水下拖体姿态角自适应控制器设计

水下拖曳系统在工作过程中拖体的俯仰角控制一直是水下拖体姿态控制的重要环节，设计了一种基于 RBF 神经网络的水下拖体直接自适应控制器，在闭环系统中利用 RBF 神经网络的局部无限逼近非线性函数的特性。将 RBF 神经网络的输出代替水下拖体动力学模型中的非线性不确定项，配合传统的 PD 控制器， 无需预先离线学习，在线学习更新神经网络权值，控制律和神经网络权值更新律经 Lyapunov 定理证明为稳定， 跟踪误差收敛到 0，通过计算机仿真比较该控制器与传统 PD 控制器的控制效果。     

基于BP神经网络的深水自升式海洋平台智能控制模型试验研究

基于BP神经网络控制方法设计了一种适用于自升式海洋平台的智能控制系统。为了验证该控制系统的有效性,以墨西哥湾海域某典型深水自升式海洋平台为原型,根据动力相似准则按照1∶40的相似比设计海洋平台试验模型,采用磁流变阻尼器作为实施该智能控制方法的控制器,并对其主要参数进行了设计。在此基础上,在波浪水池中分别对有、无安装控制系统的自升式海洋平台模型进行了多工况的波浪试验,通过对比安装控制系统前后平台结构的响应幅度,研究了控制系统的振动控制效果。试验结果表明:基于BP神经网络的磁流变阻尼智能控制系统能够有效地控制自升式海洋平台结构的动力响应,且控制效果稳定。     

基于改进近似模型的水下鱼雷打靶快速预报方法

鱼雷打靶试验对评价武器系统对目标的打击性能具有重要意义。水动力参数是模拟鱼雷水下运动轨迹、预报鱼雷打靶落点的关键参数。随着现代 CFD 技术的发展,采用数值方法获取水动力参数,提高了轨迹预报精度,但计算效率不高,不利于多工况下鱼雷打靶预报。首先,基于刚体动量和动量矩定理建立了鱼雷的水下运动方程组,运用 4 阶龙格–库塔(Runge-Kuta)法对运动方程组进行数值求解,对鱼雷水下轨迹进行模拟,从而获取鱼雷打靶性能。其次,提出了基于遗传算法的近似模型(GA-BP)和自适应遗传算法优化的近似模型(AGA-BP)模拟鱼雷水下打靶落点,对鱼雷打靶性能进行快速预报。通过仿真和数据对比,结果表明：AGA-BP 预测模型相对于 BP 预测模型更稳定、GA-BP 预测模型收敛速度更快,实现对鱼雷水下打靶快速预报。     

拖曳系统计算中拖缆与拖体的耦合计算

针对带有水下设备舱的拖曳系统,提出了一种有效的算法,来获得拖曳系统的运行状态。将拖曳系统分成拖缆和水下拖体两个部分,分别建立运动数学模型。拖缆部分的模型以Ablow和Schechter的运动数学模型为基础;拖体部分的模型采用类似潜器的水下六自由度运动方程。将这两部分方程联立,统一求解,解决两个模型之间的耦合问题。经过数值仿真的检验证明算法具有可行性。     

长江口流域亚硝酸盐预测模型与分析

营养盐是控制长江口流域富营养化的关键因子之一。分析亚硝酸盐与其影响因子之间关系,引入人工智能方法,基于弹性BP神经网络,建立亚硝酸盐非线性预测模型,目的是通过影响因子在线监测,间接实现亚硝酸盐在线监测。依据神经网络权值和阈值获取方法不同,形成基于弹性BP神经网络、基于遗传算法和弹性BP神经网络,和基于改进的遗传算法和弹性BP神经网络的亚硝酸盐预测模型3种。通过仿真实验,分析3种模型对亚硝酸盐预测的影响,发现基于改进的自适应遗传算法和弹性BP神经网络的亚硝酸盐模型预测效果最优,为选择合适模型提供依据。     

极区拖曳浮标恒速牵引模拟系统设计与实现

为研究极地浮冰的漂移对冰基拖曳式浮标水下拖曳标体运动的影响,设计了一种恒速牵引装置,模拟极地浮标的定向移动,用于定量研究拖曳标体在不同漂移速度下的的沉浮规律,为标体的设计提供数据支持。该装置用可编程控制器PLC作为主控制器,以步进电机为执行器,编码器测算牵引速度,通过PID算法控制牵引速度保持恒定。用LabVIEW设计了上位机控制界面,能够对PLC进行控制和状态监视,并可显示存储牵引速度值。实验结果表明该装置可在600 m的牵引行程内,牵引速度误差小于2%,符合定量模拟浮冰漂移速度的控制要求。在浮标静水拖曳试验中使用该装置模拟水面标体随风低速漂移,可以定量给出水下拖曳体的最大下潜深度,对极地拖曳式浮标系统的开发和布放前的检验具有重要意义。     

水下拖曳升沉补偿系统水动力数学模型研究

建立变缆长的水下拖曳升沉补偿系统水动力学偏微分方程组和边界条件.拖缆动力学模型基于Ablow and Schechter模型,拖体采用水下运载体六自由度方程模拟,运用有限差分法离散偏微分方程组和牛顿迭代法计算变缆长情况下拖体深度与拖缆各点张力的动态取值.数值计算结果表明采用收放拖缆的升沉补偿方法能够有效削弱母船升沉运动对拖体深度和拖缆张力的影响.     

水下自主机器人水动力预报方法研究

针对水下机器人操纵性优化设计中水动力系数预报问题,在水下机器人水动力预报中引入艇体肥瘦指数概念,确定了水下机器人艇体几何描述的五参数模型。提出采用小波神经网络方法预报水下机器人水动力,确定了神经网络的结构,利用均匀试验设计方法,设计了神经网络的学习样本。研究结果表明,只要确定适当的输入参数,选择适当的学习样本和网络结构,利用小波神经网络方法对水下机器人水动力进行预报可以达到较好的精度。     

水下拖曳航行器水动力和拖缆姿态仿真分析

水下拖曳航行器是被广泛应用的水下监测平台。为掌握水下拖曳航行器的水动力及其拖揽姿态，文章通过CFD仿真分析计算其零攻角下的阻力系数，并通过多刚体-球铰模型建立其运动数学模型，分析不同航速下拖曳系统的总拉力、拖缆长度和航行器位置等的参数变化。研究结果表明：随着船舶航速的变化，拖曳系统各项参数变化的差别很大；在200 m深度时，6 kn航速相比4 kn航速的总拉力增加73%，而所需的拖缆长度仅增加1%。该数学模型可对不同航速下的水下拖曳系统的总拉力和拖缆姿态等做出预测，为拖曳系统设计提供技术支撑。     

水下滑翔器运动控制与自主导航策略

水下滑翔器嵌入式控制系统采用Philips公司的LPC2478为主控芯片,搭载多路高精度传感器以及伺服执行系统。通过对水下滑翔器的结构分析,构建出水下滑翔器的动力学模型,采用神经网络PID控制算法调节动力学模型中的俯仰角和横滚角,实现水下滑翔器在水下运行时的姿态调节与航迹控制。引入高斯大地线算法,分析处理经纬度坐标与航向角数据,计算得到水下滑翔器的航行距离与航向角偏差数据,从而控制伺服系统实现导航控制。同时,鉴于水面环境与水下环境的差异,为提高水下滑翔器的导航精度,引入水下航位推算算法,推算出水下滑翔器在水下的航向与姿态角,提高其在水下运行的精确度。     

A hydrodynamic model of a two-part underwater towed system

A three-dimensional model of a two-part underwater towed system is studied. In the model, the governing equations of cables are established based on the Ablow and Schechter method. The boundary conditions for the two-part underwater towed system are derived. The six-degrees-of-freedom equations of motion for submarine simulations are adopted to predict the hydrodynamic performance of a towed vehicle. The established governing equations for the system are then solved using a central finite difference method. In this paper several algorithms are used to solve this special form of finite difference equations. The results in this paper indicate that the two-part underwater towed system improves the dynamic behavior of the towed vehicle and is an easy way to decouple the towing ship motion from the towed vehicle. Because the model uses an implicit time integration, it is stable for large time steps and is an effective algorithm for simulation of a large-scale underwater towed system.     

Investigation on a two-part underwater manoeuvrable towed system

A hydrodynamic model of a two-part underwater manoeuvrable towed system is proposed in which a depressor is equipped with active horizontal and vertical control surfaces, and a towed vehicle is attached to the lower end of a primary cable. In such a system the towed vehicle can be manoeuvred in both vertical and horizontal planes when it is towed at a certain velocity and the coupling effect of excitations at the upper end of the primary cable and disturbances of control manipulations to the towed vehicle can be reduced. In the model the hydrodynamic behavior of an underwater vehicle is described by the six-degrees-of-freedom equations of motion for submarine simulations. The added masses of an underwater vehicle are obtained from the three-dimensional potential theory. The control surface forces of the vehicle are determined by the wing theory. The results indicate that with relative simple control measures a two-part underwater manoeuvrable towed system enables the towed vehicle to travel in a wide range with a stable attitude. The method in this model gives an effective numerical approach for determining hydrodynamic characteristics of an underwater vehicle especially when little or no experimental data are available or when costs prohibit doing experiments for determining these data.     

基于分布式控制力矩陀螺的水下航行器轨迹跟踪控制

基于控制力矩陀螺群(CMGs)的水下航行器具有低速或零速机动的能力。采用基于分布式CMGs的水下航行器方案,并研究其水平面的轨迹跟踪控制问题。通过全局微分同胚变换将非完全对称的动力学模型解耦成标准欠驱动控制模型,并根据简化的模型构建其轨迹跟踪的误差动力学模型,将轨迹跟踪控制问题转化为误差模型镇定问题。基于一种分流神经元模型和反步法设计了系统的轨迹跟踪控制律,该控制器不需要对任何虚拟控制输入进行求导计算,且能确保跟踪误差的最终一致有界性。仿真结果表明该控制器能够实现在不依赖动力学参数先验知识的情况下对光滑轨迹的有效跟踪。     

立式翼型主体拖曳式水下潜器的设计及操纵性能

针对现有拖曳式水下潜器控制机构复杂、航向与姿态不容易稳定的缺陷,提出和设计了一种具有航向与姿态稳定的多自由度可控制拖曳式水下潜器样机。该样机主要由鱼雷状浮体、固定水平主翼、转角可控制襟翼、立式翼型主体等部分组成,潜器的深度控制通过控制襟翼的偏转来诱导固定水平主翼攻角的改变来实现;潜器的横荡运动操纵以通过控制两个作为转艏控制器的导管螺旋桨的转向与转速、诱导立式翼型主体产生诱导力矩使其产生横向偏转来进行。文中所提出和设计的样机具有运动过程中自我稳定能力强、航向稳定性好、控制机构简单并具有较高实用价值的特点。     

Experimental investigation on a two-part underwater towed system

An experimental set-up is developed and proved to be effective for laboratory study of an underwater towed system. The experimental technique gives a practical method for monitoring the kinematic and dynamic performance of an underwater towed system in a ship towing tank. Both the theoretical and experimental results in the investigation indicate that the hydrodynamic response of a towed vehicle to the wave induced motion of a towing ship can be significantly reduced by applying a two-part tow method. A comparison of the numerical and experimental results in the investigation demonstrates that the numerical simulation results are close to the experimental data, overall agreement between experimental and theoretical results is satisfactory. The results qualitatively verify the mathematical model of a two-part underwater towed system proposed by Wu and Chwang [Wu, J., Chwang, A.T., 2000. A hydrodynamic model of a two-part underwater towed system. Ocean Engineering 27 (5), 455–472].     

自主水下航行器的软变结构控制

研究自主水下航行器系统的软变结构控制策略问题。首先分析软变结构控制系统的结构特征,利用双曲正切函数,给出控制受限情形的软变结构控制策略。其次利用Lyapunov稳定性理论,讨论自主水下航行器软变结构控制系统的稳定性,然后构造了基于双曲正切函数的软变结构控制器,给出自主水下航行器软变结构控制的具体算法。基于双曲正切函数的自主水下航行器软变结构控制系统调节精度高,响应速度快,有效地削弱了系统抖振。最后通过一个仿真实验,比较了自主水下航行器垂直深度通道的4种控制策略对系统性能的影响,从而验证了研究方法的有效性。     

An Integrated Hydrodynamics and Control Model of A Tethered Underwater Robot

An integrated hydrodynamics and control model to simulate tethered underwater robot system is proposed. The governing equation of the umbilical cable is based on a finite difference method, the hydrodynamic behaviors of the underwater robot are described by the six-degrees-of-freedom equations of motion for submarine simulations, and a controller based on the fuzzy sliding mode control (FSMC) algorithm is also incorporated. Fluid motion around the main body of moving robot with running control ducted propellers is governed by the Navier–Stokes equations and these nonlinear differential equations are solved numerically via computational fluid dynamics (CFD) technique. The hydrodynamics and control behaviors of the tethered underwater robot under certain designated trajectory and attitude control manipulation are then investigated based on the established hydrodynamics and control model. The results indicate that satisfactory control effect can be achieved and hydrodynamic behavior under the control operation can be observed with the model; much kinematic and dynamic information about tethered underwater robot system can be forecasted, including translational and angular motions of the robot, hydrodynamic loading on the robot, manipulation actions produced by the control propellers, the kinematic and dynamic behaviors of the umbilical cable. Since these hydrodynamic effects are fed into the proposed coupled model, the mutual hydrodynamic influences of different portions of the robot system as well as the hydrological factors of the undersea environment for the robot operation are incorporated in the model.     

Nonlinear adaptive control of an underwater towed vehicle

This paper addresses the problem of simultaneous depth tracking and attitude control of an underwater towed vehicle. The system proposed uses a two-stage towing arrangement that includes a long primary cable, a gravitic depressor, and a secondary cable. The towfish motion induced by wave driven disturbances in both the vertical and horizontal planes is described using an empirical model of the depressor motion and a spring-damper model of the secondary cable. A nonlinear, Lyapunov-based, adaptive output feedback control law is designed and shown to regulate pitch, yaw, and depth tracking errors to zero. The controller is designed to operate in the presence of plant parameter uncertainty. When subjected to bounded external disturbances, the tracking errors converge to a neighbourhood of the origin that can be made arbitrarily small. In the implementation proposed, a nonlinear observer is used to estimate the linear velocities used by the controller thus dispensing with the need for costly sensor suites. The results obtained with computer simulations show that the controlled system exhibits good performance about different operating conditions when subjected to sea-wave driven disturbances and in the presence of sensor noise. The system holds promise for application in oceanographic missions that require depth tracking or bottom-following combined with precise vehicle attitude control.     

Discrete-time quasi-sliding mode control of an autonomousunderwater vehicle

This paper presents a discrete-time quasi-sliding mode controller for an autonomous underwater vehicle (AUV) in the presence of parameter uncertainties and a long sampling interval. The AUV, named VORAM, is used as a model for the verification of the proposed control algorithm. Simulations of depth control and contouring control are performed for a numerical model of the AUV with full nonlinear equations of motion to verify the effectiveness of the proposed control schemes when the vehicle has a long sampling interval. By using the discrete-time quasi-sliding mode control law, experiments on depth control of the AUV are performed in a towing tank. The controller makes the system stable in the presence of system uncertainties and even external disturbances without any observer nor any predictor producing high rate estimates of vehicle states. As the sampling interval becomes large, the effectiveness of the proposed control law is more prominent when compared with the conventional sliding mode controller     

主动式声纳列阵拖曳系统姿态数值计算

主动式声纳列阵拖曳系统是用于探测潜艇的新型声纳系统，为了准确探测潜艇的位置，必须首先预报声纳列阵的瓷态，本文通过对其三维力学模型的分析，得到该系统的运动微分方程，其中缆索的力学方程是基于Ablow和Milinazzo的模型，而对于拖体则运用六自由度空间运动方程模拟，结合边界条件，用有限差分法求解，通过对拖船的不同运动状态如匀速，变速和回转的计算，证明本文的方法对于预报声纳列阵的姿态是有效的。