracy. Finally, comparative numerical simulations show that the proposed control scheme is effective at reducing energy consumption and improving tracking accuracy.
引用
收藏
页数:17
相关论文
共 36 条
[1]   Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control [J].
Al-Mahturi, Ayad ;
Santoso, Fendy ;
Garratt, Matthew A. ;
Anavatti, Sreenatha G. .
IEEE ACCESS, 2021, 9 :119520-119532
[2]   Finite-time extended state observer based nonsingular fast terminal sliding mode control of autonomous underwater vehicles [J].
Ali, Nihad ;
Tawiah, Isaac ;
Zhang, Weidong .
OCEAN ENGINEERING, 2020, 218 (218)
[3]   Active Fault Tolerant Control for uncertain neutral time delay system [J].
Benjemaa, R. ;
Elhsoumi, A. ;
Naoui, S. Bel Hadj Ali .
PROCEEDINGS OF THE 2020 17TH INTERNATIONAL MULTI-CONFERENCE ON SYSTEMS, SIGNALS & DEVICES (SSD 2020), 2020, :285-289
[4]   Geometric homogeneity with applications to finite-time stability [J].
Bhat, SP ;
Bernstein, DS .
MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2005, 17 (02) :101-127
[5]   Non-Linear Bandwidth Extended-State-Observer Based Non-Smooth Funnel Control for Motor-Drive Servo Systems [J].
Cheng, Yun ;
Ren, Xuemei ;
Zheng, Dongdong ;
Li, Linwei .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 69 (06) :6215-6224
[6]   Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance [J].
Chu, Zhenzhong ;
Wang, Fulun ;
Lei, Tingjun ;
Luo, Chaomin .
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 8 (01) :108-120
[7]   A fault diagnosis method for underwater thruster based on RFR-SVM [J].
Chu, Zhenzhong ;
Li, Zhiqiang ;
Gu, Zhenhao ;
Chen, Yunsai ;
Zhang, Mingjun .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART M-JOURNAL OF ENGINEERING FOR THE MARITIME ENVIRONMENT, 2023, 237 (02) :520-530
[8]   Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities [J].
Cui, Rongxin ;
Chen, Lepeng ;
Yang, Chenguang ;
Chen, Mou .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (08) :6785-6795
[9]  
Fossen T. I., 2011, HDB MARINE CRAFT HYD, DOI 10.1002/9781119994138
[10]   Active fault-tolerant control of a Schon''flies parallel manipulator based on time delay estimation [J].
Ghaf-Ghanbari, Pegah ;
Mazare, Mahmood ;
Taghizadeh, Mostafa .
ROBOTICA, 2021, 39 (08) :1518-1535