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采用智能水下机器人进行海洋环境的立体监测具有监测范围广,自主性强的特点。本文在探讨世界各国采用智能水下机器人进行海洋环境监测的情况的基础上,介绍了自主研发的智能水下机器人海洋大范围环境数据的自主采集系统,其主要优点是:相对于其他机器人,可实现“大范围” 海洋环境数据的采集;相对于固定式浮标,可实现海洋环境数据的“自主”采集。并给出了自主采集流程和软件分层递阶体系结构。在真实海域中,采用智能水下机器人,进行了国内首次大范围环境数据采集实航实验。实验结果表明采用智能水下机器人进行海洋环境的立体监测是切实可行的。 相似文献
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拖曳线列阵振荡幅值响应特性 总被引:3,自引:1,他引:3
通过欧拉角的变换把拖曳线列阵微元段矢量动力平衡方程在局部坐标系下展开,在时间和空间上作中心差分数值离散平衡方程。将尾绳阻力作为线列阵尾端点的张力,改善因尾端张力为零引起的差分方程奇异性。取有关文献资料中的两个拖曳线列阵进行了拖点振荡响应计算,计算结果与相应文献资料中线性理论的计算和试验结果基本吻合。最后由仿真计算讨论了拖曳线列阵参数变化对拖点垂向和横向的谐振稳态响应特性。计算结果表明影响拖曳线列阵振荡响应的主要参数是由拖缆长度、拖点航速和拖点振荡因频率构成的无因次振荡频率。 相似文献
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The stability of the motion control system is one of the decisive factors of the control quality for Autonomous Underwater Vehicle (AUV).The divergence of control,which the unstable system may be brought about,is fatal to the operation of AUV.The stability analysis of the PD and S-surface speed controllers based on the Lyapunov' s direct method is proposed in this paper.After decoupling the six degree-of-freedom (DOF) motions of the AUV,the axial dynamic behavior is discussed and the condition is deduced,in which the parameters selection within stability domain can guarantee the system asymptotically stable.The experimental results in a tank and on the sea have successfully verified the algorithm reliability,which can be served as a good reference for analyzing other AUV nonlinear control systems. 相似文献
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GDROV是用于堤坝探测的水下机器人,设计上属于开架式机器人,其精确的数学模型很难获得.采用基于模糊逻辑的直接自适应控制方法,利用模糊基函数网络逼近理想控制输出,通过模糊逻辑动态调整控制器的参数自适应律,可有效解决水下机器人控制问题.建立GDROV的水动力模型,给出基于模糊逻辑的直接自适应控制算法,最后通过仿真试验和外场试验验证了该控制器对模型的不确定性具有较强的鲁棒性,且具有良好的跟踪性能. 相似文献
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Depth-trim mapping control of underwater vehicle with fins 总被引:1,自引:1,他引:0
Underwater vehicle plays an important role in ocean engineering.Depth control by fin is one of the difficulties for underwater vehicle in motion control.Depth control is indirect due to the freedom coupling between trim and axial motion.It includes the method of dynamic analysis and lift-resistance-coefficient experiment and theory algorithm.By considering the current speed and depth deviation,comprehensive interpretation is used in object-planning instruction.Expected depth is transformed into expected trim.Dynamic output fluctuation can be avoided,which is caused by linear mapping of deviation.It is steady and accurate for the motion of controlled underwater vehicles.The feasibility and efficiency of the control method are testified in the pool and natural area for experiments. 相似文献
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