科考船多波束导流罩线型CFD分析方法与试验验证

针对于科考船多波束导流罩设计和船体线型设计缺少关联分析的主要问题,介绍了一种科考船导流罩线型与船体线型一体化CFD分析方法,综合考虑实船航行过程中船体型线和导流罩型线之间的相互影响。根据这种分析方法,分别对导流罩和船体组合线型的阻力性能和防气泡性能进行了CFD预报,并进行了船模试验。两者吻合良好,验证了此种CFD分析方法的工程实用性。     

Adaptive robust control for an active heave compensation system

Active heave compensation systems are usually employed in offshore and deep-sea operations to reduce the adverse impact of unexpected vessel’s vertical motion on the response of underwater instruments.This paper presents a control strategy for an active heave compensation system consisting of an electro-hydraulic system driven by a double rod actuator,which is subjected to parametric uncertainties and unmeasured environmental disturbances.Adaptive observer and discontinuous projection type updating law with bounded adaption rate are presented firstly to estimate the uncertain system parameters.Then a similar estimation algorithm is designed by using a multiple delayed version of the system to enhance the performance of parameter observation.A reduced order observer is also introduced to estimate unknown wave disturbances.Using the obtained uncertainty information,the resulting control development and stability analysis are implemented based on the Lyapunov’s direct method and back-stepping technique.The proposed controller guarantees the heave compensation error convergent to a bounded neighborhood around the origin.Simulations illustrate the effectiveness of the proposed control system.     

UML在3500m深海潜水器远程监控系统中的应用和实现

本文分析了统一建模语言（UML）方法在信息建模中的优点，并将其应用于3500m深海潜水器远程监控系统的开发；根据文中给出的方法，成功设计出一套远程监控系统软件并最终在潜水器的试验过程中得到了很好的运用。     

重载深潜推进器性能分析及设计

文章从理论上分析了重载情况下深潜推进器的设计原理,以加速型导管DSN2导管为例,研究几个重要因素比如盘面比、螺距比(P/D)等不同参数对导管桨的性能影响,并通过导管桨敞水试验验证了这些结论.结果表明,深潜器重载情况下,较大P/D的导管桨提供较大推力,盘面比和P/D较小的导管桨有较高的效率.针对不同深潜推进器的要求,根据文中推论,可将设计参考选定在一个较小并且准确的范围内,从而快速地设计出满足使用要求的推进器.     

基于拓扑优化方法的全海深无人潜水器本体浮力构件的防护结构设计

结构的轻量化设计直接关系到水下潜器总体性能的优劣,是深海水下潜器结构设计的重要目标。以全海深无人潜水器本体浮力构件的安装防护结构为研究对象,选取典型浮力构件,采用3种设计方案,使用ANSYS Workbench软件在假设的碰撞载荷和浮力载荷作用下对设计的安装防护结构的应力和变形进行计算分析和比较。结果表明,基于Inspire软件拓扑优化方法的结构设计,显著提高了设计效率,满足强度和功能设计需求,能充分发挥材料性能,实现了轻量化的设计目标,并通过了水池测试和海试应用验证。     

球形水下机器人滚进特性试验与动力学建模分析北大核心CSCD

[目的]为了探究球形水下机器人的滚进运动规律,以及质量分布对其运动的影响,对其机械机构进行创新设计及分析。[方法]首先,依据牛顿-欧拉方法建立球形机器人的滚进动力学模型;然后,通过地面滚进试验和水下滚进动力学理论研究,分析机器人的质量分配对滚进运动产生的影响;最后,通过搭建仿真环境和虚拟样机,对球形水下机器人在水下和陆地的滚进动力学进行对比分析。[结果]结果表明,当内置小车以恒定角速度输出时,该球形机器人的运动位移呈波动变化且驱动小车在球壳内的摆角也成周期性变化规律;当增加驱动配重时,小车摆角的周期和幅值均相应变小,球形水下机器人的运动更为稳定。[结论]所做研究可为球形水下机器人的设计优化提供指导。     

基于凯恩动力学的AUV建模

推导出基于凯恩动力学的AUV运动学和动力学方程。采用广义速度取代速度和角速度,给出了广义惯性力和广义主动力的计算方法。推导出作用在AUV上的水动力的计算方法,并通过仿真实验给出了水动力系数。为了验证该模型的有效性,对AUV的深度控制、前进距离控制进行了仿真。仿真结果表明,该模型是有效的。     

H ∞ parameter identification and H 2 feedback control synthesizing for inflight aircraft icing

Aircraft icing accident happens frequently. Researchers try to find new ways to solve this problem. The study is facing the direction of intelligent inspection and control system. Previous studies focused on the principle of aircraft icing and its effects on flight performance. The onboard icing detection equipment can only give the qualitative icing information, but cannot effectively describe how serious the consequences would be. If the icing detection equipment fails, it will cause a serious threat to flight safety. This paper reviews the smart icing system and its fundamental principle. Then based on H∞ theory, an aircraft icing parameter identification method is introduced, and its feasibility is verified by simulation results. Moreover, this method can work normally under noise interference and measurement error. Icing parameter identification method can also test part of aircraft’s stability or control derivatives which would be changed obviously after aircraft icing. Classified by neural networks, the stability or control derivatives’ variation can be mapped to ice parameters’ variation that reflects the severity of aircraft icing. Then H2 state feedback control is designed originally to suppress the impact of noise interference, so aircraft can keep steady after it is iced. Seeing from simulation result of the whole system, it is clear that the system can effectively detect icing parameters and by using feedback control system, it can ensure the safety of aircraft in the flight envelope.