控制饱和约束下的自主水面船编队
Formation control of autonomous surface vessels with saturation constraint
摘要点击 484  全文点击 637  投稿时间:2016-06-25  修订日期:2017-02-22
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DOI编号  10.7641/CTA.2017.60449
  2017,34(5):663-670
中文关键词  自主水面船  编队控制  控制饱和约束  广义饱和函数  不确定性
英文关键词  autonomous surface vessels  formation control  saturation constraint  generalized saturation function  uncertainties
基金项目  国家自然科学基金项目(61503040), 国家重大专项(“深水铺管起重船及配套工程技术”项目(2011ZX05027–002))资助.
学科分类代码  
作者单位邮编
付明玉 哈尔滨工程大学 150001
余玲玲 哈尔滨工程大学 150001
焦建芳 渤海大学 
徐玉杰 哈尔滨工程大学 
中文摘要
      针对含模型不确定与海洋环境干扰的自主水面船编队时的控制饱和约束问题, 提出了一种基于广义饱和 函数的编队控制算法. 首先, 采用虚拟领航–跟随编队策略, 并基于反步法以及更为通用的广义饱和函数设计了编 队控制器, 突破了采用特定饱和函数的局限性. 再针对自主水面船的特点, 利用单隐层神经网络对模型不确定和海 洋环境干扰进行了在线逼近. 然后根据Lyapouv稳定性理论证明了闭环系统所有状态的有界性, 并可通过选择合适 的设计参数使跟踪误差为任意小. 最后, 通过对比仿真结果验证了本文所提出的抗饱和编队控制算法的有效性.
英文摘要
      This paper considers the formation control of autonomous surface vessels with model uncertainties and ocean disturbances. To deal with the control saturation constraint problem in the formation control process, a formation control algorithm based on generalized saturation function is proposed. Firstly, by using the virtual leader-follower strategy, the formation controller is designed based on backstepping control method and a more general generalized saturation function, which breaks through the limitation of using specific saturation function. In addition, according to the characteristic of the autonomous surface vessels, the single hidden layer neural network is employed to approximate the model uncertainties and ocean disturbances. Then, the boundedness of all the closed-loop system signals is rigorously proved based on the Lyapunov theory of stability, and the tracking errors can be arbitrarily small by choosing appropriate design parameters. Finally, the comparative analysis of simulation results demonstrates the effectiveness of the proposed formation control algorithm in this paper.