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2015 23rd Mediterranean Conference on Control and Automation (MED)最新文献

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Modelling spatial surface pellet distribution from rotary pneumatic feed spreaders 模拟空间表面颗粒分布从旋转气动给料机
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158857
Kristoffer Rist Skoien, M. Alver, J. A. Alfredsen
This paper presents a combined robotic and external ballistic model to predict the feed pellet distribution pattern across the water surface generated by a pneumatic rotary feed spreader commonly used in sea cage aquaculture. Results from experimental studies have been used to parameterize and validate the model. The model can be applied to evaluate spreader performance under varying operational conditions as well as exploring alternative spreader designs and configurations in order to optimize pellet distribution and feed utilization with respect to fish growth and welfare.
本文提出了一种机器人与外弹道相结合的模型,用于预测海网箱养殖中常用的气动旋转投料机所产生的饲料颗粒在水面上的分布规律。实验研究结果已用于参数化和验证模型。该模型可用于评估不同操作条件下撒料机的性能,并探索可选择的撒料机设计和配置,以优化颗粒分配和饲料利用,从而影响鱼类的生长和福利。
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引用次数: 7
Rolling bearing fault diagnosis techniques - autocorrelation and cepstrum analyses 滚动轴承故障诊断技术。自相关和倒谱分析
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158771
M. E. Morsy, G. Achtenova
The faulty vibration signals generally represent a combination of source and transmission path effects. For example, internal forces in vehicle gearbox which are the source of vibration act on a structure whose properties may be described by a frequency response function between the point of application and the point of measurements. A conventional frequency analysis of a spectrum will have transmission path effects affecting the true source signature and also cannot pinpoint the defects accurately where the problem is associated with more than one sideband and harmonic in case of vehicle gearbox. In the present paper, the transmission path effects are additive and can be separated in autocorrelation and cepstrum analyses, also it gives an accurate detection of periodic structure in a spectrum associated with many harmonics and sidebands as a single component for each family of sidebands without any difficulty in interpreting the sideband structure like in spectrum. The test stand is equipped with two dynamometers; the input dynamometer serves as internal combustion engine, the output dynamometer introduces the load on the flange of output joint shaft. An artificial fault is introduced in vehicle gearbox bearing: an orthogonally placed groove on the inner race with the initial width of 0.6 mm approximately. The results show the effectiveness of proposed analyses in diagnosis and detection of the rolling bearing condition.
故障振动信号通常表现为源和传输路径效应的结合。例如,作为振动源的车辆变速箱的内力作用于结构,其特性可以用应用点和测量点之间的频率响应函数来描述。传统的频谱频率分析方法会产生影响真实信号源特征的传输路径效应,而且在车辆变速箱中,当问题与多个边带和谐波相关时,也无法准确定位缺陷。在本文中,传输路径效应是可加性的,可以在自相关和倒谱分析中分离,并且在与许多谐波和边带相关的频谱中,作为每个边带族的单个分量,它可以准确地检测周期性结构,而不会像在频谱中那样难以解释边带结构。试验台配有两台测功机;输入测功机作为内燃机,输出测功机在输出接头轴法兰上引入载荷。介绍了汽车变速箱轴承的一种人为故障:内圈上有一个初始宽度约为0.6 mm的正交槽。结果表明,所提出的分析方法对滚动轴承状态的诊断和检测是有效的。
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引用次数: 11
Experimental architecture for synchronized recordings of cerebral, muscular and biomechanical data during lower limb activities 在下肢活动中同步记录大脑、肌肉和生物力学数据的实验架构
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158742
E. Iáñez, Á. Costa, E. Ceseracciu, Ester Marquez-Sanchez, Elisa Pinuela-Martin, G. A. Prieto, A. J. D. Ama, Á. Gil-Agudo, M. Reggiani, José Luis Pons Rovira, J. Moreno, J. Azorín
In this paper, an architecture that allows the synchronized recording of cerebral, muscular and biomechanical data during lower limb activities has been designed. The synchronization issue has been addressed. The goal is to analyze the relationship between the different signals, first during simple lower limbs movements, then extending the analysis to gait. Five incomplete spinal cord injury patients and four healthy users participated in experiments to validate the architecture. The users were asked to perform simple movements that involve only one or two joints, particularly knee and ankle. Future studies with the recorded data will address several issues, such as creating neuromusculoskeletal models that relate kinematics data with EMG information, improving the decoding of the angles of the lower limb through EEG signals, or analyzing the coherence between the EEG signals and the EMG information.
本文设计了一种结构,可以在下肢活动期间同步记录大脑、肌肉和生物力学数据。同步问题已得到解决。目标是分析不同信号之间的关系,首先是在简单的下肢运动中,然后将分析扩展到步态。5名不完全性脊髓损伤患者和4名健康用户参与了实验来验证该结构。使用者被要求做一些简单的运动,只涉及一个或两个关节,特别是膝盖和脚踝。未来对记录数据的研究将解决几个问题,如创建神经肌肉骨骼模型,将运动学数据与肌电图信息联系起来,改进通过脑电图信号解码下肢角度,或分析脑电图信号与肌电图信息之间的一致性。
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引用次数: 0
Neural network identification of wastewater treatment plants 污水处理厂的神经网络辨识
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158850
Qi Liu, A. Ibeas, R. Vilanova
Wastewater treatment plants (WWTPs) are highly complex systems. Therefore, it is difficult to predict the key parameters of water quality. Researches show that feed-forward neural networks have strong ability to approximate nonlinear functions. In order to predict the parameters of water quality, this paper proposes a modeling method by using artificial neural networks to predict the effluent quantity, including the concentration of chemical oxygen demand, biological oxygen demand and total suspended solid. The appropriate architecture of ANN models is determined through several steps of training and testing of the model. The performance of the artificial neural network model was assessed through the correlation coefficient (R) and mean square error (MSE). The results demonstrate that the proposed modeling method is effective and useful.
污水处理厂(WWTPs)是高度复杂的系统。因此,很难预测水质的关键参数。研究表明,前馈神经网络具有较强的逼近非线性函数的能力。为了对水质参数进行预测,本文提出了一种利用人工神经网络建模的方法来预测出水量,包括化学需氧量、生物需氧量和总悬浮物浓度。通过对模型的训练和测试,确定了合适的人工神经网络模型体系结构。通过相关系数(R)和均方误差(MSE)来评价人工神经网络模型的性能。结果表明,所提出的建模方法是有效和实用的。
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引用次数: 1
LPV water delivery canal control based on prescribed order models 基于定序模型的LPV输水渠道控制
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158728
D. Caiado, J. M. Lemos, J. M. Igreja
This article addresses the problem of designing an LPV controller for a water delivery canal based on reduced complexity linear models with a priori chosen order. For that sake, by applying a method based on the Laplace transform and the linearization of the Saint-Venant equations, a finite dimensional rational transfer function is obtained for each canal reach. An LPV gain-scheduling controller that relies on H∞ optimization is then designed for local upstream canal control. The scheduling variables are the inlet canal flow and the downstream-reach mean level. The uncertainty bound is computed on the basis of the high frequency error of the frequency response of the model used with respect to the one of the infinite-dimensional model by linearizing the Sain-Venant equations. This approach has the advantage of yielding an LPV controller that relies on a model with specified complexity and to relate model uncertainty to physical canal parameters, allowing operation over an extended envelop of water flow and level equilibria.
本文研究了基于先验选择顺序的低复杂度线性模型的输水渠LPV控制器的设计问题。为此,采用基于拉普拉斯变换和Saint-Venant方程线性化的方法,得到了每个河段的有限维有理传递函数。然后设计了一种基于H∞优化的LPV增益调度控制器,用于局部上游通道控制。调度变量为进水口流量和下游平均水位。不确定性界是通过线性化Sain-Venant方程,根据所用模型的频率响应相对于无限维模型的频率响应的高频误差来计算的。这种方法的优点是产生一个LPV控制器,该控制器依赖于具有特定复杂性的模型,并将模型不确定性与物理运河参数联系起来,允许在水流和水位平衡的扩展包线上运行。
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引用次数: 2
Motion planning in dynamic environments with bounded time temporal logic specifications 具有有限时间时间逻辑规范的动态环境中的运动规划
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158879
Dipankar Maity, J. Baras
In this paper, we consider the problem of robotic motion planning that satisfies some bounded time high level specifications. Although temporal logic can efficiently express high level specifications such as coverage, obstacle avoidance, temporal ordering of tasks etc., it fails to address problems with explicit timing constraints. The inherent limitations of Linear Temporal Logic (LTL) to address problems with explicit timing constraints have been overcome by translating the planning problem from the workspace of the robot to a higher dimensional space called spacetime where the existing LTL semantics and grammar are sufficient to mathematically formulate the bounded time high level specifications. A discrete path will be generated, that will meet the specifications with all timing constraints and, at the same time, it will optimize some cost function. A continuous trajectory satisfying the continuous dynamics of the robot will be generated from the discrete path using proper control laws.
本文研究了满足有界时间高级规范的机器人运动规划问题。虽然时间逻辑可以有效地表达高层次的规范,如覆盖、避障、任务的时间排序等,但它无法解决带有明确时间约束的问题。通过将规划问题从机器人的工作空间转换到称为时空的高维空间,克服了线性时间逻辑(LTL)解决具有明确时间约束问题的固有局限性,其中现有的LTL语义和语法足以在数学上制定有界时间高级规范。将生成一个离散路径,它将满足所有时间约束的规范,同时,它将优化某个成本函数。利用适当的控制律,将离散路径生成满足机器人连续动力学的连续轨迹。
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引用次数: 8
Bond graph model-based fault accommodation in power electronic systems 基于键合图模型的电力电子系统故障调节
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158731
W. Borutzky
The paper presents a bond graph model-based approach to active fault tolerant control (FTC) that makes use of residuals of analytical redundancy relations (ARRs). The latter ones are computed in order to decide whether a fault has occurred. Given a single fault hypothesis can be adopted, an advantage is that the time for isolating a fault among potential fault candidates that contribute to an ARR by means of parameter estimation may be saved and as long as ARR residuals are within their thresholds no input reconstruction at all is needed. It is shown that ARR residuals can be used for estimation of faults that can be isolated. ARR based input reconstruction is demonstrated by application to a buck-converter driven DC motor as a simple example of a switched power electronic system for which an averaged bond graph model is used. Scilab simulation runs confirm analytical results. If a required input cannot be determined analytically, it can be obtained by numerically solving a differential-algebraic equations (DAE) system.
提出了一种利用分析冗余关系残差的基于键图模型的主动容错控制方法。后者的计算是为了确定是否发生了故障。如果采用单故障假设,优点是可以节省通过参数估计在潜在故障候选中隔离故障的时间,只要ARR残差在其阈值内,就完全不需要输入重构。结果表明,ARR残差可用于可隔离故障的估计。基于ARR的输入重构应用于buck变换器驱动的直流电动机,作为一个使用平均键合图模型的开关电力电子系统的简单例子。Scilab仿真运行证实了分析结果。如果所需的输入不能解析确定,则可以通过数值求解微分代数方程(DAE)系统来获得。
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引用次数: 6
The Power-over-Tether system for powering small UAVs: Tethering-line tension control synthesis 为小型无人机供电的缆绳供电系统:缆绳张力控制综合
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158825
Lida Zikou, C. Papachristos, A. Tzes
Within this work, a system for remote powering of small-scale hovering Unmanned Aerial Vehicles is developed, aiming to achieve prolonged-endurance flight times in order to address possible civilian applications with such requirements. To this purpose, the key-concept of a Power-over-Tether system is proposed, with the power bank for the UAV's operation located on the ground, and power transferred via a tethering cable. In order for the UAV to be capable of executing hovering trajectories as freely as possible, a long power cable is wound onto a custom-developed base, which is capable of releasing and retracting it when necessary. The Power-over-Tether system base is developed to operate autonomously, locally sensing when the aerial vehicle requires additional length of free cable to move to its intended goal, or when excessive cable length requires retraction, and performs the respective actions. The complete implementation of the system, both hardware and control-wise is elaborated in detail within the scope of this paper. Additionally, experimental evaluation studies are conducted, demonstrating the potential of the proposed Power-over-Tether system.
在这项工作中,开发了一种小型悬停无人机的远程动力系统,旨在实现长续航飞行时间,以解决可能的民用应用。为此目的,提出了缆绳供电系统的关键概念,用于无人机操作的充电宝位于地面上,并通过缆绳传输电力。为了使无人机能够尽可能自由地执行悬停轨迹,一根长电源线缠绕在定制开发的基座上,该基座能够在必要时释放和收回。Power-over-Tether系统可以自主操作,当飞行器需要额外长度的自由电缆移动到预定目标时,或者当电缆长度过大需要收回时,系统会进行局部感应,并执行相应的操作。本文从硬件和控制两方面详细阐述了该系统的完整实现。此外,还进行了实验评估研究,证明了所提出的绳上供电系统的潜力。
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引用次数: 34
Implementation of Unmanned Ground Vehicle navigation in Wireless Sensor and Actuator Networks 无人地面车辆导航在无线传感器和执行器网络中的实现
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158855
Jianfeng Li, R. Selmic
We present implementation and experimental results of an Unmanned Ground Vehicle (UGV) navigation in a coordinate-free Wireless Sensor and Actuator Network (WSAN) environment. The UGV communicates with the network of sensors and actuators and receives the real-time feedback from the network, which navigates the UGV towards target(s). The control objective is to navigate the UGV towards fixed targets in the network. The Cricket system is used as a platform for the WSAN. The UGV is equipped with an on-board computer and an array of sensor listeners that communicate with the network of actuator beacons. Presented solution and algorithms are distributed where the UGV receives the feedback only from the neighboring sensor and actuator nodes. The results are compared with an optimal navigation path between starting point and the final destination.
提出了一种在无坐标无线传感器和执行器网络(WSAN)环境下无人地面车辆(UGV)导航的实现和实验结果。UGV与传感器和执行器网络通信,并从网络接收实时反馈,引导UGV向目标移动。控制目标是引导UGV向网络中的固定目标移动。Cricket系统被用作WSAN的平台。UGV配备了机载计算机和传感器侦听器阵列,与执行器信标网络通信。所提出的解和算法分布在UGV只接收来自相邻传感器和执行器节点的反馈的情况下。将结果与从起点到终点的最优导航路径进行了比较。
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引用次数: 4
Electric vehicle trip planning integrating range constraints and charging facilities 综合里程约束和充电设施的电动汽车行程规划
Pub Date : 2015-06-16 DOI: 10.1109/MED.2015.7158793
Raffaele Gambuti, S. Canale, F. Facchinei, Andrea Lanna, A. Giorgio
This paper presents a strategy for multi-modal trip planning integrating the management of fully electric vehicle range and charging services along the trip. The network graph is modelled as the superposition of layers representing different transportation means and charging infrastructure, putting in evidence the interaction between the transportation and electricity distribution grids. The presence of energy constraints on the network nodes implies to formalize the trip planning problem as a resource constrained shortest path problem, and solve it through an ad-hoc decomposition strategy. The proposed approach is validated through the simulation of realistic test cases, showing its effectiveness and potential in satisfying complex user preferences, mitigating drivers perception about limited vehicle range and availability of charging infrastructure, smoothing the impact of massive fully electric vehicle charging on distribution grids.
本文提出了一种集全电动汽车里程管理和充电服务管理于一体的多模式出行规划策略。网络图被建模为代表不同交通工具和充电基础设施的层的叠加,表明交通和配电网之间的相互作用。由于网络节点上存在能量约束,需要将出行规划问题形式化为资源约束下的最短路径问题,并采用自组织分解策略进行求解。通过对实际测试用例的仿真验证了该方法的有效性和潜力,显示了其在满足复杂用户偏好,减轻驾驶员对有限的车辆范围和充电基础设施可用性的感知,平滑大规模全电动汽车充电对配电网的影响方面的有效性和潜力。
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引用次数: 11
期刊
2015 23rd Mediterranean Conference on Control and Automation (MED)
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