水下机器人-机械手系统构建与研究

描述了一水下机器人——机械手系统研究平台的搭建,详细介绍了三功能水下电动机械手的设计与实验,给出了载体分系统的设计结果,利用Matlab工具箱和M函数构建了系统仿真模型,可以有效地对系统规划和控制算法进行验证(包括分别对载体分系统和机械手分系统的控制),可为进一步的现场试验提供指导和方法验证。     

水下机器人作业机械手的研究与发展

水下作业机械手是水下机器人核心组成部分，研究第二、第三代水下机械手技术是水下机器人的重要课题，本文仅就水下作业机械手当前的发展状态，设计原则及智能化技术的研究，提出有关看法，仅供研究水下机械手课题展开讨论。     

水下滑翔机器人系统研究

水下滑翔机器人是一种新型的水下机器人,可以作为水下监测平台用于大范围、长时间的大尺度海洋环境监测作业。文中调查了水下滑翔机器人的国内外发展现状,分析了其可能的应用领域。详细介绍了中国科学院沈阳自动化研究所开发的水下滑翔机器人系统,包括载体外形优化设计、载体结构设计和控制系统设计。分析了水下滑翔机器人定常滑翔运动和空间螺旋会转运动的运动性能。     

自主式水下机械手系统研究

本文从水下机械手的总体设计，关节直流电机的驱动和调速，手臂上声纳的水下搜索与跟踪，机械手系统的智能控制和电源等几个方面，介绍了有关自主式水下机械手系统的研究，可为研制自主式水下作业系统提供参考     

水下机械手接近觉系统研究

根据水下机械手的工作需要,设计了一套高精度的水下超声波定位系统.采用超声波检测距离、三探头阵列检测方位的方案,使用超低功耗单片机MSP430精确计算超声波往返时间和控制三探头轮流工作,通过对三个探头的测量数据进行处理,实现目标测距及定位.经过实验室及水池实验表明,该系统在水下工作稳定,精度及灵敏度高,是水下机器人及机械手自主探测目标的有效手段之一.     

“探索者”号无缆自治水下机器人的信息系统

本文主要介绍“探索者”号无缆自治水下机器人信息系统及构成，它分为水上、水下两大部分、最后，详细介绍了水上信息系统的特点。     

SIWR—Ⅱ水下机器人作业系统的研制

本文简要了ＳＩＷＲ－Ⅱ水下机器人作业系统的组成,详细说明了对接腕及旋转工具库的工作原理,介绍了系统的控制软件及可实现的功能     

面向ARV的视觉辅助水下对接方法研究

针对水下机器人作业过程中的近距离引导水下对接问题,以自治缆控水下机器人(ARV)为研究对象,为实现快速、高精度的水下对接,设计了基于反射光源识别的单目视觉辅助水下对接方法。通过在对接口布置反光带并将其作为目标图像,设计了图像处理和特征点提取的算法,经过图像特征信息的分析处理,优化算法的时间复杂度,提高了特征点提取的准确率和识别效率。最后设计了传统的引导灯方案与反光带方案的对比试验,验证算法的可行性,证明在水下环境下识别反射光源的方法极大提升了位置估计的准确率,同时在计算速度上也有显著提高,弥补了传统水下对接方法中精度不足或计算量大的缺陷,更好地满足了ARV水下对接的需求,能为潜水器实现水下自主对接提供参考依据。     

遥控水下机器人（ROV）结构综述——以hysub130—4000ROV系统为例

本文以HYSUB130—4000ROV系统为例介绍了遥控水下机器人的系统结构原理和功能,具体包括甲板控制台、甲板供电单元、提升系统、脐带缆、ROV本体、机械手及工具等各部分结构特点。     

无缆水下机器人组合导航系统

无缆水下机器人是我国首次开展的高技术课题,组合导航系统是无缆水下机器人研究中的关键部分,本文介绍了多种导航设备同时工作,经过信息综合处理获得高精度导航信息的组合导航系统和组合导航系统中所需要的坐标转换及卡尔曼滤波器的计算,为无缆水下机器人建立一个较理想的导航方式。     

Coordinated motion planning and control of autonomous underwatervehicle-manipulator systems subject to drag optimization

A new motion coordination algorithm for an autonomous underwater vehicle-manipulator system (UVMS) is proposed. This algorithm generates the desired trajectories for both the vehicle and the manipulator in such a way that the total hydrodynamic drag on the system is minimized. Resolution of kinematic redundancy of the system is performed at the acceleration level so that this algorithm can be incorporated into the system dynamics. The dynamics of the UVMS are modeled using a quasi-Lagrange approach. A state-space formulation of the system along with a model-based controller design for trajectory-following tasks that includes thruster dynamics is also presented. The computer simulation results demonstrate the effectiveness of this proposed method in reducing the drag on the system     

兰鲸号潜器两型机械手的结构设计研究

本文介绍了装备于我国自行研制的“兰鲸”号双功型潜水器上的两型机械手的主要性能参数和设计特点。其中一只为打捞机械手,最大伸距２８０３ｍｍ,举力１５００Ｎ,三个自由度,机械手备有五种手爪,可根据作业内容的不同进行更换,手爪具有锁紧和解脱功能。另一只为作业机械手,最大伸距２３００ｍｍ,举办３２０Ｎ,六自由度,手爪具有缆绳剪切功能力。两型手在载人工况可实行应急抛弃。     

Redundancy resolution for underwater mobile manipulators

A new fault-tolerant redundancy resolution scheme is presented that allows a single six degree of freedom (DOF) command to be distributed over a small remotely operated underwater vehicle–manipulator (ROVM) system. ROVM systems are composed of a remotely operated underwater vehicle (ROV) and serial manipulator. The combined system is often kinematically redundant for the six-DOF end-effector command, and such a ROVM system admits an infinite number of joint-space solutions for a commanded end-effector state. In the current work, the primary objective is to follow the desired end-effector velocities commanded by a human pilot. The primary objective is realized using the right Moore–Penrose pseudoinverse solution that minimizes the two-norm of the collective joint velocities. Secondary objectives considered are: avoiding manipulator joint limits, avoiding singularities and high joint velocities, keeping the end-effector in sight of the on-board camera, minimizing the ROV motion, and minimizing the drag-forces on the ROV. Each criterion is defined within the framework of the gradient projection method (GPM). The hierarchy for the secondary tasks is established by a low-level artificial pilot that determines a weighting factor for each criterion based on if–then-type fuzzy rules that reflect an expert human pilot's knowledge. The resulting weight schedule yields a self-motion (null-space motion) that emulates how a skilled operator would utilize the redundancy of the ROVM to achieve the secondary objectives. In addition, the proposed method has a fault-tolerant property that enforces joint-velocity limits and also redistributes the end-effector velocity command in the case of faulty joints. To demonstrate the efficacy of the proposed scheme, a numerical simulation case study is performed. The results illustrate that complex spatial end-effector manoeuvres that are otherwise not possible with a stationary ROV can be accomplished in real-time via the coordination of the ROV and the manipulator. The on-line nature of the proposed scheme makes it suitable for remote systems where the desired end-effector state is not known a priori.     

Evaluation and reduction of the dynamic coupling between amanipulator and an underwater vehicle

The formulation of the dynamic coupling between a manipulator and an underwater vehicle is presented. Results from a simulation of a particular manipulator-vehicle configuration illustrate the nature and extent of the dynamic coupling. The modeling processes for the underwater vehicle and the manipulator are described with an evaluation of the simple hydrodynamic effects that can be incorporated in the dynamic equations of the manipulator. The equations are formulated for the combination of a 6-degrees-of-freedom vehicle and a 3-degrees-of-freedom manipulator. The effect of the manipulator motion, assuming perfect manipulator joint angle tracking, on the vehicle's position/orientation and consequently the manipulator end-effector position is investigated assuming no vehicle control. Slotine's sliding mode approach has been used to reduce the effect of the manipulator disturbances. This technique allows the expressions developed for the manipulator disturbances to be incorporated in the control law. Control of the vehicle's yaw angle, in this particular manipulator-vehicle configuration, has been determined to be the single most important factor in reducing the end-effector error variation. This is shown to be beneficial in the regulation of the vehicle's yaw angle and offers improved performance compared to a sliding mode controller that does not incorporate the manipulator disturbances. This technique also demonstrates superior performance and insensitivity to parameter variations compared to a fixed-gain controller     

Open-Loop Control of a Multifin Biorobotic Rigid Underwater Vehicle

This paper presents an open-loop control system for a new experimental vehicle, named the biorobotic autonomous underwater vehicle (BAUV). The rigid cylindrical hull of the vehicle is attached with six strategically located fins to produce forces and moments in all orthogonal directions and axes with minimal redundancy. The fins are penguin-wing inspired and they implement the unsteady high-lift principle found widely in swimming and flying animals. The goal has been to design an underwater vehicle that is highly maneuverable by taking the inspiration from nature where unsteady hydrodynamic principles of lift generation and the phase synchronization of fins are common. We use cycle-averaged experimental data to analyze the hydrodynamic forces and moments produced by a single foil as a function of its kinematic motion parameters. Given this analysis, we describe a method for synthesizing and coordinating the sinusoidal motion of all six foils to produce any desired resultant mean force and moment vectors on the vehicle. The mathematics behind the resulting algorithm is elegant and effective, yielding compact and efficient implementation code. The solution method also considers and accommodates the inherent physical constraints of the foil actuators. We present laboratory experimental results that demonstrate the solution method and the vehicle's resulting high maneuverability.      

Development of a deep ocean electric autonomous manipulator

This paper describes an underwater 3500 m electric manipulator (named Huahai-4E,stands for four functions deep ocean electric manipulator in China),which has been developed at underwater manipulation technology lab in Huazhong University of Science and Technology (HUST) for a test bed of studying of deep ocean manipulation technologies.The manipulator features modular integration joints,and layered architecture control system.The oil-filled,pressure-compensated joint is compactly designed and integrated of a permanent magnet (PM) brushless motor,a drive circuit,a harmonic gear and an angular feedback potentiometer.The underwater control system is based on a network and consisted of three embedded PC/104 computers which are used for servo control,task plan and target sensor respectively.They communicate through User Datagram Protocol (UDP) multicast communication in Vxworks OS.A supervisor PC with a virtual 3D GUI is fiber linked to underwater control system.Furthermore,the manipulator is equipped with a sensor system including a unique ultra-sonic probe array and an underwater camera.Autonomous grasp strategy based multi-sensor is studied.The results of watertight test in 40 MPa,joint’s efficiency test and autonomous grasp experiments in tank are also presented.     

基于模糊神经网络理论对水下拖曳体进行深度轨迹控制

以华南理工大学开发的自主稳定可控制水下拖曳体为研究对象,首先通过水下拖曳体在拖曳水池样机中的试验取得试验数据后作为训练样本,采用LM BP算法,建立基于神经网络理论构建的可控制水下拖曳体轨迹与姿态水动力的数值模型。在此基础上设计了一个控制系统,它主要由两部分组成:基于遗传算法的神经网络辨识器和基于模拟退火改进的遗传算法的模糊神经网络控制器。以满足预先设定的拖曳体水下监测轨迹要求为控制依据,由控制系统确定为达到所要求的运动轨迹而应采用的迫沉水翼转角,以此作为输入参数,通过LM BP神经网络模型的模拟计算预报在这一操纵动作控制下的拖曳体所表现的轨迹与姿态特征。数值模拟计算结果表明:该系统的设计达到了所要求的目的;借助这一系统,可以有效地实现对拖曳体的深度轨迹控制。     

智能水下机器人水声精确定位技术的研究

讨论了智能水下机器人水声定位技术,给出系统的组成、定位教学模型。论述了提高定位精度措施,最后给出试验测量结果。