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Control of Unmanned Surface Vehicle along the desired trajectory using improved Line of Sight and estimated sideslip angle

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In order to improve the accuracy and robustness of path following control for an Unmanned Surface Vehicle (USV) suffering from unknown and complex disturbances, a variable speed curve path following a control method based on an extended state observer was proposed. Firstly, the effect of the environmental disturbances on the USV is equivalent to an unknown and time-varying sideslip angle, and the sideslip angle is estimated by using the extended state observer (ESO) and compensated in the Line of Sight (LOS) guidance law. Secondly, based on the traditional LOS guidance law, the design of the surge velocity guidance law is added to enable the USV to self-adjust the surge velocity according to the curvature of the curve path, thus further improving the tracking accuracy. Finally, the heading and speed controller of the USV is designed by using a sliding mode control to track the desired heading and speed accurately, and then the path following control of the USV’s curve path is realised. Simulation results verify the effectiveness of the proposed method.
Rocznik
Tom
Strony
18--26
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
autor
  • China University of Petroleum 66 Changjiang West Road 266580 Qingdao China
autor
  • China University of Petroleum 66 Changjiang West Road 266580 Qingdao China
autor
  • First Institute of Oceanography Ministry of Natural Resources No. 6 Xianxialing Road 266061 Qingdao China
autor
  • China University of Petroleum 66 Changjiang West Road 266580 Qingdao China
Bibliografia
  • 1. E. Børhaug, A. Pavlov and K.Y. Pettersen, “Integral LOS control for path following of underactuated marine surface vessels in the presence of constant ocean currents,” in 47th IEEE Conference on Decision and Control, Cancun, Mexico, December 9–11, 2008, pp. 4984–4991.
  • 2. W. Caharija, M. Candeloro, K.Y. Pettersen, et al., “Relative Velocity Control and Integral LOS for Path Following of Underactuated Surface Vessels,” IFAC Proceedings, vol. 45, pp. 380–385, September 2012.
  • 3. A.M. Lekkas, Guidance and path-planning systems for autonomous vehicles, Norway: Norwegian University of Science and Technology, 2014.
  • 4. Y. Qu, H. Xu, W. Yu, et al., “Integral Line-of-sight Guidance for Path Following of Underactuated Marine Surface Vessels,” Journal of Wuhan University of Technology (Transportation Science & Engineering), vol. 40, pp. 834–838, October 2016.
  • 5. D. Mu, G. Wang, Y. Fan, et al., “Adaptive LOS Path Following for a Podded Propulsion Unmanned Surface Vehicle with Uncertainty of Model and Actuator Saturation,” Applied Sciences, vol. 7, pp. 1232–1251, November 2017.
  • 6. X. Chen, Z. Liu, J. Zhang, et al., “Path following of underactuated USV based on modified integral line-ofsight guidance strategies,” Journal of Beijing University of Aeronautics and Astronautics, vol. 44, pp. 489–499, September 2018.
  • 7. Y. Fan, C. Guo, Y. Zhao, G. Wang, W. Shi, “Design and verification of straight-line path following controller for USV with time-varying drift angle,” Chinese Journal of Scientific Instrument, vol. 37, pp. 2514–2520, November 2016.
  • 8. S. Moe, K.Y. Pettersen, T.I. Fossen, et al., “Line-of-Sight Curved Path Following for Underactuated USVs and AUVs in the Horizontal Plane under the Influence of Ocean Currents,” in 2016 24th Mediterranean Conference on Control and Automation (MED), Athens, Greece, June 21-24, 2016, pp. 38–45.
  • 9. N. Gu, D. Wang, L. Liu, B. Zhang, Z. Peng, “Adaptive lineof-sight guidance law for synchronized path-following of under-actuated unmanned surface vehicles based on lowfrequency learning,” in 36th Chinese Control Conference, Dalian, China, July 26-28, 2017, pp. 6632–6637.
  • 10. N. Wang, X. Pan, “Path Following of Autonomous Underactuated Ships: A Translation–Rotation Cascade Control Approach,” IEEE/ASME Transactions on Mechatronics, vol. 24, pp. 2583–2593, June 2020.
  • 11. Z. Dong, Y. Liu, H. Wang, T. Qin, “Method of Cooperative Formation Control for Underactuated USVS Based on Nonlinear Backstepping and Cascade System Theory,” Polish Maritime Research, vol. 28, no. 1, pp. 149–162, March 2021.
  • 12. L. Wang, W. Yue, R. Zhang, “Consensus for Multiple Unmanned Surface Vehicle (Musv) Systems with Markov Switching Topologies,” Polish Maritime Research, vol. 26, no. 1, pp. 145–152, March 2019.
  • 13. H. Huang, Y. Fan, “Sliding mode based ADRC for curved path following of unmanned surface vessels,” in 2017 Chinese Automation Congress (CAC), Jinan, China, October 20-22, 2017, pp. 4198–4202.
  • 14. Y. Zhou, W. Pan, H. Xiao, “Design of ship course controller based on fuzzy adaptive active disturbance rejection technique,” In International Conference on Automation and Logistics (ICAL), Hong Kong and Macau, China, August 16-20, 2010, pp. 232–236.
  • 15. Z. Qin, Z. Lin, H. Sun, D. Yang, “Sliding-mode control of path following for underactuated ships based on high gain observer,” Journal of Central South University, vol. 23, pp. 3356–3364, January 2016.
  • 16. J. Liu, F. Sun, “Research and development on theory and algorithms of sliding mode control,” Control Theory & Applications, vol. 24, pp. 407–418, June 2007.
  • 17. S. Gao, Q. Zhu, L. Li, “Fuzzy NN control of high-speed unmanned surface vehicle,” Journal of System Simulation, vol. 19, pp. 776–779, February 2007.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4757aa1d-3603-432a-a2f6-5185d6343854
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