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为解决智能船舶实船实验困难、成本高和航行风险大等问题,选取封闭水域建立智能船舶船岸协同模拟系统.通过分析系统的功能需求,设计了系统整体架构及功能模型,研究了智能船舶船岸协同实验实现的关键技术,并在智能船舶运动建模中加入风力干扰,提升了船舶运动模型的精确度.利用船岸协同实验系统,在实验水域中进行了智能船舶操纵性实验、静态障碍物避碰实验以及路径跟踪实验.实验结果表明,运动模型仿真结果减少近50%误差,回转实验中在有风和无风2种条件下几乎无旋回速度和船速的改变,实际航行轨迹与参考轨迹的偏差也在0.2~1 m以内,满足智能船舶实验需求,为智能船舶的航行验证提供了基础实验平台. 相似文献
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工程船舶远程维修决策支持系统开发研究 总被引:1,自引:0,他引:1
为了保证工程船舶的运行过程中的安全,必须建立船舶设备的维修决策支持系统。依照工程船舶的特点,分析了建立维修决策支持系统的理论依据,分析了系统的功能,确定了维修决策支持系统的系统方案。 相似文献
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为保障水上飞机起飞安全,研究起飞过程中的水上飞机与船舶的碰撞危险度.基于水上飞机与船舶的运动特点和安全需求,在已有船舶领域研究的基础上,将水上飞机滑行阶段和爬升结合起来,构建水上飞机三维动态领域;引入动界概念,根据目标船与水上飞机领域、动界的位置关系,建立滑行阶段水上飞机与船舶的碰撞危险度模型;综合考虑水上飞机与船舶在水平方向和垂直方向的碰撞危险,建立爬升阶段水上飞机与船舶的碰撞危险度模型.以湛江某水上机场为例进行验证,结果表明,该模型可有效确定水上飞机起飞过程中与船舶的碰撞危险.采用三维动态领域计算水上飞机与船舶的碰撞危险度,既涵盖了滑行过程,又涵盖了爬升过程,具有较好的完整性,可为水上飞机起飞避碰决策提供参考. 相似文献
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运用船舶操纵性的理论知识以及数学建模的方法,对船舶在桥区风、流作用下的运动规律进行分析,推导出船舶在桥区风流作用下的运动模型,为船舶驾驶员操纵船舶提供理论依据. 相似文献
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上海东海大桥和杭州湾大桥成为我国海上大桥建设真正意义上的开始,以这两桥建设为契机,中铁大桥局实现了从长江内河向海上建桥的跨越,开始了海上工程船舶设备的装备发展过程,其中包括“小天鹅”号运架梁起重船、“天一号”运架梁起重船等。介绍各工程船舶的主要技术特点和性能。 相似文献
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实时检测内河船舶流量对水上交通管理具有重要意义.为实时检测船舶流量,研究了一种基于虚拟线圈的船舶流量检测系统.虚拟线圈即在视频图像上设置一个封闭区域,根据该区域内图像的变化检测是否有运动目标通过.利用RGB三通道背景差分法得到视频图像的二值化图像,二值化图像的三个分割阈值由大津法求出.设置2个平行的虚拟线圈,通过虚拟线圈的船舶会被检测并计数,同时检测船舶的船长与船宽,利用BP神经网络对船舶进行分类.通过在武汉长江大桥和武汉长江二桥上不同时间段采集的视频进行实验,结果表明,船舶计数正确率达到97.1%,计数漏检率2.9%,计数错检率0%,船舶分类正确率98.6%.处理一帧图片的平均时间为7 ms,具有较好的实时性. 相似文献
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为了得到理想的航空系统客运量预测结果,引入了系统动力学预测方法。在对航空运输系统主要因素及因果关系分析的基础上,建立了航空运输客运需求量系统动力学模型,并采用历史统计数据对模型进行了仿真和验证,结果证明该模型有效可行,可以较好地克服传统预测方法的不足之处。 相似文献
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基于ADAMS与Matlab的ABS模糊控制仿真研究 总被引:2,自引:0,他引:2
将多体系统动力学与智能控制理论相结合对汽车制动防抱死控制系统进行了研究,利用ADAMS/CAR建立了汽车整车的多体力学模型,模型包含了前后悬架、动力总成、转向系统、稳定杆、制动系、轮胎力学模型以及车身,同时也考虑了轮胎、衬套、弹簧、减震器等部件的非线性,准确地表达了车辆的动态特性;利用Matlab/Simulink模糊控制工具箱建立了制动防抱死控制系统的模糊控制策略,利用ADAMS/Control接口进行模型的集成、协同仿真,并将仿真结果与另一种控制策略一逻辑门限值控制的仿真结果进行了比较和分析,仿真反映出模糊控制在整车制动防抱死控制系统上的应用效果,结果表明该控制算法稳定好并具有较强的鲁棒性。 相似文献
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E. Esmailzadeh F. Fahimi Graduate Student 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》1997,27(2):89-107
In order to present a useful method for designing active suspension of a vehicle, a linear full-car model is used in this investigation. In this model, the dampers of passive system are totally replaced by actuators. The actuators are controlled with optimal full state vector feedback. After determining feedback coefficients, the responses of active and passive systems were compared and it was found that performance of active system is much superior. It is desired that, changes in vehicle parameters would not affect the system's performance and hence should not violate its optimality. In other words, the system should behave adaptively using Model Reference Adaptive Control. The optimally controlled active suspension was used as a model for the active suspension of vehicle. In this way, the suspension of vehicle is controlled in such a way that its output approaches to that of the optimal active model. Thus the suspension should behave just like the optimal one. 相似文献
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《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2012,50(6):889-914
The present paper describes the study of the stability in the straight running of a three-wheeled tilting vehicle for urban and sub-urban mobility. The analysis was carried out by developing a multibody model in the Matlab/SimulinkSimMechanics environment. An Adams-Motorcycle model and an equivalent analytical model were developed for the cross-validation and for highlighting the similarities with the lateral dynamics of motorcycles. Field tests were carried out to validate the model and identify some critical parameters, such as the damping on the steering system. The stability analysis demonstrates that the lateral dynamic motions are characterised by vibration modes that are similar to that of a motorcycle. Additionally, it shows that the wobble mode is significantly affected by the castor trail, whereas it is only slightly affected by the dynamics of the front suspension. For the present case study, the frame compliance also has no influence on the weave and wobble. 相似文献
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Lei Xu 《Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility》2019,57(3):444-469
A stochastic mathematical model is developed to evaluate the dynamic behaviours and statistical responses of vehicle–track systems when random system excitations including crosswinds and track irregularities are imposed. In this model, the railway vehicle is regarded as a multi-rigid-body system, the track system is modelled by finite element theory. These two systems are spatially coupled by the nonlinear wheel–rail contact forces and unsteady aerodynamic forces. The high efficiency and accuracy of this stochastic model are validated by comparing to the robust Monte-Carlo method. Numerical studies show that crosswinds have a great influence on the dynamic performance of vehicle–track systems, especially on transverse vibrations. When the railway vehicle initially runs into the wind field, it will experience a severe vibration stage, and then stepping into a relatively steady state where the fluctuating winds and track irregularities will play deterministic roles in the deviations of system responses. Moreover, it is found that track irregularities should be properly considered in the safety assessment of the vehicle even in strong crosswinds. 相似文献
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