Electronics and Electrical Engineering and Control

Nonlinear disturbance observer enhanced adaptive backstepping tracking control for coaxial HAUV

  • Mingqing LU ,
  • Fei LIAO ,
  • Fukui GAO ,
  • Beibei XING ,
  • Shichong WU ,
  • Zhaolin FAN ,
  • Yumin SU ,
  • Wenhua WU
Expand
  • 1.National Key Laboratory of Autonomous Marine Vehicle Technology,Harbin Engineering University,Harbin  150001,China
    2.Key Laboratory of Cross-domain Flight Crossover Technology,China Aerodynamics Research and Development Center,Mianyang  621000,China
    3.School of Oceanography,Shanghai Jiao Tong University,Shanghai  200240,China
    4.School of Systems Science and Engineering,Sun Yat-Sen University,Zhongshan  510006,China

Received date: 2024-03-08

  Revised date: 2024-04-19

  Accepted date: 2024-07-19

  Online published: 2024-08-05

Supported by

The Feng Lei Youth Innovation Fund of CARDC(FL018070012);National Defense Key Laboratory Fund(614222003061709)

Abstract

The stable and accurate trajectory tracking is a prerequisite for Hybrid Aerial Underwater Vehicle (HAUV) to achieve trans-media motion operation. To address the trajectory tracking control problem of coaxial HAUV in water-air cross-medium environments, which faces modeling uncertainty and complex interference, a Nonlinear Disturbance Observer (NDO) enhanced Adaptive Backstepping Controller (ABSC) is designed. The cross-domain mechanism of coaxial HAUV is analyzed, the additional variables such as water, wind and wave are fully considered, and a continuous cross-media dynamic model is established by using smooth and continuous transition function design. Based on the basic framework of Backstepping Controller(BSC), the integrated NDO is used to estimate lumped uncertainty which is difficult to measure, and an adaptive algorithm is introduced to compensate the observation error of NDO. The combination of adaptive algorithm and NDO improves the robustness of the system. The stability of the closed loop system is proved by Lyapunov theory. The simulation results show that the controller designed in this paper has a strong ability to suppress the unknown disturbance and can effectively track the water-air cross-domain trajectory.

Cite this article

Mingqing LU , Fei LIAO , Fukui GAO , Beibei XING , Shichong WU , Zhaolin FAN , Yumin SU , Wenhua WU . Nonlinear disturbance observer enhanced adaptive backstepping tracking control for coaxial HAUV[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(23) : 330361 -330361 . DOI: 10.7527/S1000-6893.2024.30361

References

1 SHAKHATREH H, SAWALMEH A H, AL-FUQAHA A, et al. Unmanned aerial vehicles (UAVs): A survey on civil applications and key research challenges[J]. IEEE Access20197: 48572-48634.
2 LIU X, ZHANG M J, CHEN J W, et al. Trajectory tracking with quaternion-based attitude representation for autonomous underwater vehicle based on terminal sliding mode control[J]. Applied Ocean Research2020104: 102342.
3 YANG X B, WANG T M, LIANG J H, et al. Survey on the novel hybrid aquatic-aerial amphibious aircraft: Aquatic unmanned aerial vehicle (AquaUAV)[J]. Progress in Aerospace Sciences201574: 131-151.
4 PELOQUIN R A, THIBAULT D, DESBIENS A L. Design of a passive vertical takeoff and landing aquatic UAV[J]. IEEE Robotics and Automation Letters20172(2): 381-388.
5 DREWS P L J, NETO A A, CAMPOS M F M. Hybrid unmanned aerial underwater vehicle: Modeling and simulation[C]∥2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. Piscataway: IEEE Press, 2014: 4637-4642.
6 ZIMMERMAN S, ABDELKEFI A. Review of marine animals and bioinspired robotic vehicles: Classifications and characteristics[J]. Progress in Aerospace Sciences201793: 95-119.
7 ZENG Z, LYU C X, BI Y B, et al. Review of hybrid aerial underwater vehicle: Cross-domain mobility and transitions control[J]. Ocean Engineering2022248: 110840.
8 MAIA M M, MERCADO D A, DIEZ F J. Design and implementation of multirotor aerial-underwater vehicles with experimental results[C]∥2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Piscataway: IEEE Press, 2017: 961-966.
9 MERCADO D A, MAIA M M, DIEZ F J. Aerial-underwater systems, a new paradigm in unmanned vehicles[C]∥2017 International Conference on Unmanned Aircraft Systems (ICUAS). Piscataway: IEEE Press, 2017: 1690-1695.
10 ALZU’BI H, MANSOUR I, RAWASHDEH O. Loon Copter: Implementation of a hybrid unmanned aquatic-aerial quadcopter with active buoyancy control[J]. Journal of Field Robotics201835(5): 764-778.
11 QI D, FENG J F, LI Y L. Dynamic model and ADRC of a novel water-air unmanned vehicle for water entry with in-ground effect[J]. Journal of Vibroengineering201618(6): 3743-3756.
12 MA Z C, FENG J F, YANG J. Research on vertical air-water trans-media control of Hybrid Unmanned Aerial Underwater Vehicles based on adaptive sliding mode dynamical surface control[J]. International Journal of Advanced Robotic Systems201815(2): 172988141877053.
13 CHEN Y Q, LIU Y W, MENG Y R, et al. System modeling and simulation of an unmanned aerial underwater vehicle?[J]. Journal of Marine Science and Engineering20197(12): 444.
14 CHEN Q, ZHU D Q, LIU Z B. Attitude control of aerial and underwater vehicles using single-input Fuzzy P+ID controller?[J]. Applied Ocean Research2021107: 102460.
15 LU D, XIONG C K, ZENG Z, et al. Adaptive dynamic surface control for a hybrid aerial underwater vehicle with parametric dynamics and uncertainties[J]. IEEE Journal of Oceanic Engineering202045(3): 740-758.
16 LU D, GUO Y H, XIONG C K, et al. Takeoff and landing control of a hybrid aerial underwater vehicle on disturbed water’s surface[J]. IEEE Journal of Oceanic Engineering202247(2): 295-311.
17 王琛, 惠倩倩, 张帆. 水空跨域多模态共轴无人机设计[J]. 航空学报202344(21): 529047.
  WANG C, ( XI/HUI) Q Q, ZHANG F. Design of water-air cross-domain multi-mode coaxial UAV[J]. Acta Aeronautica et Astronautica Sinica202344(21): 529047 (in Chinese).
18 LU M Q, LIAO F, XING B B, et al. Adaptive finite-time trajectory tracking control for coaxial HAUVs facing uncertainties and unknown environmental disturbances[J]. Applied Sciences202313(14): 8026.
19 颜奇民, 胡俊华, 陈国明, 等. 双层四旋翼跨介质航行器水空跨越建模与控制[J]. 飞行力学202038(5): 7.
  YAN Q M, HU J H, CHEN G M, et al. Modeling and control on air-water crossing of a double-layer quadrotor trans-media vehicle[J]. Flight Dynamics202038(5): 7 (in Chinese).
20 盛振邦, 刘应中. 船舶原理-下册[M]. 上海: 上海交通大学出版社, 2004.
  SHENG Z B, LIU Y Z. Principles of ships-volume II[M]. Shanghai: Shanghai Jiao Tong University Press, 2004 (in Chinese).
21 ZHU C, HUANG B, ZHOU B, et al. Adaptive model-parameter-free fault-tolerant trajectory tracking control for autonomous underwater vehicles[J]. ISA Transactions2021114: 57-71.
22 赵永生, 曹健, 范云生, 等. 基于干扰观测器的四旋翼轨迹跟踪控制[J]. 控制工程202128(4): 628-637.
  ZHAO Y S, CAO J, FAN Y S, et al. Trajectory tracking control for a quadrotor based on disturbance observer[J]. Control Engineering of China202128(4): 628-637 (in Chinese).
23 LIU J, GAI W D, ZHANG J, et al. Nonlinear adaptive backstepping with ESO for the quadrotor trajectory tracking control in the multiple disturbances[J]. International Journal of Control, Automation and Systems201917(11): 2754-2768.
24 LIU S Y, LIU Y C, WANG N. Nonlinear disturbance observer-based backstepping finite-time sliding mode tracking control of underwater vehicles with system uncertainties and external disturbances[J]. Nonlinear Dynamics201788(1): 465-476.
25 BI Y B, LU D, ZENG Z, et al. Dynamics and control of hybrid aerial underwater vehicle subject to disturbances[J]. Ocean Engineering2022250: 110933.
Outlines

/