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2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)最新文献

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On the application of Laplace transform to fractional differential-algebraic systems with delays 拉普拉斯变换在分数阶时滞微分代数系统中的应用
Z. Zaczkiewicz
The paper present new results of application the Laplace transform to fractional differential-algebraic systems with delays (DAD). Exponential evaluation of solutions to DAD systems with one delay is shown.
本文给出了拉普拉斯变换在分数阶时滞微分代数系统中的新结果。给出了一时滞DAD系统解的指数评价。
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引用次数: 0
Relating phase-field and perimeter based structural optimization of variational inequalities 基于相场和周长的变分不等式结构优化
A. Myslinski, Konrad Koniarski
The paper is concerned with the analytical aspects of the structural optimization problems for elastic bodies in the unilateral contact with a given friction. The contact phenomenon is governed by the second order elliptic variational inequality. The aim of the topology optimization problem is to find such material density distribution function in a domain occupied by the body to minimize its normal contact stress. The original optimization problem is regularized in terms of the phase field model using Ginzburg-Landau free energy functional rather than the domain perimeter functional. In this model the width of the interfaces between the domain material phases is dependent on a small parameter. Therefore the goal of this paper is to investigate the relation between the phase field and the perimeter functionals regularized optimization problems as the width interface parameter tends to zero. Using the shape sensitivity approach the first order necessary optimality conditions for these two optimization problems are formulated. As the interface width parameter tends to zero the convergence of the first order necessary optimality conditions for the phase field regularized optimization problem to the first order necessary optimality conditions for the perimeter regularized optimization problem obtained in the framework of shape calculus is shown. Details of numerical implementation as well as numerical examples are provided and discussed.
本文研究了给定摩擦条件下单侧接触弹性体结构优化问题的解析问题。接触现象由二阶椭圆变分不等式控制。拓扑优化问题的目的是在物体所占据的区域内找到这样的材料密度分布函数,使其法向接触应力最小。利用金兹堡-朗道自由能泛函而不是域周长泛函,将原优化问题正则化为相场模型。在该模型中,区域材料相之间的界面宽度取决于一个小参数。因此,本文的目的是研究宽度界面参数趋于零时相场与周长泛函的关系。利用形状灵敏度法,给出了这两个优化问题的一阶必要最优性条件。当界面宽度参数趋于零时,证明了在形状微积分框架下得到的相场正则化优化问题的一阶必要最优性条件收敛到周长正则化优化问题的一阶必要最优性条件。给出并讨论了数值实现的细节和数值算例。
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引用次数: 0
Desiginig of active vibration control system for smart structure 2-D with non-collocated piezo-elements 二维非配位压电元件智能结构振动主动控制系统设计
A. Koszewnik
To design vibration control system for flexible structures their mathematical model should be reduced. In the paper we consider the influence of the model reduction on the dynamics of the real closed-loop system. A SFSF smart plate as a TITO system is an object of consideration since we are able to formulate the exact analytical model of such structure. As a result of reduction the model with low frequency resonances is usually separated from the high frequency dynamics because high frequency part of the model is naturally strong damped. In order to estimate dynamical system for control purposes in the paper we applied a few orthogonal methods such as: modal and Schur decompositions. As it is shown all methods well calculate resonances frequencies but generate different anti-resonances frequencies. From control strategy in point of view of the flexible structures these anti-resonances have significantly influence on the stability and dynamics of the closed-loop systems.
为了设计柔性结构的振动控制系统,需要对其数学模型进行简化。本文考虑了模型约简对实际闭环系统动力学特性的影响。SFSF智能板作为TITO系统是一个考虑的对象,因为我们能够制定这种结构的精确解析模型。由于简化的结果,低频共振模型通常与高频动力学分离,因为模型的高频部分自然是强阻尼的。为了对动力系统进行估计以达到控制的目的,本文采用了模态分解和舒尔分解等正交方法。结果表明,所有方法都能很好地计算共振频率,但会产生不同的反共振频率。从柔性结构的控制策略来看,这些反谐振对闭环系统的稳定性和动力学特性有显著的影响。
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引用次数: 1
Extended LMI characterization of some control problems for linear repetitive processes 线性重复过程控制问题的扩展LMI表征
W. Paszke, Marcin Boski, E. Rogers
In this paper the projection lemma is used as a basis to develop extended linear matrix inequality characterizations of the stability and control problems for both differential and discrete linear repetitive processes. The new results provide novel conditions for output feedback control. Also, the extension to uncertain processes is derived. This new approach enables differential and discrete dynamics to be analysed in unified manner. A numerical example is also given.
本文以投影引理为基础,建立了微分和离散线性重复过程的稳定性和控制问题的扩展线性矩阵不等式表征。这些结果为输出反馈控制提供了新的条件。并对不确定过程进行了推广。这种新方法使微分动力学和离散动力学能够统一分析。并给出了数值算例。
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引用次数: 0
Robust fractional order controller for a linear active magnetic bearing system 线性主动磁轴承系统的鲁棒分数阶控制器
T. Nartowicz, E. Pawłuszewicz, A. Mystkowski
In the paper the fractional order FID feedback control loop is designed in order to stabilize the unstable linear current-controller active magnetic bearing (AMB) system. The review for stability analysis of fractional continuous-time linear systems described by the transfer functions is given. The specified fractional order controllers, obtained for desired different phase margins, are verified by means of numerical simulations. The robust stability of fractional order PID feedback-loop is shown due to AMB parametric uncertainty.
为了稳定线性电流控制器有源磁轴承系统,设计了分数阶FID反馈控制回路。本文综述了用传递函数描述的分数阶连续时间线性系统的稳定性分析。通过数值仿真验证了在不同相位裕度条件下所得到的分数阶控制器。由于AMB参数的不确定性,分数阶PID反馈回路具有鲁棒稳定性。
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引用次数: 5
Damping of resonance peaks using adaptive notch filters in gearless servo drives 无齿轮伺服驱动中自适应陷波滤波器对共振峰的阻尼
Mario Aldag, J. Horn
The performance of a gearless servo system is significantly degraded by mechanical resonances present in the system. For applications on a machine the parameters of the mechanical resonances differ from workpiece to workpiece and thus cannot be calculated a priori. Adaptive notch filters can dampen these unknown resonances online. In this paper an online mechanical resonance frequency identification algorithm and online notch filter depth tuning algorithm are presented which will be processed in a closed loop control system with a control frequency of 32 kHz in software. The performance of these algorithms is shown on a test axis and on a round table with a direct torque motor on a machine. It will furthermore be shown that multiple resonances present on the machine can be damped subsequently and the controller gains can be increased to improve the overall tracking performance.
无齿轮伺服系统的性能受到系统中存在的机械共振的显著影响。对于机器上的应用,机械共振的参数因工件而异,因此不能先验地计算。自适应陷波滤波器可以在线抑制这些未知的共振。本文提出了一种在线机械共振频率识别算法和在线陷波滤波器深度整定算法,该算法将在一个控制频率为32khz的闭环控制系统中进行软件处理。这些算法的性能在一台机器上的一个测试轴和一个带有直接转矩电机的圆桌上显示。进一步表明,随后可以抑制机器上存在的多个共振,并且可以增加控制器增益以提高整体跟踪性能。
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引用次数: 5
Tracking control for a long pneumatic transmission line 长气压传输线的跟踪控制
R. Kern, N. Gehring
This paper presents a tracking controller for a long pneumatic transmission line modeled by a bidirectionally coupled system of partial differential equations (PDEs) and ordinary differential equations (ODEs). The feedforward part of the controller is designed by applying a flatness-based approach for hyperbolic PDEs to a second-order quasilinear model of the pneumatic system. The stabilizing feedback is derived by the application of a recently developed backstepping approach for coupled PDE-ODE systems to a different, more simple, linear model of the line. In simulations, the tracking controller is used to asymptotically stabilize a complex quasilinear third-order distributed parameter model of the pneumatic transmission line along a desired trajectory. This complex model has previously been shown to accurately reproduce the behavior of the pneumatic test bench considered.
本文提出了一种采用偏微分方程与常微分方程双向耦合系统建模的长距离气动传输线跟踪控制器。将基于平面度的双曲偏微分方程方法应用于气动系统的二阶拟线性模型,设计了前馈控制器。稳定反馈是通过将最近开发的一种用于耦合PDE-ODE系统的反演方法应用于不同的、更简单的线性模型而得到的。在仿真中,利用跟踪控制器使气动传输线的复杂拟线性三阶分布参数模型沿期望轨迹渐近稳定。这个复杂的模型以前已被证明可以准确地再现所考虑的气动试验台的行为。
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引用次数: 4
Position estimation at zero speed for PMSM using the principal component analysis 基于主成分分析的永磁同步电机零转速位置估计
K. Urbanski, Krzysztof Nowopolski
The article proposes a method for estimating the shaft position of a synchronous motor with permanent magnets for the zero and very low speed range. Presented method involves a comparison of obtained shape of current hodograph to the reference pattern using the principal component analysis. The method is based on an analyzing of the high frequency currents, which are excited by high frequency additional voltages. Although this method imply the recognition of a currents hodograph, in a case of using this method, it is no necessity to calculating the ellipse position. The method can achieve satisfactory accuracy in a case the high asymmetry of the inductance, as well as in the case of small values of the inductance asymmetry ratio, also in the case of a presence of a measurement noise.
本文提出了一种估算永磁同步电动机在零速和极低速范围内轴位的方法。该方法采用主成分分析方法,将得到的电流谱图形状与参考谱图形状进行比较。该方法基于对高频附加电压激励下的高频电流的分析。虽然该方法意味着电流轨迹的识别,但在使用该方法的情况下,不需要计算椭圆位置。该方法在电感不对称度高、电感不对称比值小以及存在测量噪声的情况下均能取得令人满意的精度。
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引用次数: 0
Adaptive and robust motion control in presence of LuGre-type friction 存在lugrei型摩擦的自适应鲁棒运动控制
M. Jastrzębski, J. Kabzinski, Przemysław Mosiołek
The proposed approach to the adaptive motion control in the presence of LuGre-type friction consists in the compensation of all components containing the internal model variable by a robust control term, based on a special “bounding function”. To minimize the chattering effect, this function is approximated by a linear-in-parameters model. The model is tuned on-line by the adaptive control, together with the remaining unknown parameters.
提出了一种基于特殊“边界函数”的鲁棒控制项对包含内部模型变量的所有分量进行补偿的鲁棒运动控制方法。为了最小化抖振效应,该函数用参数线性模型近似。通过自适应控制对模型进行在线整定,并对剩余的未知参数进行在线整定。
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引用次数: 1
Deep neural networks approach to skin lesions classification — A comparative analysis 皮肤损伤分类的深度神经网络方法-比较分析
Arkadiusz Kwasigroch, Agnieszka Mikołajczyk, M. Grochowski
The paper presents the results of research on the use of Deep Neural Networks (DNN) for automatic classification of the skin lesions. The authors have focused on the most effective kind of DNNs for image processing, namely Convolutional Neural Networks (CNN). In particular, three kinds of CNN were analyzed: VGG19, Residual Networks (ResNet) and the hybrid of VGG19 CNN with the Support Vector Machine (SVM). The research was carried out with the use of database of over 10 000 images representing skin lesions: benign and malignant. Because of an uneven number of images representing different classes of lesions, the up-sampling of underrepresented class was applied. The comparison of the CNN structures with respect to the accuracy, sensitivity and specificity was performed using k-fold validation method.
本文介绍了利用深度神经网络(DNN)对皮肤损伤进行自动分类的研究结果。作者专注于最有效的图像处理dnn,即卷积神经网络(CNN)。特别分析了三种CNN: VGG19、残差网络(ResNet)和VGG19 CNN与支持向量机(SVM)的混合。该研究是利用超过10000张代表皮肤病变的图像数据库进行的:良性和恶性。由于代表不同类别病变的图像数量不均匀,因此应用了代表不足类别的上采样。使用k-fold验证方法比较CNN结构的准确性、灵敏度和特异性。
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引用次数: 42
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2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR)
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