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2018 IEEE Conference on Control Technology and Applications (CCTA)最新文献

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Robust Transfer Vehicle Swarm for Unreliable Production Facility 不可靠生产设施的鲁棒转移车辆群
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511481
Kumiko Tadano, Y. Maeno, Takehiro Itou, Hisaya Wakayama, Masatsugu Ogawa
We propose a dynamic rebalancing control algorithm for the swarm of transfer vehicles to improve the throughput of an unreliable production facility. The facility has unpredictable frequent changes in production capacity, where the optimal transfer task schedule of the swarm for a particular set of transfer requests may become obsolete within a short time period. Thus the proposed algorithm does not search for the optimal schedule but adapts the transfer behaviors of the swarm to arbitrary changes in production by rebalancing the stock levels. Through numerical experiments, we find that the throughput achieved by the proposed algorithm is 15% larger than that by the conventional manufacturing industry practice, and the necessary buffer capacity for the proposed algorithm is about 50% smaller than that for the conventional practice.
为了提高不可靠生产设备的吞吐量,提出了一种转运车辆群的动态再平衡控制算法。设施的生产能力有不可预测的频繁变化,对于一组特定的转移请求,群的最优转移任务计划可能在短时间内过时。因此,该算法不是寻找最优调度,而是通过重新平衡库存水平来调整群体的转移行为以适应生产的任意变化。通过数值实验,我们发现该算法的吞吐量比传统制造业实践提高了15%,所需的缓冲容量比传统制造业实践减少了50%左右。
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引用次数: 3
Power Consumption Model of a Circulating Wet Runner Pump 循环湿流道泵的功耗模型
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511571
B. Meier, M. Oettmeier, J. Fiedler, T. Bertram
In this paper the power consumption model of a circulating wet runner pump is presented. Such a model provides several advantages since it can be used for example to detect issues during operation of the pump. For instance, dry running which might damage the bearings of the pump can be detected based on deviations between the measured power and the power predicted by the model. Furthermore, based on the power model the volume flow which passes the pump can be determined without a volume flow sensor and thus save costs. As the overall power consumption of the pump is influenced by different components such as electrical and friction losses, models of the individual components which have an influence on the power consumption are presented. Then, the components are combined to one overall power consumption model and the model parameters are identified by measurements. Finally, the model is validated by comparison of the dynamic behaviour of the model with the actual measured power consumption.
本文建立了循环湿流道泵的功率消耗模型。这种模型提供了几个优点,因为它可以用于检测泵运行期间的问题。例如,可以根据测量功率与模型预测功率之间的偏差来检测可能损坏泵轴承的干运转。此外,在功率模型的基础上,无需体积流量传感器即可确定通过泵的体积流量,从而节省了成本。由于泵的总功耗受到电损耗和摩擦损耗等不同部件的影响,因此给出了影响功耗的各个部件的模型。然后,将组件组合成一个整体功耗模型,并通过测量确定模型参数。最后,通过将模型的动态特性与实际测量的功耗进行比较,对模型进行了验证。
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引用次数: 0
Nonlinear Controller and Estimator Design for Multi-Pump Systems 多泵系统的非线性控制器与估计器设计
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511556
S. Caba, M. Lepper, Steven Liu
In this paper the nonlinear dynamics of a pressure boosting system consisting of multiple parallel centrifugal pumps, a pressure accumulator and a connected load are modeled. The modeling focus is on detailed component descriptions and their dynamical coupling, mainly introduced by the parallel connected pumps. Based on the model, a controller based on Input-Output Linearization is designed to decouple the outputs. Furthermore, an Extended Kalman Filter including the hydraulic dynamics is implemented to overcome the necessity of flow and pressure measurements. Therefore, the combined control scheme only interacts with the variable-speed drive. The functionality of the proposed control algorithm is proved by a test bench implementation.
本文建立了由多个并联离心泵、压力蓄能器和连接负载组成的升压系统的非线性动力学模型。建模的重点是部件的详细描述及其动态耦合,主要通过并联泵来介绍。在此基础上,设计了基于输入输出线性化的控制器,实现了输出的解耦。此外,为了克服流量和压力测量的需要,实现了包含液压动力学的扩展卡尔曼滤波。因此,组合控制方案仅与变速驱动器相互作用。通过实验验证了该控制算法的有效性。
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引用次数: 0
Multiple Model Adaptive Control of Valve Flow Using Event-Triggered Switching 基于事件触发开关的阀流量多模型自适应控制
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511416
Georgios Lyrnpcropoulos, M. Borrello, Nikoletta Margari
Valve flow control has always attracted research due to the wide breadth of applications it offers. Its use in advanced applications, such as air and oxygen flow control for neonatal ventilation has demanded higher specifications for accuracy and performance. In this paper, we propose a model reference adaptive control scheme for valve flow control of ventilators which utilizes multiple models that correspond to different operating points of the valve. Switching between models operates according to level of flow using a smoothing mechanism. In addition, a inverse hysteresis model is used to attenuate the hysteresis effect. The scheme has been implemented and tested on multiple valves and using several accuracy and stress tests, providing excellent results.
由于其广泛的应用,阀门流量控制一直吸引着人们的研究。它在先进应用中的使用,如新生儿通气的空气和氧气流量控制,对准确性和性能要求更高。本文提出了一种通风机阀门流量控制的模型参考自适应控制方案,该方案利用多个模型来对应阀门的不同工作点。根据使用平滑机制的流量水平在模型之间切换。此外,还采用了逆迟滞模型来减弱迟滞效应。该方案已在多个阀门上实施和测试,并进行了多次精度和压力测试,取得了良好的效果。
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引用次数: 2
Charge Air and Fuel Gas Pressure Control on a HiL-System for the Development of Transient Large Bore Gas Engines 瞬态大口径燃气发动机开发中hil系统的增压空气和燃油压力控制
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511425
Klemens Kranawetter, Richard Seeber, P. Mayr, G. Pirker, R. Bauer, M. Horn
This paper presents an approach for developing transient strategies for multi-cylinder gas engines using only a single cylinder in a hardware-in-the-loop setup. Engine components that are physically not present are replaced by a real-time model. The model generates pressure and speed trajectories, which are applied to the single-cylinder engine to ensure that its behavior is identical to its operation as part of the multicylinder engine. Design and analysis of two of the controllers used for that purpose are discussed. For the control of the charge air pressure, a concept based on nonlinear decoupling and a strategy maximizing the actuator range available for disturbance rejection is presented. To control the fuel gas pressure, a linear plant model is obtained and a controller motivated by stability conditions is proposed.
本文提出了一种在硬件在环装置中仅使用单缸的多缸燃气发动机瞬态策略的开发方法。物理上不存在的引擎组件被实时模型所取代。该模型生成压力和速度轨迹,并将其应用于单缸发动机,以确保其行为与作为多缸发动机一部分的操作相同。讨论了用于该目的的两个控制器的设计和分析。对于充气压力的控制,提出了基于非线性解耦的概念和最大执行器抗扰范围的控制策略。为了控制燃气压力,建立了线性对象模型,并提出了由稳定条件驱动的控制器。
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引用次数: 0
Understandings of the Incremental Backstepping Control Through Theoretical Analysis Under the Model Uncertainties 模型不确定性下增量反演控制的理论分析
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511479
Byoung-Ju Jeon, Min-guk Seo, Hyo-Sang Shin, A. Tsourdos
In this paper, theoretical analysis on the incremental backstepping control is suggested especially under the existence of model uncertainties. This algorithm is proposed in the previous studies by modifying the backstepping method to reduce model dependency. Because this method is a type of nonlinear control and the model uncertainties are assumed to be considered, it is difficult to have theoretical analysis, which causes lack of understandings about this algorithm. Therefore, this paper suggests closed-loop analysis with simplified dynamics under the model uncertainty. Transfer function is derived and poles, stability condition, steady state error, and settling time are presented. In addition, the effects of model uncertainties and gains are identified through analysis. Proposed analysis is meaningful in terms of establishing critical understandings about the algorithm, even though the simplified dynamics is applied for analysis purpose.
本文特别对存在模型不确定性的情况下的增量反演控制进行了理论分析。该算法是在前人的研究中提出的,通过对反演方法的改进来降低模型依赖性。由于该方法是一种非线性控制,并且假定考虑了模型的不确定性,因此难以进行理论分析,导致对该算法的认识不足。因此,本文提出了模型不确定性下简化动力学的闭环分析方法。推导了传递函数,给出了极点、稳定条件、稳态误差和稳定时间。此外,通过分析确定了模型不确定性和增益的影响。提出的分析在建立对算法的批判性理解方面是有意义的,即使简化的动力学应用于分析目的。
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引用次数: 7
Unsupervised Fault Detection of Reefer Containers: A Moments-Based SDP Approach 冷藏箱无监督故障检测:一种基于矩的SDP方法
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511386
Rasmus L. Christensen, Kresten K. Sørensen, R. Wisniewski, M. Sznaier
Refrigeration containers are being used like never before. The growing desire for exotic goods in much of the western world, puts an ever growing strain on the refrigeration systems that are used for transport. During one trip, a refrigeration container might experience temperatures ranging from −25 to 40 degrees celcius, whilst being tossed around on the deck of the freighter. This work, develops a method to detect errors aboard these refrigeration containers, that can be used to lower the maintenance costs. Furthermore, a prediction of the “time-to-failure” is presented, which enables the refrigeration container owners to decide whether or not a refrigeration container can endure a trip.
冷藏容器的使用前所未有。在西方世界的大部分地区,人们对异国商品的需求日益增长,这给用于运输的制冷系统带来了越来越大的压力。在一次航行中,冷藏集装箱在货轮甲板上颠簸时,可能会经历零下25到40摄氏度的温度。这项工作,开发了一种方法来检测这些冷藏容器上的错误,可以用来降低维护成本。此外,提出了“故障时间”的预测,使冷藏集装箱所有者能够决定冷藏集装箱是否可以承受一次行程。
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引用次数: 1
Robust and Secure UAV Navigation Using GNSS, Phased-Array Radio System and Inertial Sensor Fusion 基于GNSS、相控阵无线电系统和惯性传感器融合的鲁棒安全无人机导航
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511354
S. Albrektsen, T. Bryne, T. Johansen
Positioning using global navigation satellite systems (GNSS) has for several years been the de facto method for long-range navigation of ground, marine and aerial vehicles. With global coverage, high accuracy, and lightweight receivers, GNSS positioning has several desirable properties, especially on unmanned aerial systems (UAVs) with limited sensor payload capacity. However, due to the low signal-to-noise ratio (SNR) of the GNSS signals the navigation signal is prone to malicious attacks, such as jammig or spoofing. In the last few years, alternative solutions for absolute positioning of unmanned vehicles have emerged. One example of this is positioning using a phased array radio systems (PARS). PARS equipment has the potential to provide position measurements that are accurate within tens of meters. The PARS solutions typically have significantly higher SNR and strongly encrypted messages, which makes them robust towards malicious attacks. This paper presents a method for an inertial navigation system which is aided using redundant position sensors. The high-accuracy RTK solution is the primary position reference, when it is available. The PARS is used to detect if GNSS solution is being spoofed (or jammed), and is used as the fall-back positioning solution.
多年来,利用全球导航卫星系统(GNSS)进行定位一直是地面、海上和空中交通工具远程导航的实际方法。凭借全球覆盖、高精度和轻型接收器,GNSS定位具有几个理想的特性,特别是在传感器有效载荷能力有限的无人机系统(uav)上。然而,由于GNSS信号的信噪比较低,导航信号容易受到干扰或欺骗等恶意攻击。在过去的几年中,出现了无人驾驶车辆绝对定位的替代解决方案。其中一个例子是使用相控阵无线电系统(PARS)进行定位。PARS设备有可能提供精确到几十米的位置测量。PARS解决方案通常具有高得多的信噪比和强加密的消息,这使得它们对恶意攻击非常健壮。提出了一种利用冗余位置传感器辅助惯性导航系统的方法。高精度RTK解决方案是主要的位置参考,当它可用时。PARS用于检测GNSS解决方案是否被欺骗(或干扰),并用作后撤定位解决方案。
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引用次数: 10
A Hybrid Control Algorithm for Object Grasping Using Multiple Agents 基于多智能体的物体抓取混合控制算法
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511357
Hyejin Han, R. Sanfelice
This paper presents a hybrid control approach for grasping objects by multiple agents without rebounding. When multiple agents grasp an object cooperatively, the motion of the agents is constrained due to the geometrical and frictional conditions at the contact points. In this paper, each agent acting on an object of interest is controlled by a hybrid controller which includes a position controller, a force controller, and some logic to coordinate grasping. The proposed approach provides a method to steer the agents to grasping positions on an object along appropriate directions and to asymptotically exert stabilizing forces at each contact point. The stability properties induced by the hybrid controller can be asserted using Lyapunov stability tools for hybrid systems. The set of allowed initial conditions guaranteed is characterized using sublevel sets of Lyapunov functions. The proposed algorithm is verified in simulations.
提出了一种多智能体无回弹抓取物体的混合控制方法。当多个智能体协同抓取一个物体时,由于接触点的几何条件和摩擦条件,智能体的运动受到约束。在本文中,每个作用于感兴趣对象的智能体由一个混合控制器控制,该控制器包括位置控制器、力控制器和一些协调抓取的逻辑。所提出的方法提供了一种方法来引导智能体沿着适当的方向抓取物体上的位置,并在每个接触点渐近地施加稳定力。利用Lyapunov稳定性工具可以断言混合控制器引起的稳定性。利用李雅普诺夫函数的子水平集对保证的允许初始条件集进行了表征。仿真结果验证了该算法的有效性。
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引用次数: 2
System State Variable Discovery Counter Example 系统状态变量发现计数器示例
Pub Date : 2018-08-01 DOI: 10.1109/CCTA.2018.8511379
Brad Thompson
The stability of an existing non-linear system model of a Dubins vehicle is investigated. The discovery of the system state variables and their dynamics from simulation data is attempted, using machine learning (ML) techniques. The results show that there is at least one case in which system state-space discovery through a ML approach is unsuccessful. Technology which relies upon state abstraction from inferential learning techniques may be vulnerable to failure if the cases are not well understood.
研究了已有的Dubins车辆非线性系统模型的稳定性。尝试使用机器学习(ML)技术从仿真数据中发现系统状态变量及其动态。结果表明,至少有一种情况下,通过ML方法发现系统状态空间是不成功的。如果不能很好地理解案例,依赖于从推理学习技术中提取状态的技术可能容易失败。
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引用次数: 1
期刊
2018 IEEE Conference on Control Technology and Applications (CCTA)
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