Nonlinear Modeling for a Water-Jet Propulsion USV: An Experimental Study

被引:45
作者
Han, Jianda [1 ]
Xiong, Junfeng [1 ,2 ]
He, Yuqing [1 ]
Gu, Feng [1 ]
Li, Decai [1 ]
机构
[1] Chinese Acad Sci, Shenyang Inst Automat, State Key Lab Robot, Shenyang 110016, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Active modeling; quasi-linear-parameter-varying (qLPV) system; unmanned surface vehicles (USVs); unscented Kalman filter (UKF); IDENTIFICATION; DYNAMICS; SHIP;
D O I
10.1109/TIE.2016.2598322
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although unmanned surface vehicles (USVs) have been extensively researched and applied to many typical scenarios, high-performance autonomous control is still an open problem. One of their major problem stems from the difficulty in constructing a sufficient accurate and sufficient simple control-oriented dynamics model. Owing to the highly complicated physical mechanisms of hydrodynamics, USV systems possess strong nonlinearities and coupling, whichmake it exceptionally difficult to develop an accurate model structure. In real applications, extensively existing uncertainties, such as external disturbances due to wind, wave, current, and measurement noise in the onboard sensor, will unavoidably influence identification precision with respect to the parameters in the USV's model. Thus, in this paper, a new kind of nonlinear modeling scheme-the active modeling enhanced quasi-linear parameter-varying (qLPV) model-is proposed for a water-jet propulsion USV system. First, a qLPV-structured model is derived by simplifying the real dynamics model, which has a simple quasi-linear structure and can approximate the nonlinearities of the hydrodynamics. Subsequently, a nonlinear version of the Kalman filter-based active modeling method is proposed to provide online estimates of the unstructured model to eliminate the errors due to the structure inaccuracy between the qLPV-structured model and the real system. Finally, the newly proposed modeling scheme is tested on a real USV system and its superiority is shown through comparisons to some other traditional modeling methods.
引用
收藏
页码:3348 / 3358
页数:11
相关论文
共 27 条
[1]  
Abkowitz M. A., 1964, HY5 HYDRO OG LAB
[2]  
[Anonymous], 2009, KALMAN FILTER RECENT
[3]  
[Anonymous], 2008, THESIS
[4]  
[Anonymous], 2008, UNMANNED SURFACE VEH
[5]  
[Anonymous], 2002, 119041 ISO, P1
[6]  
Chen C.-T., 1995, Linear System Theory and Design
[7]  
Faltinsen O., 2005, Hydrodynamics of High-Speed Marine Vehicles
[8]  
Fossen T.I., 2011, HDB MARINE CRAFT HYD, DOI [10.1002/9781119994138, DOI 10.1002/9781119994138]
[9]  
Fossen T.I., 1994, GUIDANCE CONTROL OCE, V199
[10]   Acceleration-Feedback-Enhanced Robust Control of an Unmanned Helicopter [J].
He, Y. Q. ;
Han, J. D. .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2010, 33 (04) :1236-1250