Robust proportional derivative (PD)-like fuzzy control designs for diving and steering planes control of an autonomous underwater vehicle

被引:14
|
作者
Londhe, P. S. [1 ]
Patre, B. M. [1 ]
Waghmare, L. M. [1 ]
Santhakumar, M. [2 ]
机构
[1] Shri Guru Gobind Singhji Inst Engn & Technol, Dept Instrumentat Engn, Nanded, Maharashtra, India
[2] Indian Inst Technol, Sch Engn, Discipline Mech Engn, Indore, Madhya Pradesh, India
关键词
Autonomous underwater vehicle (AUV); fuzzy logic control; robust proportional derivative (PD)-like fuzzy controller (PD-FZ); steering and depth plane controls; Lyapunov stability; SLIDING MODE CONTROL; UNDERACTUATED AUVS; TRAJECTORY CONTROL; PD CONTROLLER; TRACKING; SYSTEMS;
D O I
10.3233/JIFS-16501
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a highly non-linear model with six degrees of freedom (DOF) is used for the manoeuvring and depth control of an autonomous underwater vehicle (AUV). A simplified scheme to design a conventional fuzzy logic controller known as robust Proportional Derivative (PD)-like Fuzzy Controller (PD-FZ) is designed separately for diving and steering subsystems of an AUV and then applied for combined steering, diving and speed control functions. Simulation results are shown by using the slender form of the Naval Post-Graduate School (NPS, Monterey, CA) AUV. Results of simulation studies using a nonlinear AUV dynamics are presented under the presence of any bounded ocean currents orwave disturbances and results show that proposed controller gives robust performance against these disturbances and modeling nonlinearity. Waypoint acquisition based on line of sight guidance is used to achieve path tracking.
引用
收藏
页码:2509 / 2522
页数:14
相关论文
共 50 条
  • [41] Robust task-space control of an autonomous underwater vehicle-manipulator system by PID-like fuzzy control scheme with disturbance estimator
    Londhe, P. S.
    Mohan, S.
    Patre, B. M.
    Waghmare, L. M.
    OCEAN ENGINEERING, 2017, 139 : 1 - 13
  • [42] Single Input Fuzzy Logic Controller tuning for Steering Control of Autonomous Underwater Vehicle: Genetic Algorithm Approach
    Tiwari, Kunal N.
    Waghmare, L. M.
    Krishnankutty, P.
    2016 INDIAN CONTROL CONFERENCE (ICC), 2016, : 335 - 340
  • [43] Steering Control in Electric Power Steering Autonomous Vehicle Using Type-2 Fuzzy Logic Control and PI Control
    Arifin, Bustanul
    Suprapto, Bhakti Yudho
    Prasetyowati, Sri Arttini Dwi
    Nawawi, Zainuddin
    WORLD ELECTRIC VEHICLE JOURNAL, 2022, 13 (03):
  • [44] Path following control of autonomous underwater vehicle based upon fuzzy hybrid control
    Ma, Ling
    Cui, Wei-Cheng
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2006, 23 (03): : 341 - 346
  • [45] Using a high order sliding modes for diving control a torpedo autonomous underwater vehicle
    Salgado-Jiménez, T
    Jouvencel, B
    OCEANS 2003 MTS/IEEE: CELEBRATING THE PAST...TEAMING TOWARD THE FUTURE, 2003, : 934 - 939
  • [46] Diving Control of an Autonomous Underwater Vehicle using Nonlinear H∞ Measurement Feedback Technique
    Mahapatra, Subhasish
    Subudhi, Bidyadhar
    Rout, Raja
    OCEANS 2016 - SHANGHAI, 2016,
  • [47] Robust control for an autonomous underwater vehicle that suppresses pitch and yaw coupling
    Petrich, Jan
    Stilwell, Daniel J.
    OCEAN ENGINEERING, 2011, 38 (01) : 197 - 204
  • [48] Diving control of an Autonomous Underwater Vehicle using nonlinear H∞ measurement feedback technique
    Mahapatra, Subhasish
    Subudhi, Bidyadhar
    Rout, Raja
    OCEANS 2016 - Shanghai, 2016,
  • [49] Nonlinear robust fuzzy distributed control of vehicle steering with saturation constraint
    Sun C.
    Fang L.
    Tong B.
    Zhendong yu Chongji/Journal of Vibration and Shock, 2022, 41 (04): : 77 - 85and149
  • [50] Fuzzy Logic Guidance of a Control-Configured Autonomous Underwater Vehicle
    Peng, Xue-feng
    Zhang, Jin-ju
    Li, Peng
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 3989 - 3993