Simulation of control strategy for marine electric propulsion system under rough sea conditions

  • LIAO Lin-hao ,
  • GAO Hai-bo ,
  • LIN Zhi-guo ,
  • XIONG Liu-qing ,
  • CHEN Ya-jie ,
  • WANG Qi
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  • (1.School of Energy and Power Engineering,Wuhan University of Technology, Wuhan 430063, China; 2. The 711th Research Institute,China Shipbuilding 
    Industry Corporation, Shanghai 201101, China)

Received date: 2019-09-05

  Revised date: 2019-11-03

  Online published: 2019-11-03

Abstract

Aiming at the problem of inadequate adaptability of conventional control strategy of electric propulsion system under rough sea conditions, an anti-spin thruster control strategy for marine electric propulsion system was proposed. Firstly, the influence of water entry and exit on thrust and torque of propeller under rough sea condition was analyzed, the anti-spin thruster control strategy with dynamic speed limiting module (anti-spin thruster control strategy #1) and anti-spin thruster control strategy with ventilation identification module ( anti-spin thruster control strategy #2) were proposed, and three kinds of suction effect recognizers were designed in the latter to detect inspiratory effect. Secondly, the propulsion control simulation model was built in Matlab/Simulink environment. Finally, the simulation experiment under rough sea condition was designed to compare the performance between the conventional control strategy and the antispin thruster control strategy. The simulation results show that the anti-spin thruster control strategy with suction identification module has excellent control performance under the rough sea conditions.

Cite this article

LIAO Lin-hao , GAO Hai-bo , LIN Zhi-guo , XIONG Liu-qing , CHEN Ya-jie , WANG Qi . Simulation of control strategy for marine electric propulsion system under rough sea conditions[J]. Journal of Dalian Maritime University, 2020 , 46(1) : 57 -65 . DOI: 10.16411/j.cnki.issn1006-7736.2020.01.007

References

[1]Geertsma R D, Negenborn R R, Visser K, et al.Design and control of hybrid power and propulsion systems for smart ships : A review of developments[J]. Applied Energy, 2017: 30-54.[J].Applied Energy, 2017, :30-54 [2]Yoerger D R, Cooke J G, Slotine J E, et al.The influence of thruster dynamics on underwater vehicle behavior and their incorporation into control system design[J].IEEE Journal of Oceanic Engineering, 1990, 15(3):167-178 [3]Whitcomb L L, Yoerger D R.Preliminary experiments in model-based thruster control for underwater vehicle positioning[J].IEEE Journal of Oceanic Engineering, 1999, 24(4):495-506 [4]Fossen T I, Blanke M.Nonlinear output feedback control of underwater vehicle propellers using feedback form estimated axial flow velocity[J].IEEE Journal of Oceanic Engineering, 2000, 25(2):241-255 [5]Blank M., Busk Nielsen. Marine Engine Governor[C]. In Proceedings of the second international conference on maritime communications and control. London, UK. pp. 11–20. [6]Sorensen A J, Adnanes A K, Fossen T I, et al.A New Method of Thruster Control in Positioning of Ships Based on Power Control[J].IFAC Proceedings Volumes, 1997, 30(22):199-206 [7]Smogeli O N, Sorensen A J, Fossen T I, et al.Design of a hybrid powertorque thruster controller with loss estimation[J].IFAC Proceedings Volumes, 2004, 37(10):409-414 [8]Guo B, Bitnergregersen E M, Sun H, et al.Statistics analysis of ship response in extreme seas[J]. Ocean Engineering, 2016: 154-164.[J].Ocean Engineering, 2016, :154-164 [9]Smogeli O N, Sorensen A J, Minsaas K J, et al.The concept of anti-spin thruster control[J].Control Engineering Practice, 2008, 16(4):465-481 [10]Koushan, K.Dynamics of Ventilated Propeller Blade Loading on Thrusters, World Maritime Technology Conference (WMTC’06), 2006[C]. London, U.K. [11]郭春雨,赵大刚,王超,等.波浪状态下的螺旋桨水动力性能实验研究英文[J].船舶力学, 2012, 16(09):1005-1015 [12]郭春雨, 张东汗, 王恋舟, 孙守超.近自由液面螺旋桨吸气数值模拟[J].华中科技大学学报自然科学版, 2019, 47(02):81-86 [13]Faltinsen O M, Minsaas K J, Liapis N, et al.Prediction of resistance and propulsion of a ship in a seaway[C]. Tokyo: Proceedings of the Thirteenth Symposium on Naval Hydrodynamics, 1980. [14]汪桐萱,任倩,梁景凯.恶劣海况下船舶电力推进系统抗过旋控制研究[J].舰船科学技术, 2016, 38(17):78-82 [15]窦孝钦.恶劣海况下电力推进系统控制策略仿真研究[D]武汉:武汉理工大学, 2015. [16]yvind N S, Aarseth L, Over? E S, et al.Anti-Spin Thruster Control in Extreme Seas[J].IFAC Proceedings Volumes, 2003, 36(21):187-192 [17]?yvind N S.Control of Marine Propellers From Normal to Extreme Conditions[D]. Norway: Norwegian University of Science and Technology, 2006. [18]许国根.模式识别与智能计算的MATLAB实现[M].北京:北京航空航天大学出版社,2012:125-129. [19]杨淑莹.模式识别与智能计算 MATLAB技术实现[M].北京:电子工业出版社,2015:87-136. [20]Oosterveld M W C, Ossanen P.Further computer analyzed data of the Wageningen B-screw series[J].International Shipbuilding Progress, 1975, 22(251):251-262
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