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991.
智能潜器控制系统的实航验证   总被引:1,自引:0,他引:1  
本文介绍了某智能潜器的系统概要及其使命规划系统和使命控制系统的结构,并通过对其实航试验结果的分析,证明了本系统能够实现自主导航、自主避障等功能。特别是,本系统对潜器的位置和艏向具有优良的控制特性,达到了预定的研究目标。  相似文献   
992.
介绍一种新研制的用于近海海洋环境检测的轻型机器人,该机器人由智能检测控制台、水下检测器和控制电缆三部分构成;水下检测器由6个独立密封舱室和尾翼组成,具有一个主推进器和两个侧向推进器。特点是采用了潜艇式ROV结构,大幅降低了成本,适度增大了负载,可以满足一般工程检测的需要。通过在控制台上发出指令,可控制ROV完成前进、后退,上浮、下沉、左右转弯等动作;可以实现一定流速下的动力悬停,可以使ROV保持一定的倾角,以配合实现检测作业。该水下机器人可以检测腐蚀电位、温度、深度等最多16个参数,设计深度为40m。  相似文献   
993.
针对机载点云与航空影像配准精度受点云密度影响较大的问题,本文提出一种交叉点结构特征约束下的机载点云影像配准方法。该方法充分利用激光测距精度较高这一优势,采用点云中的平面结构对影像区域网进行绝对定向约束。首先,利用POS辅助平差后的影像内外方位元素和影像交叉点结构匹配结果,以反投影距离为测度,按照最小二乘准则交会得到交叉点物方结构;然后,在LiDAR点云中自动探测交叉点结构的同名LiDAR平面点;最后,进行交叉点结构特征约束下的航空影像联合区域网平差,得到精确的相机内参数和影像外方位元素。实验结果表明,本文方法在平面和高程方向上均可达到1~2个像素的配准精度。与基于建筑物角特征的配准方法相比,有效克服了点云密度对配准精度的影响,当点云密度较低时,本文方法依然可以取得较高的配准精度。  相似文献   
994.
刘烨  邢小罡 《海洋科学》2019,43(1):28-37
Argo剖面浮标已成为海洋溶解氧观测数据的主要来源,截至2018年7月已在全球范围内获取了超过13万条溶解氧剖面,然而目前其数据的质量控制仍然存在不足。本文首先介绍了Argo浮标上携带的溶解氧传感器的测量原理、主要误差来源以及两种校正方法:气候态校正法与空气测量校正法,并提出了目前在溶解氧传感器数据质量控制研究亟需解决的技术问题,包括:①由于传感器伸出水面的高度不够,一些浮标并不能有效测量空气氧含量,因为无法进行空气测量校正方法;②Argo观测的溶解氧数据库中目前存在一些异常测量剖面没有得到有效剔除,影响校正系数的计算;③使用平均值确定校正系数的方法容易受到异常剖面的干扰。  相似文献   
995.
自主水下机器人(AUV)对接技术是目前水下机器人的研究热点,精确可靠的AUV的回坞导航是实现对接的关键技术。对于追求轻便的便携式AUV的对接系统,考虑到便携式AUV的搭载能力有限又需要足够的定位精度用于对接,提出了一种基于超短基线(USBL)定位的回坞导航方法,该方法让AUV只需装载电子罗盘和水声应答器就能完成精确的回坞定位。根据导航方法的特点,设计了一种改进的扩展卡尔曼滤波算法,其优点是能在处理滞后的USBL数据的同时动态估算海流、更新状态方程以消除海流造成的定位误差。通过湖试和大量仿真实验,验证了定位算法在海流影响下的定位性能。  相似文献   
996.
This study proposes a method for identification of the nonlinear dynamic model of an AUV while some states are unmeasured; hence, it concentrates on a nonlinear “state and parameter estimation” issue. In this method, a local linearization is used for solving the nonlinear dynamics based on the extended Kalman filter (EKF), and a particle filter (PF) is used to minimize errors and variances of the nonlinear system. In other words, the PF is combined with the EKF in the form of the extended Kalman particle filter (EKPF). The EKPF method is independent of the initial values and satisfies the limits of the parameters and also the assumption that the hydrodynamic coefficients are constant. Hence, it is shown when the ranges or signs of some parameters are known, the EKPF is a more accurate estimator than the EKF. Moreover, a new simulation is done using the model estimated by the EKPF and the results are compared and validated with the measured data of a new experimental test. It is shown that the obtained model can predict the trajectory path with the total normalized root-mean-square error (NRMSE) of 14% and the surge mean speed with the NRMSE of 5%; and it describes the 6DOF motion of the AUV more accurate than the EKF model.  相似文献   
997.
A trajectory-cell based method was proposed for unmanned surface vehicle (USV) motion planning to combine the expression of the dynamic constraints and the discretization of the search space. The dynamic constraints were expressed by the USV trajectories produced by the mathematical model. The search space was performed by the discretization rules with the consideration of the path continuity, the search convenience and the maneuvering simplification. Therefore, the trajectory-cells were the discretized trajectories, which made the search space meet the USV dynamic constraints, and guaranteed the final spliced path continuous. After abstracting the characteristics of those cells, the available waypoints and headings were represented as the search indexes. Finally, a trajectory-cell based path searching strategy was proposed by determining the cost function of the A* algorithm. The results showed that the proposed algorithm can plan a practical motion path for the USV.  相似文献   
998.
Considering the dynamic changes of unmanned surface vehicle (USV) in berthing tasks, the planning and control modes are divided into two phases: the remote phase and the terminal phase. According to the main influencing factors of the two phases, an improved artificial potential field method is proposed to complete autonomous berthing trajectory planning based on the analysis of environment constraint, berth point constraint and USV’s dynamics constraint. Combining with the dynamic characteristics and control objectives at different phases of berthing and analyzing the fuzzy rule regulation strategy of USV’s heading and speed control, an improved adaptive fuzzy PID control method is proposed to solve the control problem of USV, which is influenced by weak maneuver, large disturbance, limited water area and strong shore effect. Finally, the comparative test of berthing simulation verifies the superiority of the proposed control method. The autonomous berthing field experiment is completed based on the "Dolphin-I" small USV. It verifies the validity and feasibility of the proposed autonomous berthing method.  相似文献   
999.
A numerical method is proposed to predict the effective wake profiles of high speed underwater vehicles propelled by contra-rotating propellers (CRPs), in which the hydrodynamic effects of the CRPs are simulated by distributed body forces. First, Reynolds-averaged Navier-Stokes (RANS) simulations are conducted for identical body-force distributions in open-water and self-propulsion conditions. The effective wake profiles at the CRP disks are then obtained by subtracting the velocities induced by the body forces in the open water from those induced by the body forces in the self-propulsion condition. The effective wake profiles were then predicted for a generic underwater vehicle with an established CRP design. Next, the hydrodynamic performance of the CRPs in the effective wake was computed using an in-house vortex-lattice code. The potential-flow results agree well with those provided by the RANS simulation under the self-propulsion condition, indicating that the proposed method can predict the effective wake profiles for CRPs with reasonable accuracy. The influences of different wake components on the blade forces were investigated, determining that for CRPs, and especially for the aft propeller, the circumferential wake cannot be neglected in the design.  相似文献   
1000.
Based on the model-free adaptive control (MFAC) theory, the heading control problem of unmanned surface vehicles (USVs) with uncertainties is explored. First, as a USV’s heading subsystem does not satisfy the quasilinear assumption of the MFAC theory, a new type of input and output information fusion MFAC, i.e., the IOIF–MFAC algorithm is proposed. The novel algorithm proposed herein renders the MFAC theory applicable to the heading control of USVs. Next, the input and output information of the heading subsystem, namely the rudder angle and heading angle, are combined, and the data model of the heading subsystem is subsequently deduced using a compact format dynamic linearization method. Based on which, the stability of the control system is proved. Finally, the effectiveness and practicability of the IOIF–MFAC algorithm are verified by simulation and field experiments through the “Dolphin IB” test platform developed by our group.  相似文献   
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