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2014 IEEE Conference on Control Applications (CCA)最新文献

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Synchronizing networks of heterogeneous linear systems via input-output decoupling 基于输入输出解耦的异构线性系统同步网络
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981419
Saman Khodaverdian, Moritz Schneider, J. Adamy
In this article, a new approach for solving the synchronization problem for networks of heterogeneous linear systems is presented. The main idea is to decouple the states to be synchronized for every agent from the rest of the system dynamics, leading to an input-output decoupling control law. We present a decentralized control strategy for homogenizing the transient behaviors of the agents. Further, for every agent the same reference signal, which can be generated by identical exosystems, is applied leading to synchronization. A numerical example illustrates the efficiency of the design procedure.
本文提出了一种解决异构线性系统网络同步问题的新方法。其主要思想是将每个智能体要同步的状态与系统动力学的其余部分解耦,从而得到一个输入-输出解耦控制律。提出了一种分散控制策略来均匀化智能体的瞬态行为。此外,对于每个代理,可以由相同的外部系统产生相同的参考信号,应用导致同步。数值算例说明了设计过程的有效性。
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引用次数: 3
On supervisory control of the Main Southern Channel 论南主要航道的监管
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981623
Yuping Li
Supervisory control of the Main Southern Channel is considered based on the technique of model predictive control. The main objective is to minimize the water losses through the channel, while regulating the water-levels in the channel to be within the operation bounds, and satisfying water-demands at the downstream irrigation area as well.
研究了基于模型预测控制技术的南岸主航道的监控问题。主要目标是尽量减少通过渠道的水分损失,同时将渠道内的水位调节在运行范围内,同时满足下游灌区的用水需求。
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引用次数: 0
Cooling control restraining effects due to ICT equipment utilization of disturbance based on model predictive control for modular data center 基于模型预测控制的模块化数据中心ICT设备使用冷却控制对扰动的抑制作用
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981349
M. Ogawa, Hiroshi Endo, Hiroyuki Fukuda, H. Kodama, Toshio Sugimoto, H. Soneda, Masao Kondo
This paper proposes a cooling control method that reduces spikes in CPU temperature that occur due to fluctuation in the utilization of information communication technology (ICT) equipment based on model predictive control (MPC) for a modular datacenter. To cope with the fluctuations, the proposed method not only considers the server power consumption using a prediction model, but also switches between an MPC controller and a necessary-air-volume controller based on the rate at which server power consumption rises. The MPC controller controls the CPU temperature in order to do three things simultaneously: avoid throttling the operation of the CPU, reduce as much as possible the power consumed by data center cooling fans, and adjust for the effects of fluctuations. The necessary-air-volume controller calculates the command value of the revolution speed of the cooling fans to supply the air volume required during maximum CPU utilization. The results of our control simulation show that the proposed control method can drastically reduce spikes in CPU temperature. The proposed method provided energy savings of more than 37.6% compared to the conventional control method under conditions where the CPU utilization is 80% and the fresh air temperature is 20°C.
针对模块化数据中心,提出了一种基于模型预测控制(MPC)的冷却控制方法,以降低由于信息通信技术(ICT)设备利用率波动而导致的CPU温度峰值。为了应对波动,提出的方法不仅使用预测模型考虑服务器功耗,而且根据服务器功耗的上升速率在MPC控制器和必要风量控制器之间切换。MPC控制器控制CPU温度是为了同时做三件事:避免抑制CPU的运行,尽可能减少数据中心冷却风扇消耗的功率,并调整波动的影响。必要风量控制器计算冷却风扇转速的命令值,以在最大CPU利用率期间提供所需的风量。控制仿真结果表明,所提出的控制方法可以显著降低CPU温度峰值。在CPU利用率为80%,新风温度为20℃的条件下,与传统控制方法相比,该方法节能37.6%以上。
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引用次数: 6
Attitude tracking control of a quadrotor based on absolutely continuous fractional integral sliding modes 基于绝对连续分数阶积分滑模的四旋翼飞行器姿态跟踪控制
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981425
A. Muñoz‐Vázquez, Vicente Parra‐Vega, A. Sánchez‐Orta, O. García, Carlos Izaguirre
The model-free sliding mode control based on fractional order sliding surface is built upon: i) An absolutely continuous control structure that does not require the exact dynamic model to induce a fractional sliding motion in finite time, and ii) A methodology to design fractional references with a clear counterpart in the frequency domain is proposed. This in order to improve the system response, in particular the transient period, and to generate a high-performance during the sliding motion. Numerical simulations support the proposal and illustrates the closed-loop system, which provides a better insight of the proposed scheme.
基于分数阶滑动曲面的无模型滑模控制建立在:i)一个绝对连续的控制结构,它不需要精确的动态模型来诱导有限时间内的分数阶滑动运动;ii)提出了一种在频域中具有明确对应的分数阶参考的设计方法。这是为了提高系统的响应,特别是瞬态期间,并产生一个高性能的滑动运动。数值模拟支持了该方案,并举例说明了闭环系统,从而更好地了解了所提出的方案。
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引用次数: 21
Modeling for control design of a multi-reach water canal 多段式水渠控制设计建模
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981534
D. Caiado, J. M. Lemos, J. M. Igreja
This article addresses the problem of obtaining reduced complexity models of multi-reach water delivery canals that are suitable for robust and linear parameter varying (LPV) control design. In the first stage, by applying a method known from the literature, a finite dimensional rational transfer function of a priori defined order is obtained for each canal reach by linearizing the Saint-Venant equations. Then, by using block diagrams algebra, these different models are combined with linearized gate models in order to obtain the overall canal model. In what concerns the control design objectives, this approach has the advantages of providing a model with prescribed order and to quantify the high frequency uncertainty due to model approximation. A case study with a 3-reach canal is presented, and the resulting model is compared with experimental data.
本文研究了多河段输水渠道的简化模型,该模型适用于鲁棒和线性参数变化控制设计。在第一阶段,通过应用文献中已知的方法,通过对Saint-Venant方程进行线性化,获得每个运河河段的先验定义阶的有限维有理传递函数。然后,利用方框图代数,将这些不同的模型与线性化的闸门模型相结合,得到渠体整体模型。在控制设计目标方面,该方法具有提供具有规定阶的模型和量化由于模型近似引起的高频不确定性的优点。以某三河段水渠为例,将模型与实验数据进行了比较。
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引用次数: 3
Rotor state feedback in helicopter flight control: Robustness and fault tolerance 旋翼状态反馈在直升机飞行控制中的鲁棒性和容错性
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981387
S. Panza, M. Lovera
Helicopter flight control law design including rotor state feedback is considered and an approach based on structured H∞ control, capable of guaranteeing stability and performance robustness, is proposed. The framework also encompasses fault tolerance with respect to failures of the rotor state sensors. Simulation results comparing the proposed approach to results from the literature are presented and discussed.
考虑旋翼状态反馈的直升机飞控律设计,提出了一种既能保证稳定性又能保证性能鲁棒性的结构化H∞控制方法。该框架还包括对转子状态传感器故障的容错。给出了仿真结果,并与文献结果进行了比较。
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引用次数: 14
Sensitivity-based approaches for an efficient design of learning-type controllers of a flexible high-speed rack feeder system 基于灵敏度的柔性高速机架给料系统学习型控制器的有效设计
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981585
A. Rauh, Ole Krägenbring, Lukas Pröhl, H. Aschemann
In previous work, it has been shown that sensitivity-based procedures can be employed effectively for the design of predictive control strategies, for the implementation of state estimators as well as for the offline and online identification of system parameters. These procedures were used, on the one hand, for control of dynamic processes which perform a certain task only once and, on the other hand, also for the control of systems that are operated in a repetitive manner. The latter class of applications is hence closely related to the design of iterative learning control strategies. A common feature of all sensitivity-based approaches implemented so far by the authors is that the control signals are piecewise constant on an equidistant time discretization mesh. However, this assumption may make the computation of differential sensitivities inefficient if long control horizons are taken into account for learning-type controllers of processes with a fast dynamics. Therefore, this assumption is removed in the current paper, both by a control parameterization using polynomial ansatz functions and by a computation of optimal switching points for piecewise constant control signals. The adaptive discretization scheme of the latter approach allows for obeying predefined performance constraints with a minimum memory demand. These procedures are demonstrated by simulations for a prototypical high-speed rack feeder system.
在以前的工作中,已经表明基于灵敏度的程序可以有效地用于预测控制策略的设计,状态估计器的实现以及系统参数的离线和在线识别。这些程序一方面用于控制只执行一次某项任务的动态过程,另一方面也用于控制以重复方式操作的系统。后一类应用因此与迭代学习控制策略的设计密切相关。到目前为止,作者实现的所有基于灵敏度的方法的一个共同特征是控制信号在等距时间离散网格上是分段常数。然而,对于具有快速动态过程的学习型控制器,如果考虑较长的控制范围,则这种假设可能使微分灵敏度的计算效率低下。因此,本文通过使用多项式ansatz函数的控制参数化和分段恒定控制信号的最优开关点的计算,消除了这一假设。后一种方法的自适应离散化方案允许以最小的内存需求遵守预定义的性能约束。通过高速齿条给料系统的仿真验证了上述方法的有效性。
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引用次数: 2
Robust H∞ force control of a solenoid actuator using experimental data and finite element method 基于实验数据和有限元法的电磁执行器鲁棒H∞力控制
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981487
R. Tahmasebi, H. Alizadeh, Saman Rahimi, B. Boulet
In this paper, the robust force control of a solenoid actuator is studied. Such control problem is of interest in the study of gear shifting control in electric vehicles (EVs) equipped with an automated manual transmission (AMT). Experimental system identification together with the finite element method (FEM) is the approach considered in this paper to model the dynamic behavior of the solenoid actuator as well as the system uncertainties. Using experimental system identification, a dynamic model of the actuator is obtained and a nonlinear algebraic model of the electromagnetic force versus current and air gap is proposed. Using the properties of the magnetic materials and the geometry of the actuator, an FEM analysis is performed using Magnet® - Infolytica software - to obtain the dynamics of the nominal system and verify the system identification result. Considering the inherent uncertainty of the physical parameter involved in the actuation system as well as the measurement errors, an uncertainty analysis is performed to obtain the dynamic uncertainty model of the solenoid system. Moreover, considering the application of such actuator in the gear shifting process, the closed-loop performance objectives are defined with respect to the desired gear shifting quality. Knowing both the nominal system model and the uncertainty model, an H∞ robust controller is designed. The performance of the resulting robust closed-loop control system is examined for the nominal and perturbed systems and is shown to satisfy the objectives.
本文研究了电磁执行器的鲁棒力控制问题。这种控制问题是研究手动自动变速器电动汽车换挡控制的一个重要问题。实验系统辨识与有限元法(FEM)是本文考虑的电磁作动器动态行为和系统不确定性建模的方法。通过实验系统辨识,建立了执行器的动力学模型,并建立了电磁力与电流和气隙的非线性代数模型。利用磁性材料的特性和作动器的几何形状,利用Magnet®- Infolytica软件进行有限元分析,获得公称系统的动力学特性,并验证系统辨识结果。考虑驱动系统所涉及的物理参数的固有不确定性以及测量误差,对电磁阀系统进行不确定性分析,得到电磁阀系统的动态不确定性模型。考虑到该驱动器在换挡过程中的应用,针对期望的换挡质量定义了闭环性能目标。同时了解系统的标称模型和不确定性模型,设计了H∞鲁棒控制器。对所得到的鲁棒闭环控制系统的性能进行了标称和摄动系统的检验,并证明其满足目标。
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引用次数: 13
Robust control design of semilinear parabolic partial differential systems: A fuzzy approach 半线性抛物型偏微分系统的鲁棒控制设计:一种模糊方法
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981459
O. Gaye, O. Pagès, A. Hajjaji
This communication deals with the robust H∞ stabilization of the semilinear partial differential system using Lyapunov theory. The time derivative of this Lyapunov function can be made strictly negative definite by an appropriate choice of controls. In general, it is difficult to control partial differential systems. In order to simplify the design procedure of control law, a fuzzy partial differential system based on fuzzy interpolation approach is proposed. Based on this distributed model, the distributed robust control design is proposed to attenuate disturbances via solving linear matrix inequalities (LMIs). Finally, numerical results are presented and discussed to illustrate the effectiveness of the proposed approach.
利用李雅普诺夫理论研究半线性偏微分系统的鲁棒H∞镇定问题。该李雅普诺夫函数的时间导数可以通过适当选择控制项而严格地负定。一般来说,控制偏微分系统是困难的。为了简化控制律的设计过程,提出了一种基于模糊插值方法的模糊偏微分系统。在此基础上,提出了通过求解线性矩阵不等式(lmi)来衰减干扰的分布式鲁棒控制设计。最后给出了数值结果并进行了讨论,以说明所提方法的有效性。
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引用次数: 0
A prediction-based optimal gain selection in RISE feedback control for hard disk drive 硬盘驱动器RISE反馈控制中基于预测的最优增益选择
Pub Date : 2014-12-11 DOI: 10.1109/CCA.2014.6981615
M. Taktak-Meziou, A. Chemori, J. Ghommam, N. Derbel
This paper presents a prediction-based optimal gain selection in Robust Integral Sign of the Error (RISE) based Neural Network (NN) approach. Previous research has shown that combining a feedforward term with a feedback control element yields an asymptotically stable closed-loop system. The proposed approach adds a prediction-based optimal technique which minimizes a quadratic performance index to calculate an optimal feedback gain. The resulting novel controller, called P-RISE-NN, is applied for a track following problem of a Hard-Disc-Drive servo-system. Simulation studies are used to show the efficiency of the proposed control scheme and its robustness against external disturbances and parametric uncertainties in the system. The authors believe that the proposed control solution combining RISE with a predictive control approach has never been conducted before.
本文提出了一种基于预测的鲁棒积分误差(RISE)神经网络的最优增益选择方法。以往的研究表明,将前馈项与反馈控制元件相结合可以得到一个渐近稳定的闭环系统。该方法增加了一种基于预测的优化技术,该技术将二次性能指标最小化以计算最优反馈增益。将所得到的新型控制器P-RISE-NN应用于硬盘驱动伺服系统的轨迹跟踪问题。仿真研究表明了所提控制方案的有效性以及对系统外部干扰和参数不确定性的鲁棒性。作者认为,提出的将RISE与预测控制方法相结合的控制方案以前从未进行过。
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引用次数: 5
期刊
2014 IEEE Conference on Control Applications (CCA)
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