Market based framework for multiple AUVs cooperation

A“Market” based framework for multiple AUVs team is introduced in this paper. It is a distributed meta-level task allocation framwork. The formulation and the basic concepts of the “Market” such as “goods” and “price” are discussed first, then the basic algorithm of the “auction”. The loosely coupled v-MDTSP tasks are considered as an example of the task allocation mission. A multiple AUV team controller and a detailed algorithm are developed for such applications. The simulation results show that the controller has the advantages such as robustness and low complexity and it can achieve better optimization results than the classical central controller （ such as GA） in some tasks. And the comparison of two different local solvers also implies that we should get the reasonable task allocation even not using the high quality algorithm, which can considerably decrease the cooperation computation.     

某型AUV运载器的定位方法与误差分析

传统AUV依靠水下惯性导航设备自主定位的方法无法实时进行水下信息感知和系统控制。水声定位是AUV定位导航技术的一个研究领域，可用于水下运动目标定位与导航、水下静止目标勘测等。本文分析阐述三种经典AUV定位方法，进一步研究AUV快速定位解算原理，论证影响AUV运载器在深海工作时产生的定位误差来源并进行仿真试验分析，最终将研究成果应用在目前现有某型AUV运载器上，实现自身水下定位、导航与远程遥控。     

带吊舱水下机器人运动建模与仿真(英文)

To provide a simulation system platform for designing and debugging a small autonomous underwater vehicle’s (AUV) motion controller, a six-degree of freedom (6-DOF) dynamic model for AUV controlled by thruster and fins with appendages is examined. Based on the dynamic model, a simulation system for the AUV’s motion is established. The different kinds of typical motions are simulated to analyze the motion performance and the maneuverability of the AUV. In order to evaluate the influences of appendages on the motion performance of the AUV, simulations of the AUV with and without appendages are performed and compared. The results demonstrate the AUV has good maneuverability with and without appendages.     

Design and evaluation of a hierarchical control architecture for an autonomous underwater vehicle

This paper researches on a kind of control architecture for autonomous undelwater vehicle （AUV）. After describing the hybrid property of the AUV control system, we present the hierarchical AUV control architecture. The architecture is organized in three layers： mission layer, task layer and execution layer. State supervisor and task coordinator are two key modules handling discrete events, so we describe these two modules in detail. Finally, we carried out a series of tests to verify this architecture The test results show that the AUV can perform autonomous missions effectively and safely. We can conclude the control architecture is valid and practical.     

近壁面水动力干扰下的AUV运动控制研究

按自治式水下机器人(AUV)需要接近水下工作站并实现坐落的要求,依据平壁面对AUV水动力干扰的力学机理,建立了AUV在平壁面附近运动时的数学模型,并设计了五个自由度运动PID控制器.在海流影响下,通过系统仿真,实现了AUV的五自由度运动控制和准确坐落,仿真结果验证了控制策略的可行性.     

矢量推进方式下的自主式水下航行器纵向运动操纵性分析

提出一种针对无人自主式水下航行器的新型操纵方式--矢量推进方式;建立矢量推进方式下无人自主式水下航行器纵向运动方程.对矢量推进方式和普通推进方式下的水下航行器的操纵性进行对比性的操纵性仿真计算,计算结果表明,矢量推进方式可以满足水下航行器的操纵性要求.     

Turbine speed control system based on a fuzzy-PID

The flexibility demand of marine nuclear power plant is very high, the multiple parameters of the marine nuclear power plant with the once-through steam generator are strongly coupled, and the normal PID control of the turbine speed can＇t meet the control demand. This paper introduces a turbine speed Fuzzy-PID controller to coordinately control the steam pressure and thus realize the demand for quick tracking and steady state control over the turbine speed by using the Fuzzy control＇s quick dynamic response and PID control＇s steady state performance. The simulation shows the improvement of the response time and steady state performance of the control system.     

微小型潜器空间运动建模与仿真(英文)

对自主式潜器空间运动进行精确建模和仿真对研究其操纵和控制特性有重要意义,本文以开发的"MAUV-Ⅱ"微小型潜器为对象,基于动量定理和动量矩定理建立了潜器空间运动的非线性数学模型,将潜器受力分解为各个模块并表达为矩阵形式.在运动非线性数学模型的基础上,结合虚拟现实技术建立了运动仿真系统,针对所研究潜器的特点,采用S面控制方法对此"MAUV-Ⅱ"水下运动的艏向控制和深度控制进行了仿真研究,同时进行了基于目标规划的长距离航行仿真试验.仿真结果反映了潜器具有较好的空间操纵性能,也验证了控制软件的可行性和可靠性.     

神经网络自学习模糊控制器在直流蒸汽发生器控制中的应用

针对直流蒸发器的动态过程中，各段长度均发生变化，干扰因素多，具有不确定性和非线性等特性，利用神经网络具有并行处理，分布式信息存贮，自学习自适应特点等，设计了基于神经网络的自学习模糊控制器，仿真结果表明，所设计的控制器具有良好的控制效果。本文研究结果对直流蒸汽发生器的控制系统设计具有一定的指导意义。     

AUV水下回收过程中的操纵性仿真研究

在建立自主水下航行器(简称 AUV)六自由度运动模型的基础上,基于势流理论建立了潜艇运动扰动流场对 AUV 扰动力的计算模型,并对回转体 AUV 在回收时靠近潜艇过程中的操纵性进行了仿真,仿真结果显示,AUV 在靠近潜艇的过程中,潜艇扰动流场对 AUV 深度和侧向位移有较大的影响,而对姿态角的影响较小,因此,回转体 AUV 可以稳定地完成水下的回收运动。     

框架四叉树的自主水下航行器追踪动态目标研究(英文)

An autonomous underwater vehicle (AUV) must use an algorithm to plan its path to distant, mobile offshore objects. Because of the uneven distribution of obstacles in the real world, the efficiency of the algorithm decreases if the global environment is represented by regular grids with all of them at the highest resolution. The framed quadtree data structure is able to more efficiently represent the environment. When planning the path, the dynamic object is expressed instead as several static objects which are used by the path planner to update the path. By taking account of the characteristics of the framed quadtree, objects can be projected on the frame nodes to increase the precision of the path. Analysis and simulations showed the proposed planner could increase efficiency while improving the ability of the AUV to follow an object.     

自主式水下航行器水下回收融合引导技术方案及算法

[目的]为解决母艇携载的自主式水下航行器(AUV)在水下自主回收和对接的问题,基于惯导(INS)、声学超短基线定位(USBL)、光学等信号引导的多源数据融合,提出一种面向移动平台的AUV水下回收对接引导方法.[方法]为此,设计融合多传感器信息的扩展联邦卡尔曼滤波器,采用分散滤波并再经信息融合方法以提高滤波精度.分别以I...     

欠驱动自主水下航行器的镇定及跟踪

针对仅带有轴向推力及偏航力矩的欠驱动自主水下航行器（AUV）,研究了其在水平面内的轨迹跟踪及定点调节问题。基于Lyapunov直接法及串接一反步技术,通过采用一种带有动力学震荡器的跟踪误差变换,设计了一种统一的连续时变状态反馈控制律,并给出了参数自适应更新律以估计AUV的非线性阻力参数,使得AUV的位置及方向角的跟踪误差全局渐近收敛于零点左右的一个邻域内,该区域可以为任意小,并且,AUV的跟踪性能与外界干扰的大小无关。仿真结果证明所提出的方法是有效的。     

Power efficient formation configuration for centralized leader–follower AUVs control

Autonomous underwater vehicles (AUVs) have rapidly developed in the last few decades due to their autonomous properties in the investigation of an underwater environment. The goal of this paper is to develop a power efficient formation control for the cooperative motion of AUVs with a support vessel as a leader. In this paper, a kinematic algorithm for the joint motion of an AUV with a support vessel was developed and that algorithm was expanded for the formation of AUVs. The AUV yaw, surge and sway control loops were designed for that purpose. The complexing navigation system structure for the AUV was also developed. Simulation results demonstrated efficiency of the proposed kinematic algorithm for the joint motion of AUVs. Also, influence of lateral ocean current was considered. After development of the centralized leader?Cfollower formation control for the group of AUVs with a support vessel as a leader, we optimized a formation configuration in terms of power efficiency. Drag forces caused by AUV motion in the water can significantly influence power consumption. We investigated the relationship between the AUV's formation configuration, underwater coverage efficiency, communication quality and power consumption. As a result of research, we proposed a power efficient formation configuration for typical underwater operations. As a result, the effect of the AUV formation configuration on the power consumption was investigated and a trade-off solution for the optimal AUV positions in formation with minimal energy consumption, high coverage efficiency and small communication power consumption was derived.     

国外无人潜器最新进展

综述了国外无人潜器的最新进展,包括HROV最新海试情况、KAIKO ROV最新海试进展、ROV携带AUV进行协同作业、AUV的模块化、智能化、商业化发展及新型AUV-水下滑翔机的最新进展及海试情况。     

Analysis of signal-obtaining error factor of sensor in gyro

The digital signal-obtaining for gyroscope is given. The single optic-fiber sensor via modulating intensity of light is used as measuring eonlponent . The influence on static transmission properties resulting from the special working environnlent （e. g. cryogenic and vacuum） ,the measure error because of tile reflector shape of rotor,the abnormity of facula from sensor caused by the existence of engraving error,and tile fixing error of sensor and the error of machine tool＇s initial lignnlent are investigated. The mathematic model in every condition is founded, the simulation and relative experiments ale done and the outeome is analyzed. The mathematic model and method of compensating technology are studied and some relative experiments are made. The result of study is usefid to improvement of the signal-obtaining system.     

水下潜器改进S面控制及控制系统仿真(英文)

S surface controllers have been proven to provide effective motion control for an autonomous underwater vehicle (AUV). However, it is difficult to adjust their control parameters manually. Choosing the optimum parameters for the controller of a particular AUV is a significant challenge. To automate the process, a modified particle swarm optimization (MPSO) algorithm was proposed. It was based on immune theory, and used a nonlinear regression strategy for inertia weight to optimize AUV control parameters. A semi-physical simulation system for the AUV was developed as a platform to verify the proposed control method, and its structure was considered. The simulation results indicated that the semi-physical simulation platform was helpful, the optimization algorithm has good local and global searching abilities, and the method can be reliably used for an AUV.     

基于卷积神经网络的AUV水下识别算法设计与实现

自主式水下机器人(AUV)是应用于复杂海洋环境中的高智能化无人装备,其需要具备良好的环境感知能力进行自主导航,包括水下目标识别能力。随着人工智能的高速发展,卷积神经网络作为图像处理领域的深度学习架构,在图像特征提取和图像识别上有着强大的性能和卓越的优势。本文利用卷积神经网络,实现了自主式水下机器人水下目标的自主识别。同时,通过采用三段式全连接方式和增加卷积层深度的方式对卷积神经网络进行进一步改进,提高了卷积神经网络的训练速度、准确率和泛化能力。     

机载布放式AUV入水冲击仿真研究

机载布放式AUV是利用载机运送至特定海域上空,在一定条件下通过空投方式进入水下,完成预定工作的自主水下航行器。AUV入水时会受到巨大的载荷冲击,严重时会导致机体折断、元器件失灵,甚至引起弹道失控。为此,文章采用计算流体力学(Computational Fluid Dynamics,CFD)方法对机载布放式AUV的入水冲击问题进行了数值仿真研究。对不同入水速度、不同入水角度下AUV受力过程进行了计算,得出了不同入水条件下的速度响应曲线和压力响应曲线,可为机载布放式AUV的机体结构设计和投放条件研究提供参考。     

两层分级多学科设计框架在AUV的总体设计中的应用

将多学科优化方法作为一种新的设计方法应用于AUV的总体性能优化设计中.文中构建顶层控制系统层和并行独立子系统底层的两层分级的多学科优化设计框架,来实现AUV总体设计的有效载荷部分长度和推进力最大化和总重量最小化等的多个设计目标.使用的设计工具为商业软件iSIGHT和Fortran.