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2012 8th International Symposium on Mechatronics and its Applications最新文献

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A novel intelligent mechatronic system for hybrid testing 一种新型混合动力测试智能机电系统
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215201
M. Allouache, M. Lowenbrg, D. Wagg
This paper aims to present the results of controlling a novel intelligent mechatronic system that was designed specifically to serve as a sensing and motion system for hybrid testing. The conceptual design was inspired from the Stewart Platform for a two-degree-of-freedom (2DoF) moving platform. This design has resulted in non-linear kinematics, coupled dynamics and an inertial moving platform that attracted model-based control strategies. A novel control technique based on fuzzy-flatness control was selected to meet the multiple simultaneous specification control of linearisation, decoupling and asymptotic tracking. Pole placement control was used to achieve stable tracking while the robustness was guaranteed by implementing a robust fuzzy-logic compensation. Simulation results demonstrated the validity of the proposed approaches with perfect trajectory tracking at different excitation conditions. For the experimental implementation, the real-time constraint was further imposed and the actuators time-delay was compensated for using a forward prediction algorithm based on a fourth-order polynomial extrapolation.
本文旨在介绍一种新型智能机电系统的控制结果,该系统是专门设计用于混合测试的传感和运动系统。概念设计的灵感来自于Stewart平台的二自由度移动平台。这种设计产生了非线性运动学、耦合动力学和惯性运动平台,吸引了基于模型的控制策略。为了满足线性化、解耦和渐近跟踪的多重同时控制要求,选择了一种基于模糊平面控制的新型控制技术。采用极点控制实现系统的稳定跟踪,同时通过鲁棒模糊逻辑补偿保证系统的鲁棒性。仿真结果表明,所提方法在不同激励条件下具有良好的轨迹跟踪效果。在实验实现中,进一步施加了实时性约束,并采用基于四阶多项式外推的前向预测算法补偿了执行器的时滞。
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引用次数: 0
Nonlinear AutoRegressive eXogenous Artificial Neural Networks for predicting Buckling restrained braces force 非线性自回归外生人工神经网络预测屈曲约束支撑力
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215175
Ibrahim Choudhary, Khaled Assaleh, Mohammad AlHamaydeh
This paper proposes a novel approach for modeling the nonlinear dynamic behavior of Buckling-Restrained Braces (BRBs). The proposed approach is based on a combination of two architectures of Artificial Neural Networks (ANN) namely, Nonlinear AutoRegressive eXogenous (NARX) ANN and feed forward back propagation (FFBP) ANN. The proposed model predicts (outputs) the brace force at a certain time from the brace deflection and its history and the history of the brace force. The data used in training and testing of the model is acquired from the experimental testing of four BRB specimens. The proposed model is trained on data from one specimen while tested against the rest to demonstrate its learning and generalization capability. Optimum values for various network parameters are selected empirically to obtain the best network performance. The results show that the prediction error for the peak response (maximum tensile/compressive force) lies within ±5% confidence interval for all cycles.
本文提出了一种新的屈曲约束支撑(brb)非线性动力行为建模方法。该方法基于两种人工神经网络结构的结合,即非线性自回归外生神经网络(NARX)和前馈反馈传播神经网络(FFBP)。该模型根据支撑挠度及其变化历史和支撑力变化历史预测(输出)某一时刻的支撑力。用于模型训练和测试的数据来源于4个BRB试件的实验测试。提出的模型在一个样本的数据上进行训练,同时对其余样本进行测试,以证明其学习和泛化能力。经验选择各种网络参数的最优值,以获得最佳的网络性能。结果表明,对峰值响应(最大拉伸/压缩力)的预测误差在±5%的置信区间内。
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引用次数: 9
Validation, in healthy adults, of the reproducibility of the elongation of the cervical spine, under constant traction, in function of time and breathing. Pilot study. 在健康成人中,在持续牵引下,在时间和呼吸的作用下,验证颈椎伸长的可重复性。试点研究。
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215172
J. Wehbe, M. Khalil, M. Halimi
Introduction: The region of the neck is vulnerable. In case of pathology, the cervical traction is suggested to put under stress its constituent elements. We consider that the elongation of the cervical spine is constant and reproducible under the influence of a given traction power. We suggest studying the validation of a measuring instrument to objectivize the pathological damages and the results of the treatment. Method: 60 healthy subjects with a mean age of 25.83 ± 6.55 took part in our study. They have been evaluated two times within a 3-day interval. The extension of the neck was measured by a potentiometer during 120s under the effect of a cervical tension using 7% of the body's weight. The relaxation of the subject was revealed through EMG recording of the muscles of the neck. Synchronization with breathing was captured through an abdominal detector. Results: The elongation of the cervical spine was 1.71 + 0.7 mm. The reproducibility of the elongation was large (r = 0.73). The elongation of the cervical spine according to the respiratory rhythm of the subject could not be reported. Discussion and Conclusion: The flow of the conjunctive tissues of the neck is constant and its measurement with our tool is reliable. This leads to a lot of new research openings.
介绍:颈部的区域是脆弱的。在病理情况下,建议颈椎牵引对其组成要素施加压力。我们认为,在给定牵引力的影响下,颈椎的伸长率是恒定的和可重复的。我们建议研究一种测量仪器的验证,以客观地观察病理损害和治疗结果。方法:60例健康受试者,平均年龄25.83±6.55岁。他们在3天的间隔内进行了两次评估。在以体重的7%施加颈部张力的作用下,用电位器在120秒内测量颈部的伸长。通过颈部肌肉的肌电图记录显示受试者的放松状态。通过腹部探测器捕捉到与呼吸的同步。结果:颈椎伸长率为1.71±0.7 mm。伸长率重现性好(r = 0.73)。颈椎根据受试者呼吸节律的伸长未被报道。讨论与结论:颈部结缔组织的流量是恒定的,用我们的仪器测量是可靠的。这带来了许多新的研究机会。
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引用次数: 1
FPGA implementation of binary coded decimal digit adders and multipliers FPGA实现二进制编码的十进制数字加法器和乘法器
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215199
O. Al-Khaleel, N. H. Tulic, K. Mhaidat
Decimal arithmetic has gained high impact on the overall performance of today's financial and commercial applications. Decimal additions and multiplication are the main decimal operations used in any decimal arithmetic algorithm. Decimal digit adders and decimal digit multipliers are usually the building blocks for higher order decimal adders and multipliers. FPGAs provide an efficient hardware platform that can be employed for accelerating decimal algorithms. In this paper, different designs for two decimal digit adders and one decimal digit multiplier are proposed. The proposed designs were described, functionally tested, and implemented using VHDL and the Xilinx ISE 10.1 targeting Xilinx Vertix-5 XC5VLX30-3 FPGA. Implementation results and comparison with existing designs are provided.
十进制算术对当今金融和商业应用的整体性能产生了很大的影响。十进制加法和乘法是任何十进制算术算法中使用的主要十进制运算。十进制数字加法器和十进制数字乘法器通常是高阶十进制加法器和乘法器的构建块。fpga为加速十进制算法提供了一个高效的硬件平台。本文提出了两位数加法器和一位数乘法器的不同设计。使用VHDL和Xilinx ISE 10.1对提出的设计进行了描述、功能测试和实现,目标是Xilinx Vertix-5 XC5VLX30-3 FPGA。给出了实现结果,并与现有设计进行了比较。
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引用次数: 16
Hole quality assessment in peck drilling 轻钻孔质量评价
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215180
S. Pervaiz, I. Deiab, H. Kishawy
This paper evaluates the hole quality on Al 6061 aluminum alloy using peck drilling process. Specimens were drilled under dry conditions with HSS drill of 10 mm diameter. Peck drilling experiments were conducted in three steps of 10 mm each. Hole quality is checked by measuring the roughness (Ra) of generated surfaces. This roughness analysis indicates that new step in peck drilling has strong influence on surface roughness of previously drilled step. This work also suggests that step length and no of steps are important influential factors for surface roughness in peck drilling.
采用微孔法对al6061铝合金的孔质量进行了评价。在干燥条件下,用直径为10mm的HSS钻头钻孔。Peck钻孔实验分三个步骤进行,每个步骤10毫米。通过测量所生成表面的粗糙度(Ra)来检查孔质量。这种粗糙度分析表明,peck钻孔中新台阶对先前钻孔台阶的表面粗糙度有很大的影响。研究还表明,步长和步数是影响微孔钻孔表面粗糙度的重要因素。
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引用次数: 1
Classification of multichannel uterine EMG signals using a reduced number of channels 使用减少通道数的子宫肌电图多通道信号分类
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215191
Bassam Moslem, M. Diab, M. Khalil, C. Marque
Multisensor recording is an important technique used for solving various pattern recognition problems such as the classification of electrophysiological signals. Studies have shown that, although there is a correlation between the electrical activities recorded at different sites, the characteristics of the recorded signal depend on the position of the recording electrode. In this study, we search for the combination of channels that can provide the highest classification accuracy of multichannel uterine (electromyogram) EMG signals. The procedure of reducing the total number of channels is described. Our approach is tested by calculating 4 statistical measures. Results have shown that our proposed approach is capable of reducing the number of recording channels and improving the global classification accuracy.
多传感器记录是解决电生理信号分类等多种模式识别问题的重要技术。研究表明,虽然在不同位置记录的电活动之间存在相关性,但记录信号的特征取决于记录电极的位置。在这项研究中,我们寻找可以提供最高分类精度的多通道子宫肌电图肌电信号的通道组合。描述了减少信道总数的过程。我们的方法是通过计算4个统计度量来检验的。结果表明,该方法能够减少记录通道数量,提高全局分类精度。
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引用次数: 11
Carrier aggregation across wireless access technologies 跨无线接入技术的载波聚合
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215188
L. Albasha, S. M. Sagali
In order to increase system capacity and improve UE peak throughput, 3GPP has introduced Multi Carrier operation for HSPA by aggregating 2 adjacent carriers in Release 8 and further enhancements in Release 9 by aggregating upto 4 non adjacent carriers. Similar operation was adopted in 3GPP Release 10 for LTE allowing it to aggregate upto 5 carriers. Many Mobile operators are deploying both technologies LTE and HSPA simultaneously and will face great challenges with their assigned frequency spectrum to use aggregation either in LTE or HSPA. Multicarrier LTE or HSPA have quite similar Peak data rates results when using the same bandwidth. This paper proposes the possibility of aggregating LTE and HSPA carriers in a multi radio environment allowing dynamic usage of both systems by a single user for capacity and peak data rates improvements.Mobile operatorsfrequency spectrummulti radio environment
为了增加系统容量和提高UE峰值吞吐量,3GPP在第8版中引入了HSPA的多载波操作,通过聚合2个相邻的载波,并在第9版中进一步增强,通过聚合多达4个非相邻的载波。在3GPP Release 10中,LTE采用了类似的操作,允许它最多聚合5个运营商。许多移动运营商正在同时部署LTE和HSPA两种技术,在分配频谱时,在LTE或HSPA中使用聚合将面临巨大挑战。在使用相同带宽时,多载波LTE或HSPA具有非常相似的峰值数据速率结果。本文提出了在多无线电环境中聚合LTE和HSPA载波的可能性,允许单个用户动态使用两个系统以提高容量和峰值数据速率。移动运营商频谱多无线电环境
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引用次数: 2
Optimal PID-Fuzzy Logic Controller for type 1 diabetic patients 1型糖尿病患者最优pid -模糊控制器
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215171
M. Al-Fandi, M. Jaradat, Y. Sardahi
In this paper, an optimal PID-FLC (Proportional Integral Derivative Fuzzy Logic Controller) is proposed. The design of this system aims to control blood glucose elevation in type 1 diabetic patients. An automated system integrated with a miniaturized insulin infusion pump and a continuous biosensor that measures the glucose level has been developed recently to replace beta cells in the pancreas. The main contribution of the paper is that it introduces an automated insulin delivery system based on a parallel PID-FLC structure tuned with genetic algorithms. This control system was compared to an optimal PIFLC and PD-FLC as well as a reference model. The results revealed that the controllers could maintain the glucose level within a normal range. In addition, the performance of the PIFLC and the PID-FLC was very close to that of beta cells in normal individuals. So, they can be exploited prosperously as control systems to manage blood glucose concentrations in Type 1 diabetic patients. In addition, the PID-FLC saved the amount of the daily delivered insulin, while, its performance was approximately the same as that of the PI-FLC.
本文提出了一种最优比例积分导数模糊控制器(PID-FLC)。本系统的设计旨在控制1型糖尿病患者的血糖升高。最近,一种集成了微型胰岛素输注泵和连续生物传感器的自动化系统被开发出来,用于替代胰腺中的β细胞。本文的主要贡献是介绍了一种基于并行PID-FLC结构的自动化胰岛素输送系统,该结构与遗传算法相协调。将该控制系统与最优PIFLC和PD-FLC以及参考模型进行了比较。结果显示,控制器可以将血糖水平维持在正常范围内。此外,PIFLC和PID-FLC的性能非常接近正常人的β细胞。因此,它们可以作为控制系统来管理1型糖尿病患者的血糖浓度。此外,PID-FLC节省了每天的胰岛素输送量,而其性能与PI-FLC大致相同。
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引用次数: 19
Autonomous ground vehicle design, integration and control for the IGVC Competition IGVC竞赛的自主地面车辆设计、集成和控制
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215198
M. Zulkifli, H. Z. Aichour, M. S. Chowdhury, N. Ali, W. Khan, K. Saadeddin, S. Ukkirapandian, M. Jarrah
This paper describes the design, development and testing of Unmanned Autonomous ground vehicle that was developed to participate in the International Ground Vehicle Competition (IGVC). This paper will go through the overall system design and the details of each subsystem.
本文介绍了为参加国际地面车辆竞赛(IGVC)而开发的无人驾驶自主地面车辆的设计、开发和测试。本文将介绍系统的总体设计和各子系统的详细设计。
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引用次数: 1
Optimization of neural network for efficient EMG signal classification 基于神经网络的肌电信号分类优化
Pub Date : 2012-04-10 DOI: 10.1109/ISMA.2012.6215165
M. Ahsan, M. Ibrahimy, O. Khalifa
This paper illustrates the classification of Electromyography (EMG) signals through designing and optimization of artificial neural network. The EMG signals obtained for different kinds of hand movements, which are processed to extract the features. Extracted time and time frequency based feature sets are used to train the neural network. A back-propagation neural network with Levenberg-Marquardt training algorithm has been utilized for the classification. The results show that the designed network is optimized for 10 hidden neurons and able to efficiently classify single channel EMG signals with an average rate of 88.4%.
本文通过对人工神经网络的设计和优化,阐述了肌电信号的分类。对得到的不同手部运动的肌电信号进行处理,提取特征。提取的基于时间和时间频率的特征集用于训练神经网络。利用Levenberg-Marquardt训练算法的反向传播神经网络进行分类。结果表明,所设计的神经网络对10个隐藏神经元进行了优化,能够有效地对单通道肌电信号进行分类,平均分类率为88.4%。
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引用次数: 6
期刊
2012 8th International Symposium on Mechatronics and its Applications
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