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Adaptive coordinated formation control for multiple surface vessels based on virtual leader

机译:基于虚拟前导的多面舰船自适应协同编队控制

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This paper addresses the problem of coordinated formation control for multiple surface vessels, a distributed adaptive coordinated formation control strategy based on virtual leader is present. Firstly, with the passivity-based techniques, a guided system which gives out desired trajectory signal for follower vessels is designed. Then, considering the uncertainty in mathematical mode of the vessel, a radial basis function(RBF) neural network is used to approach the uncertainty. Meanwhile, a adaptive neural network synchronization controller which control every follower vessel to track desired trajectory with a certain formation is present. After that, the stability of the controller is validated by Lyapunov theory. Finally, the simulation results show the effectiveness of the proposed control method.
机译:针对多水面舰艇的协同编队控制问题,提出了一种基于虚拟前导的分布式自适应协同编队控制策略。首先,利用基于无源性的技术,设计了一种引导系统,该引导系统给出随从船的期望轨迹信号。然后,考虑到船舶数学模式的不确定性,采用径向基函数神经网络(RBF)来逼近不确定性。同时,存在一种自适应神经网络同步控制器,该控制器控制每个随动船以一定的编队跟踪期望的轨迹。之后,通过李雅普诺夫理论验证了控制器的稳定性。最后,仿真结果表明了该控制方法的有效性。

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