基于领航跟随法的多AUV编队控制算法研究
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TP24TH701

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国家自然科学青年基金(51609046)、水下机器人技术重点实验室研究基金(No.614221502061701)资助项目


Research on multiple AUVs formation control algorithm based on leaderfollower method
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    摘要:

    针对已知路径下基于领航者的多自主水下机器人(AUV)编队队形控制问题,提出了一种AUV路径控制和编队协调控制相结合的新型编队控制器。其中,AUV的路径跟踪控制采用反步滑模控制器,将AUV位置、姿态和时变速度跟踪转化虚拟速度控制,使AUV能达到期望的位置、速度等,避免了反步控制中的奇异值问题,并能够很好实现不确定的模型的控制,同时又提高了跟随者协同定位精度;在路径跟踪控制基础上,编队协调控制器将领航者与跟随者的位置误差控制转化为跟随者的速度误差控制,使跟随者能快速达到期望位置,从而使所有AUV实现期望的队形并保持。仿真实验对该控制策略进行了可行性验证,结果表明,该算法提高了编队的响应速度、控制精度和稳定性;再应用3台AUV进行了湖上试验验证,证明了该控制策略的有效性,能有效应用到实际中。

    Abstract:

    Aiming at the formation control problem of AUVs based on leader in a known path, a new formation controller combining AUV path control and formation coordination control is proposed. Firstly, in the controller the backstepping adaptive dynamical sliding mode control method is adopted to achieve the path following control of the AUV, which transforms the position, attitude and timevarying velocity tracking to virtual velocity control, makes the AUVs to reach the expected position and velocity, effectively avoids the singular value problem of backstepping control, nicely realizes the control of the uncertain model, and at the same time improves the accuracy of follower collaborative positioning. Secondly, based on the path tracking control, the formation coordination controller converts the position error control of the leader and follower into speed error control of the follower, enables the followers to quickly reach the desired positions and makes all the AUVs achieve and maintain the expected formation. Simulation experiment was carried out to verify feasibility of the proposed control strategy, the result shows that the proposed algorithm improves the response speed, control accuracy and stability of the formation. The test experiment on the lake with three AUVs was conducted, and the result proves the effectiveness of the proposed control strategy, which can be effectively applied in actual situation.

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李娟,袁锐锟,张宏瀚.基于领航跟随法的多AUV编队控制算法研究[J].仪器仪表学报,2019,40(6):237-246

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  • 在线发布日期: 2022-02-10
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