基于隐式增量动态逆的水下运载器出水姿态控制

doi:10.3969/j.issn.1000-1093.2013.07.020

兵工学报 ›› 2013, Vol. 34 ›› Issue (7): 922-928.doi: 10.3969/j.issn.1000-1093.2013.07.020

• 研究简报 • 上一篇

基于隐式增量动态逆的水下运载器出水姿态控制

白瑜亮¹, 崔乃刚¹, 郭继峰¹, 许江涛²

1. 哈尔滨工业大学航天工程系, 黑龙江哈尔滨150001; 2. 哈尔滨工程大学航天工程系, 黑龙江哈尔滨150001

收稿日期:2012-07-20 修回日期:2012-07-20 上线日期:2014-08-19
作者简介:白瑜亮(1985—),男,博士研究生。
基金资助:
中国博士后科学基金项目(20110491028);中央高校基本科研业务费重点支持研究项目(HEUCFZ1126)

Attitude Control of Underwater Vehicle out of Water Based on Implicit Nonlinear Dynamic Inversion

BAI Yu-liang¹, CUI Nai-gang¹, GUO Ji-feng¹, XU Jian-gtao²

1. Department of Astronautics, Harbin Institute of Technology, Harbin 150001, Heilongjiang, China; 2. Department of Astronautics, Harbin Engineering University, Harbin 150001, Heilongjiang, China

Received:2012-07-20 Revised:2012-07-20 Online:2014-08-19

摘要/Abstract

摘要： 显式动态逆控制直接利用非线性对消来实现对系统的精确线性化,但由于实际模型存在不确定性因而会造成在对消过程中存在逆误差,使得控制的鲁棒性难以保证。在解决水下运载器出水运动问题中,由于存在较强的不确定性,显式动态逆控制无法消除逆误差的影响。出水过程中水动力变化剧烈同时海浪强烈作用,因此需要对姿态控制问题进行着重研究。在仿射形式的水下运载器出水运动数学模型基础上,推导并得到了隐式增量形式的动态逆控制律,利用层叠结构思想将系统划分为慢快两个回路。在时标分离的慢快回路基础上,引入状态变化率反馈,设计了不依赖精确数学模型的隐式增量控制律,提高了控制的鲁棒性。基于隐式动态逆相应的控制算法,考虑海浪作用、水动力参数摄动以及测量噪声的影响下,对水下运载器出水姿态进行跟踪控制,验证了控制律的有效性和合理性。

关键词: 控制理论, 水下运载器, 逆误差, 隐式增量动态逆控制, 层叠结构, 出水姿态

Abstract: In explicit nonlinear dynamic inversion (NDI) control, a system is linearized accurately using nonlinear offset. However, because of the inversion errors in offset from the uncertainties of real models, the robustness of control system is hard to be guaranteed. Explicit NDI is found facing serious challenges when solving the motion issue of underwater vehicle exceeding water. Considering the severe change in hydrodynamic force and the strong impact of waves, its attitude control has become a research focus. Firstly, the control law of dynamic inversion in the form of implicit increments is derived and obtained, and the system is divided into a slow loop and a fast one using the idea of stepped construction on the base of affine motion model of underwater vehicle out of water. Then the feedback of state variation rate is introduced, the implicit control law independent of accurate models and with better robustness is designed based on these two time-scale separated loops. Finally, based on the implicit NDI control algorithm, the attitude of underwater vehicle in its out-of-water process is traced under the influence of waves and perturbation of hydrodynamic parameters and measurement noise, and the validity and rationality of the control law are verified.

Key words: control theory, underwater vehicle, inversion errors, implicit NDI control, stepped construction, out-of-water attitude

中图分类号:

TJ765.2

白瑜亮, 崔乃刚, 郭继峰, 许江涛. 基于隐式增量动态逆的水下运载器出水姿态控制[J]. 兵工学报, 2013, 34(7): 922-928.

BAI Yu-liang, CUI Nai-gang, GUO Ji-feng, XU Jian-gtao. Attitude Control of Underwater Vehicle out of Water Based on Implicit Nonlinear Dynamic Inversion[J]. Acta Armamentarii, 2013, 34(7): 922-928.

参考文献

[1] Silvestre C, Cunha R, Paulino N, et al. A bottom-following preview controller for autonomous underwater vehicles[ J]. Control Systems Technology, IEEE Transactions on, 2009, 17(2): 257-266.

[2] Silvestre C, Pascoal A. Depth control of the INFANTE AUV using gain-scheduled reduced order output feedback[J]. Control Engineering Practice, 2007, 15(7): 883-895.

[3] Silvestre C, Pascoal A. Control of the INFANTE AUV using gain scheduled static output feedback[ J]. Control engineering practice, 2004, 12(12): 1501-1509.

[4] 李春文,冯元馄. 多变量非线性控制的逆系统方法[M]. 北京:清华大学出版社,1991.

LI Chun-wen, FENG Yuan-kun. Multivariable nonlinear inverse system control method[M]. Beijing: Tsinghua University Press,1991. (in Chinese)

[5] Ananthkrishnan N, Kumar P, Raghavendra P, et al. Spin recovery of an aircraft using nonlinear dynamic inversion techniques[C]//42 nd AIAA Aerospace Sciences Meeting and Exhibit. US: AIAA,2004.

[6] 陈海兵, 张曙光, 方振平. 加速度反馈的隐式动态逆鲁棒非线性控制律设计[J]. 航空学报, 2009, 30(4): 597-603.

CHEN Hai-bing, ZHANG Shu-guang, FANG Zhen-ping. Implicit NDI robust nonlinear control design with acceleration feedback[J]. Acta Aeronautica Et Astronautica Sinica, 2009, 30 (4):597-603. (in Chinese)

[7] 杨志峰, 雷虎民, 李庆良,等. 基于RBF 神经网络的导弹鲁棒动态逆控制[J]. 宇航学报, 2010, 31(10): 2295-2301.YANG Zhi-feng,LEI Hu-min,LI Qing-liang, et al. RBF neural-network-based robust dynamic inverse control for a missile[ J].Journal of Astronautics, 2010, 31(10): 2295- 2301. (in Chinese)

[8] Kim B S, Calise A J. Nonlinear flight control using neural networks[J]. Journal of Guidance, Control, and Dynamics, 1997,20(1): 26-33.

[9] Doman D B, Ngo A D. Dynamic inversion-based adaptive/ reconfigurable control of the X-33 on ascent[J]. Journal of Guidance,Control, and Dynamics, 2002, 25(2): 275-284.

[10] Chen W H. Nonlinear disturbance observer-enhanced dynamic inversion control of missiles[J]. Journal of Guidance, Control,and Dynamics, 2003, 26(1): 161-166.

[11] Smit Z M, Craig I K. Robust flight controller design using H_∞loop-shaping and dynamic inversion techniques, AIAA-98-4132[R]. US: AIAA, 1998.

[12] Escande B. Nonlinear dynamic inversion and linear quadratic techniques, AIAA-98-4245[R]. US: AIAA, 1998.

[13] Looye G, Joos H D. Design of robust dynamic inversioncontrol laws using multi-objective optimization, AIAA-2001-4285[R].US: AIAA, 2001.

[14] Reiner J, Balas G J, Garrard W L. Flight control design using robust dynamic inversion and time-scale separation[J]. Automatica, 1996, 32(11): 1493-1504.

[15] Bugajski D, Enns D. A dynamic intersion based control law with application to high angle of attack research vehicle[C] //Proceedings of AIAA Guidence, Navigation, and Control Conference. Polcond: AIAA, 1990: 826-839.

[16] Goheen K R, Jefferys E R. Multivariable self-tuning autopilots for autonomous and remotely operated underwater vehicles[J].IEEE Journal of Oceanic Engineering, 1990, 15 (3): 144-151.

[17] 雷延花, 陈士橹. 非线性动态逆在大攻角导弹控制系统设计中的应用[J]. 弹箭与制导学报, 2002, 23(1): 109-112.

LEI Yan-hua, CHEN Shi-lu. Nonlinear dynamic inversion applied to design of control system for high angle of attack missile[J]. Journal of Projectiles, Rockets, Missiles and Guidance,2002, 23(1): 109-112. (in Chinese)

基于隐式增量动态逆的水下运载器出水姿态控制

Attitude Control of Underwater Vehicle out of Water Based on Implicit Nonlinear Dynamic Inversion

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