王义轩, 李擎, 姚其家, 马金戈, 黄晨. 多无人艇固定时间自适应分布式协同编队控制[J]. 工程科学学报. DOI: 10.13374/j.issn2095-9389.2023.09.21.001
引用本文: 王义轩, 李擎, 姚其家, 马金戈, 黄晨. 多无人艇固定时间自适应分布式协同编队控制[J]. 工程科学学报. DOI: 10.13374/j.issn2095-9389.2023.09.21.001
Fixed-time adaptive distributed cooperative formation control for multiple unmanned surface vessels[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2023.09.21.001
Citation: Fixed-time adaptive distributed cooperative formation control for multiple unmanned surface vessels[J]. Chinese Journal of Engineering. DOI: 10.13374/j.issn2095-9389.2023.09.21.001

多无人艇固定时间自适应分布式协同编队控制

Fixed-time adaptive distributed cooperative formation control for multiple unmanned surface vessels

  • 摘要: 针对局部通讯条件下多无人艇协同编队控制问题,本文提出一种固定时间自适应分布式控制策略。首先,考虑到只有部分跟随无人艇能够直接获取虚拟领航者的状态信息,为每艘跟随无人艇设计固定时间分布式观测器,在固定时间内实现对虚拟领航者位置和速度的估计。然后,在估计信息的基础上,采用反步法为每艘跟随无人艇设计固定时间自适应局部控制器,在固定时间内实现对期望轨迹的跟踪。特别地,在局部控制器设计过程中,采用参数自适应机制对模型不确定和外界扰动进行补偿,在保证控制精度的同时避免抖振现象。稳定性分析表明,所提出的控制器能够保证每艘跟随无人艇的位置和速度跟踪误差在固定时间内收敛至零的邻域内。最后,通过对比仿真对所提控制策略的有效性和优越性进行验证。

     

    Abstract: Compared with one single unmanned surface vessel (USV), the multiple USVs have the advantages of strong maneuverability, high reliability, and low cost. Nowadays, the multiple USVs have the great potential applications in oceanic transportation, resource exploration, and maritime rescue. Actually, the cooperative formation control is a significant yet challenging technology for multiple USVs. This paper proposes a fixed-time adaptive distributed control strategy for the problem of cooperative formation control of multiple USVs. First, considering that only a portion of follower USVs can directly access the state information from the virtual leader, a fixed-time distributed observer is constructed for each follower USV to estimate the virtual leader’s position and velocity in fixed time. Then, based on the estimated information, a fixed-time local controller is designed for each follower USV to track the desired trajectory in fixed time by utilizing the backstepping method. Specifically, during the local controller design procedure, the parameter adaptive mechanism is adopted to compensate the model uncertainties and external perturbations. In this way, the proposed controller is smooth that the control accuracy can be guaranteed and the chattering phenomenon can be avoided simultaneously. Stability analysis shows that the proposed controller can ensure the position and velocity tracking errors of each follower USV can converge to the small neighborhoods around zero in fixed time. Finally, the effectiveness and superiority of the proposed control strategy are verified through comparative simulations.

     

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