Event-triggered model-free adaptive control for a class of surface vessels with time-delay and external disturbance via state observer

This paper provides an improved model-free adaptive control(IMFAC)strategy for solving the surface vessel trajectory tracking issue with time delay and restricted disturbance.Firstly,the original nonlinear time-delay system is transformed into a structure consisting of an unknown residual term and a parameter term with control inputs using a local compact form dynamic linearization(local-CFDL).To take advantage of the resulting structure,use a discrete-time extended state observer(DESO)to estimate the unknown residual factor.Then,according to the study,the inclusion of a time delay has no effect on the linearization structure,and an improved control approach is provided,in which DESO is used to adjust for uncertainties.Furthermore,a DESO-based event-triggered model-free adaptive control(ET-DESO-MFAC)is established by designing event-triggered conditions to assure Lyapunov stability.Only when the system’s indicator fulfills the provided event-triggered condition will the control input signal be updated;otherwise,the control input will stay the same as it is at the last trigger moment.A coordinate compensation approach is developed to reduce the steady-state inaccuracy of trajectory tracking.Finally,simulation experiments are used to assess the effectiveness of the proposed technique for trajectory tracking.

Interpolation Technique for the Underwater DEM Generated by an Unmanned Surface Vessel

High-resolution underwater digital elevation models(DEMs)are important for water and soil conservation,hydrological analysis,and river channel dredging.In this work,the underwater topography of the Panjing River in Shanghai,China,was measured by an unmanned surface vessel.Five different interpolation methods were used to generate the underwater DEM and their precision and applicability for different underwater landforms were analyzed through cross-validation.The results showed that there was a positive correlation between the interpolation error and the terrain surface roughness.The five interpolation methods were all appropriate for the survey area,but their accuracy varied with different surface roughness.Based on the analysis results,an integrated approach was proposed to automatically select the appropriate interpolation method according to the different surface roughness in the surveying area.This approach improved the overall interpolation precision.The suggested technique provides a reference for the selection of interpolationmethods for underwater DEMdata.

Robust Leader-Follower Formation Tracking Control of Multiple Underactuated Surface Vessels

This paper is concerned with the formation control problem of multiple underactuated surface vessels moving in a leader-follower formation. The formation is achieved by the follower to track a virtual target defined relative to the leader. A robust adaptive target tracking law is proposed by using neural network and backstepping techniques. The advantage of the proposed control scheme is that the uncertain nonlinear dynamics caused by Coriolis/centripetal forces, nonlinear damping, unmodeled hydrodynamics and disturbances from the environment can be compensated by on line learning. Based on Lyapunov analysis, the proposed controller guarantees the tracking errors converge to a small neighborhood of the origin. Simulation results demonstrate the effectiveness of the control strategy.

Trajectory planning and tracking control for underactuated unmanned surface vessels

The trajectory planning and tracking control for an underactuated unmanned surface vessel(USV) were addressed.The reference trajectory was generated by a virtual USV,and the error equation of trajectory tracking for underactuated USV was obtained,which transformed the tracking and stabilization problem of underactuated USV into the stabilization problem of the trajectory tracking error equation.A nonlinear state feedback controller was proposed based on backstepping technique and Lyapunov's direct method.By means of Lyapunov analysis,it is proved that the proposed controller ensures that the solutions of closed loop system have the ultimate boundedness property.Numerical simulation results are presented to validate the effectiveness and robustness of the proposed controller.

Robust Adaptive Path Following for Underactuated Surface Vessels with Uncertain Dynamics

A robust adaptive control strategy was developed to force an underactuated surface vessel to follow a reference path,despite the presence of uncertain parameters and unstructured uncertainties including exogenous disturbances and measurement noise.The reference path can be a curve or a straight line.The proposed controller was designed by using Lyapunov’s direct method and sliding mode control and backstepping techniques.Because the sway axis of the vessel was not directly actuated,two sliding surfaces were introduced,the first one in terms of the surge motion tracking errors and the second one for the yaw motion tracking errors.The adaptive control law guaranteed the uniform ultimate boundedness of the tracking errors.Numerical simulation results were provided to validate the effectiveness of the proposed controller for path following of underactuated surface vessels.

METHOD FOR CALCULATION AND SIMULATION ON PROPAGATION OF SURFACE CRACK ON SPHERICAL VESSELS MADE OF STEELS

To avoid leaking or bursing by crack on surface of preddure vessels made of streels,a method for analyzing the principle of propagation of a surface crack is established,and used on a spherical vessel with program calculation and simulation,the program is written in QBASIC and the reaults are provided and discussed.

Dynamic Responses of Top Tensioned Riser Under Combined Excitation of Internal Solitary Wave, Surface Wave and Vessel Motion

An investigation on the dynamic response of a top tensioned riser （TTR） under combined excitation of internal solitary wave, surface wave and vessel motion is presented in this paper. The riser is idealized as a tensioned slender beam with dynamic boundary conditions. The KdV-mKdV equation is chosen to simulate the internal solitary wave, and the vessel motion is analysed by using the method proposed by Sexton. Using finite element method, the governing equation is solved in time domain with Newmark-13 method. The computation programs for solving the differential equations in time domain are compiled and numerical results are obtained, including dimensionless displacement and stress. The action of internal solitary wave on the riser is like a slow powerful impact, and is much larger than those of surface wave and vessel motion. When the riser is under combined excitation, it vibrates at frequencies of both surface wave and vessel motion, and the vibration is dominated by internal solitary wave. As the internal solitary wave crest passes by the centre of the riser, the maximum displacement and stress along the riser occur. Compared to the lower part, the displacement and stress of the riser in the upper part are much larger.

Vessel fusion tracking with a dual-frequency high-frequency surface wave radar and calibrated by an automatic identification system

High-frequency surface wave radar（HFSWR） and automatic identification system（AIS） are the two most important sensors used for vessel tracking.The HFSWR can be applied to tracking all vessels in a detection area,while the AIS is usually used to verify the information of cooperative vessels.Because of interference from sea clutter,employing single-frequency HFSWR for vessel tracking may obscure vessels located in the blind zones of Bragg peaks.Analyzing changes in the detection frequencies constitutes an effective method for addressing this deficiency.A solution consisting of vessel fusion tracking is proposed using dual-frequency HFSWR data calibrated by the AIS.Since different systematic biases exist between HFSWR frequency measurements and AIS measurements,AIS information is used to estimate and correct the HFSWR systematic biases at each frequency.First,AIS point measurements for cooperative vessels are associated with the HFSWR measurements using a JVC assignment algorithm.From the association results of the cooperative vessels,the systematic biases in the dualfrequency HFSWR data are estimated and corrected.Then,based on the corrected dual-frequency HFSWR data,the vessels are tracked using a dual-frequency fusion joint probabilistic data association（JPDA）-unscented Kalman filter（UKF） algorithm.Experimental results using real-life detection data show that the proposed method is efficient at tracking vessels in real time and can improve the tracking capability and accuracy compared with tracking processes involving single-frequency data.

Global Robust and Adaptive Output Feedback Dynamic Positioning of Surface Ships

A constructive method was presented to design a global robust and adaptive output feedback controller for dynamic positioning of surface ships under environmental disturbances induced by waves, wind, and ocean currents. The ship's parameters were not required to be known. An adaptive observer was first designed to estimate the ship's velocities and parameters. The ship position measurements were also passed through the adaptive observer to reduce high frequency measurement noise from entering the control system. Using these estimate signals, the control was then designed based on Lyapunov's direct method to force the ship's position and orientation to globally asymptotically converge to desired values. Simulation results illustrate the effectiveness of the proposed control system. In conclusion, the paper presented a new method to design an effective control system for dynamic positioning of surface ships.

A Review of Current Research and Advances in Unmanned Surface Vehicles

Following developments in artificial intelligence and big data technology,the level of intelligence in intelligent vessels has been improved.Intelligent vessels are being developed into unmanned surface vehicles(USVs),which have widely interested scholars in the shipping industry due to their safety,high efficiency,and energy-saving qualities.Considering the current development of USVs,the types of USVs and applications domestically and internationally are being investigated.USVs emerged with technological developments and their characteristics show some differences from traditional vessels,which brings some problems and advantages for their application.Certain maritime regulations are not applicable to USVs and must be changed.The key technologies in the current development of USVs are being investigated.While the level of intelligence is improving,the protection of cargo cannot be neglected.An innovative approach to the internal structure of USVs is proposed,where the inner hull can automatically recover its original state in case of outer hull tilting.Finally,we summarize the development status of USVs,which are an inevitable direction of development in the marine field.

带有状态/输入量化的无人艇航向跟踪控制

[目的]针对水面无人艇(USV)的海上通信受限的问题,提出一种带有状态/输入量化的USV航向跟踪控制方法。[方法]基于反步法设计系统控制律,结合动态面技术降低虚拟控制律的计算量膨胀问题。对于控制系统中存在的不确定项及外界干扰,利用扩张状态观测器(ESO)进行估计。采用均匀量化器分别对控制系统中的状态变量和控制输入进行量化,且量化后的状态反馈信息仅用于跟踪控制。利用量化状态递归设计基于ESO的USV航向控制器,证明闭环控制系统中量化变量和非量化变量间误差的有界性。[结果]基于李雅普诺夫稳定性理论,提出了量化误差考量及闭环系统稳定性判定方法,严格证明了所设计的带有状态量化和输入量化的USV航向跟踪控制系统的稳定性,仿真实验验证了该控制策略的有效性。[结论]结果表明,所提方法可为USV航向跟踪控制提供借鉴。

基于改进DQN算法的应召搜潜无人水面艇路径规划方法

针对应召反潜中无人水面艇航向和航速机动的情形,提出一种基于改进深度Q学习(Deep Q-learning,DQN)算法的无人艇路径规划方法。结合应召搜潜模型,引入改进的深度强化学习(Improved-DQN,I-DQN)算法,通过联合调整无人水面艇(Unmanned Surface Vessel,USV)的动作空间、动作选择策略和奖励等,获取一条最优路径。算法采用时变动态贪婪策略,根据环境和神经网络的学习效果自适应调整USV动作选择,提高全局搜索能力并避免陷入局部最优解;结合USV所处的障碍物环境和当前位置设置分段非线性奖惩函数,保证不避碰的同时提升算法收敛速度;增加贝塞尔算法对路径平滑处理。仿真结果表明,在相同环境下新方法规划效果优于DQN算法、A^(*)算法和人工势场算法,具有更好的稳定性、收敛性和安全性。

无人水面艇轻型鱼雷武器应用研究

轻型鱼雷武器应用于无人水面艇,可实现无人水面艇对潜艇目标的“发现即打击”。根据无人水面艇平台和轻型鱼雷武器的特点,提出无人水面艇轻型鱼雷武器的典型配置,总结轻型鱼雷武器在无人水面艇上的典型应用。从无人自主控制、安全性分析设计、长时间运行可靠性、模块化与快速部署、作战能力迭代升级等方面,讨论无人水面艇轻型鱼雷武器应用所面临的问题,并对部分问题针对性地提出解决途径,并开展试验验证。研究成果可用于指导反潜型无人水面艇以及反潜任务载荷设计、实现以及使用。

基于ANSYS Workbench稳定性分析的大型真空容器优化设计

真空容器是石油、化工等行业中常见的设备之一,与内压容器不同,真空容器往往发生的是稳定性破坏。文中首先采用有限元软件ANSYS Workbench对DN22000 mm的真空容器进行了特征值屈曲分析,结果表明:其外压承载系数为17.427,远大于外压安全系数2.5。进而采用Response Surface Optimization模块对该真空容器进行优化设计,分析了外压承载系数、容器质量随穹顶壁厚和筒体壁厚的变化规律,以及外压承载系数、容器质量、应力随穹顶辐射筋数量的变化规律。最终确定穹顶壁厚取20 mm、筒体壁厚取22 mm、穹顶辐射筋取16个,优化后结构较最初结构质量减小了83140 kg,减小了17.02%,并且稳定性满足ASME规范要求,实现了容器轻量化的设计目标,从而显著降低制造成本。

改进RRT^(*)算法的无人艇局部路径规划方法

文中提出一种改进RRT^(*)算法,该算法依据国际海上避碰规则计算本船与他船间DCPA与TCPA并判断会遇场景,限制采样空间.通过偏置采样在采样空间中选取采样点,增强目的性,加快搜索速度.依据线段公理和锚点采样的方式重新选择父节点,去除中间冗余的节点,减少路径转向次数和路径长度,使得最终生成的路径相对平滑.结果表明:改进RRT^(*)算法减少了81%以上的转向点和5%以上的路径长度.

长蛇灸调节阳虚体质的体表温度特征

目的探讨长蛇灸调节阳虚体质施灸时体表温度特征。方法将80例阳虚体质受试者以1∶1比例随机分为督脉组和膀胱经组各40例。督脉组取背部督脉为施灸部位,膀胱经组取膀胱经〔据后正中线10 cm(3寸)处〕为施灸部位,进行长蛇灸治疗,1次/w,每次3壮(约45 min),共治疗12次。观察两组治疗前、后阳虚体质评分,评估临床疗效;运用温度测试探头采集施灸时体表温度,对比不同经脉施灸、不同疗效程度受试者的体表温度特征。结果治疗后督脉组总有效率明显高于膀胱经组(P<0.05)。治疗后,督脉组和膀胱经组阳虚体质转化分均明显低于治疗前;且督脉组阳虚体质转化分明显低于膀胱经组(P<0.05)。督脉组总平均体表温度明显高于膀胱经组(P<0.05);不同测量时间对经脉体表温度的影响差异有统计学意义(P<0.05);不同测量时间对体表温度的影响存在经脉之间的显著差异(P<0.05);第3、5、7、12次治疗的督脉组平均温度明显高于膀胱经组(P<0.05)。膀胱经组中治疗有效者的体表温度明显高于治疗无效者(P<0.05);所有受试者中治疗有效者的体表温度显著高于治疗无效者(P<0.05)。结论长蛇灸可有效调节阳虚体质,督脉是优选治疗部位;长蛇灸疗效与体表温度呈现出督脉温度高于膀胱经温度、灸效越好温度更高的特征。

基于输入饱和的欠驱动水面舰艇预定义时间跟踪控制

[目的]为解决欠驱动水面舰艇(USV)在模型不确定性、强耦合特性和控制器输入饱和情况下的轨迹跟踪问题,提出基于输入饱和的USV预定义时间跟踪控制方法。[方法]针对USV模型具有非零对角项和强耦合特性问题,引入坐标变换,将系统模型转变为斜对角形式;将预定义时间性能函数与障碍Lyapunov函数(BLF)结合,保证瞬态和稳态的跟踪性能;利用自组织神经网络(SSNN)降低未知外部环境扰动和复杂的连续未知非线性项以及输入饱和产生的影响,以保证控制系统的跟踪精度,并且在线调整优化SSNN的神经元数目,减少控制系统的计算负担。[结果]基于Lyapunov稳定性理论,证明了闭环系统在预定义时间内是有界稳定的,跟踪误差始终保持在约束范围内。[结论]仿真结果表明,所提控制策略是有效的,其具有良好的跟踪性能。

基于3D激光雷达的水面无人艇靠泊参数估计

为准确地估计靠泊参数,提出了一种基于艇载3D激光雷达的靠泊参数估计方法。该方法包括2个主要模块:无人艇位姿估计和靠泊状态估计。无人艇位姿估计模块采用点云预处理算法对原始点云进行降采样并滤除异常值,利用点云配准算法实现了无人艇靠泊过程中的位姿估计。靠泊状态估计模块通过MSAC算法提取泊位边界信息,并基于此信息计算靠泊参数。实验结果表明:该算法所得无人艇位姿信息和靠泊参数信息均与实际相符,平均靠泊距离误差小于0.023 m,平均角度误差小于0.26°,验证了该靠泊参数估计算法的准确性和合理性。

基于智能预测控制的鱼雷状小型无人艇轨迹跟踪研究

[目的]针对无人艇(USV)在狭窄湖泊、涵洞作业时存在精度保持难和航迹控制难的问题,以自主研制的一款鱼雷状小型USV为对象,提出一种轨迹跟踪智能预测控制方法。[方法]首先,构建自主研制的欠驱动USV非线性状态空间模型;然后,设计智能预测控制器,该控制器基于模型预测控制的设计思想并结合改进的粒子群算法,在线决策、优化每一时刻的性能指标并纠正预测状态;最后,开展仿真和湖试试验测试系统对参考轨迹的跟踪性能,并与线性模型预测控制器的跟踪性能进行比较。[结果]结果表明,所设计的智能预测控制器超调小、抗干扰性好。[结论]所提方法不仅能运用于鱼雷状小型USV跟踪系统,也能对其他USV跟踪系统起到很好的借鉴作用。

基于移动长基线和导航误差修正的USV/UUV协同导航算法

针对无人水下航行器长时间协同运动,惯性导航误差累积增长的问题,为减小USV/UUV之间相对导航误差,提高UUV导航精度,提出一种基于移动长基线和导航误差修正的无人水面艇(USV)/无人水下航行器(UUV)协同导航算法。该算法基于水声通信测距,首先由UUV收集其与USV间相对距离信息,计算相对导航误差修正量,接着将修正量添加到USV当前导航位置中,结合USV与UUV间的队形设置以及UUV自身低精度导航设备解算的位置,最终实现对UUV累积的惯导位置误差修正。仿真结果表明,在USV/UUV协同运动过程中,通过对修正后UUV位置信息以及UUV惯导解算得到的位置量进行融合,可显著提高UUV导航精度。