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Detecting soil parameters from a small tracked vehicle 从小型履带式车辆上检测土壤参数
Alexsandro José Virgínio dos Santos, A. Silva, C. Souto, S. A. Silva, Ana Maria Marques de Lima
Tracked robots have been studied for years, to high-level applications, such as autonomous navigation in areas of difficult access and maneuvering strategies that allow better performance compared to other types of vehicles. The full operation of a robotic system depends on ensuring the functioning of all its parts, which can be divided hierarchically or functionality. There is a consensus that the kinematic model can be simplified for most analyzes. Likewise, the dynamic model is greatly simplified because of its complexity and uncertainty, but not allowing use of models that approximate the actual behavior. The dynamic approach proposed in this work includes a lateral drag force, causing the tracks moves in curvilinear, considering their non-linearity and strong coupling between the tracks. The traction performed by the vehicle is from electric DC motors. Also it is presented the implementation of a procedure for detecting parameters of the interaction between the tracks and the soil, by estimating the coefficients of kinetic and dynamic friction, from the measurement of current supplied to the engines while performing a maneuver.
履带式机器人已经被研究了多年,并得到了高级应用,比如在难以进入的地区进行自主导航,以及与其他类型的车辆相比,具有更好性能的机动策略。机器人系统的完整运行取决于确保其所有部件的功能,这些部件可以按等级或功能进行划分。对于大多数分析,运动学模型都可以简化,这是一个共识。同样,动态模型由于其复杂性和不确定性而被大大简化,但不允许使用接近实际行为的模型。考虑到轨道的非线性和轨道之间的强耦合,本文提出的动力学方法考虑了横向阻力,使轨道呈曲线运动。车辆的牵引力来自直流电机。此外,还介绍了一种检测履带与土壤相互作用参数的方法的实现,该方法通过测量发动机在进行机动时提供的电流来估计动力和动力摩擦系数。
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引用次数: 0
An automatic voltage disturbance classification system based on Clonal Selection Algorithm 基于克隆选择算法的电压干扰自动分类系统
B. Arruda, R. Freire, C. P. Souza
Classification of voltage disturbances in power systems is essential for modern society and can be very demanding according to the used method or the aimed accuracy. This paper presents a new intelligent approach aimed to automatically analyse power quality disturbances including sag, swell, outage, harmonics and normal waveform. The approach is based on Artificial Immune System and focuses on the application of a Clonal Selection Algorithm to extract features from disturbance waveforms and classify the disturbances in each 0.5 cycle of the fundamental frequency. Other important feature of the proposed approach is that it can be embedded since the resulted on-line classification tool achieves very low computational complexity. Comparisons and experimental results obtained from the application of the proposed method validate the approach and achieved a classification accuracy at least better than previous work.
电力系统电压扰动的分类在现代社会中是必不可少的,根据所使用的方法或目标精度的不同,对电压扰动的分类要求很高。本文提出了一种新的智能方法来自动分析电能质量扰动,包括暂降、膨胀、停电、谐波和正常波形。该方法基于人工免疫系统,重点应用克隆选择算法从干扰波形中提取特征,并对基频每0.5个周期的干扰进行分类。该方法的另一个重要特征是它可以嵌入,因为生成的在线分类工具的计算复杂度非常低。应用该方法得到的对比和实验结果验证了该方法的有效性,其分类精度至少优于以往的工作。
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引用次数: 1
Application of artificial vision as measurement validation tests on a robotic hand driven by shape-memory alloys 人工视觉在形状记忆合金驱动机械手测量验证试验中的应用
A. Silva, C. Souto, S. A. Silva, Alexsandro José Virgínio dos Santos, Evandro Alves Torquato Filho
In this work, a robotic hand has been developed. This hand is driven by SMA (Shape Memory Alloy) wires. Some researches has showed the high rejection rate by the amputees using prosthetic upper limbs due to several problems, such as weight, high noise and need of anthropomorphism. In this context, it is presented the development of a robotic hand which is not driven by conventional actuators, in this case, SMA actuators. The mechanical structure of the robotic hand was designed using a computer program (CAD) and subsequently manufactured in ABS (acrylonitrile butadiene styrene) polymer by a rapid prototyping machine (3D printer). The robotic hand was instrumented with a bend sensor (also known as Flexsensor) to monitor the angles formed by each phalanx. The data presented, as the obtained angles, were quite satisfactory for this application. In order to corroborate the data presented by the bend sensor, a system was developed using a camera to procedure a non-contact measurement with image processing.
在这项工作中,一个机械手已经被开发出来。这只手是由SMA(形状记忆合金)线驱动的。一些研究表明,由于重量、高噪音和拟人化需要等问题,截肢者使用假肢上肢排斥率很高。在此背景下,提出了一种不由传统驱动器驱动的机械手,在这种情况下,SMA驱动器的发展。利用计算机程序(CAD)设计了机械手的机械结构,随后通过快速成型机(3D打印机)在ABS(丙烯腈-丁二烯-苯乙烯)聚合物中进行了制造。机器人手配有弯曲传感器(也称为Flexsensor)来监测每个方阵形成的角度。所提供的数据,如所获得的角度,对于这种应用是相当令人满意的。为了证实弯曲传感器提供的数据,开发了一个系统,使用相机进行非接触式测量,并进行图像处理。
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引用次数: 2
Measurement equipment for characterization of ferromagnetic materials 铁磁材料特性测量设备
Tarcisio O. de Moraes, R. Freire, D. A. Vieira, C. P. Souza
Ferromagnetic materials have magnetic properties which determine its magnetic field conductivity characteristics. Such characteristics are extremely important for the proper selection and use of these materials in measurement processes, for example. Therefore, this paper presents an equipment for the characterization of ferromagnetic materials constructed in a laboratory. The experimental results of this equipment are acquired and compared with the experimental results obtained with an industrially manufactured apparatus called hysteresisgraph, designed to provide magnetic characterization of magnetic materials. The results of the comparison demonstrate that the equipment presented has low relative error and can be applied in academic projects which require magnetic characterization of ferromagnetic materials developed in the laboratory.
铁磁材料的磁性能决定了它的磁场导电性。例如,这些特性对于在测量过程中正确选择和使用这些材料非常重要。因此,本文提出了一种在实验室中构建的铁磁材料表征设备。获得了该设备的实验结果,并将其与工业制造的称为磁滞仪的实验结果进行了比较,该仪器旨在提供磁性材料的磁性特性。对比结果表明,该仪器具有较低的相对误差,可用于需要对实验室研制的铁磁材料进行磁性表征的学术项目。
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引用次数: 2
Adaptive soft sensor modeling method based on multi-model dynamic fusion and its industrial application 基于多模型动态融合的自适应软传感器建模方法及其工业应用
Y. Fu, O. Xu, Weijie Chen, H. Ji
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引用次数: 0
Energy-autonomous wind speed smart sensor 能源自主风速智能传感器
Jeanne Elizabeth de Paula Braquehais, A. A. L. Souza
This article presents an energy-autonomous smart sensor targeting wind speed measurements for distributed energy generation. The sensor uses a combination of a micro-turbine coupled to a small-power DC generator, to convert wind speed into a voltage to be measured. Concurrently to measuring wind speed, the smart sensor harvests energy from the wind to power a 2.4 GHz transceiver, being able to send the wind speed information to a computer several meters away. The solution is able to properly work from wind speeds as low as 3.5 m/s, a typical lower limit for small and medium size commercial turbines. The low-cost smart sensor can be configured in a wireless network, so that several nodes can be deployed over buildings, traffic lights, trees, etc. We present the setup used to characterize the sensor, along with the experimental data collected, such as the relation between wind speed and output voltage or output power for different load conditions.
本文提出了一种针对分布式发电风速测量的能量自主智能传感器。该传感器结合了微型涡轮和小功率直流发电机,将风速转换为待测电压。在测量风速的同时,智能传感器从风中收集能量,为2.4 GHz收发器供电,能够将风速信息发送到几米外的计算机。该解决方案能够在风速低至3.5米/秒的情况下正常工作,这是中小型商用涡轮机的典型下限。这种低成本的智能传感器可以配置在无线网络中,这样就可以在建筑物、交通灯、树木等地方部署多个节点。我们介绍了用于表征传感器的设置,以及收集的实验数据,例如风速与输出电压或不同负载条件下的输出功率之间的关系。
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引用次数: 4
Thermal cycling effect on a shape memory and piezoelectric heterostructure 热循环对形状记忆和压电异质结构的影响
C. Souto, Rosiane Agapito da Silva, A. Castro, Alexsandro José Virgínio dos Santos, R. C. Souza
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引用次数: 2
A system for dynamic contact resistance with Arduino platform on MV and HV circuit breaker 基于Arduino平台的中高压断路器动态接触电阻测量系统
R. Souza, J. Araújo, E. Costa, E. Macedo
The paper describes the use of Arduino platform in developing a solution for measuring and processing the dynamic contact resistance curve in high voltage circuit breakers (CB). The system is capable of supply a current test of 300 A between the breaker contacts. The current signal circuit is achieved by the combination of a voltage source based on a stationary battery 12 V / 220 Ah and current limiting resistor from 0.4 to 1.2 Ω. The dynamic resistance measurement (DRM) signals are acquired by an auxiliary circuit which communicates with two analog channels Arduino platform. The voltage and current signals are acquired and stored on the Arduino microcontroller and in the sequence are sent to personal computer to be evaluated by a Matlab© based routine used for digital filtering of noise and generate the dynamic contact resistance curve. The Arduino platform used in this research was the Arduino Mega, with 6 analog input pin, with a 16 bits A/D converter.
本文介绍了利用Arduino平台开发一种测量和处理高压断路器(CB)动态接触电阻曲线的解决方案。该系统能够在断路器触点之间提供300a的电流测试。电流信号电路由基于12 V / 220 Ah的固定电池的电压源和0.4至1.2 Ω的限流电阻组合实现。动态电阻测量(DRM)信号由辅助电路获取,辅助电路与Arduino平台的两个模拟通道通信。电压和电流信号采集并存储在Arduino单片机上,按顺序送入个人计算机,由Matlab©程序对噪声进行数字滤波,生成动态接触电阻曲线。本研究使用的Arduino平台是Arduino Mega,具有6个模拟输入引脚,带有16位a /D转换器。
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引用次数: 6
Acceleration with FPGA for blocks and subblocks edge pattern classification in DCT domain images 用FPGA加速DCT域图像的分块和子块边缘模式分类
Vega-Pineda Javier, Rivera-Mejia Jose, Sandoval-Rodriguez Rafael, Trujillo-Schiaffino Gerardo
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引用次数: 1
Flexible A/D converter architecture targeting sparse signals 针对稀疏信号的灵活A/D转换器架构
V. M. Silva, S. Catunda
In this article, we examine different architectures of analog-to-digital converters (ADCs) and propose a flexible architecture based on sampling by crossing levels and adaptive quantization step, aiming at reducing the energy required to convert and process specific signals. The proposed architecture has parameters which can be configured by the user, in order to adapt the conversion process to the signal being sampled and to the requirements of power consumption of the target application. The architecture was modeled and simulated using Matlab, and tested with different signals, including an Electrocardiogram (ECG) signal. The digital logic was implemented in FPGA from a SystemVerilog description, functionally compatible with the Matlab model, and the analog part was implemented with discrete components.
在本文中,我们研究了模数转换器(adc)的不同架构,并提出了一种基于跨电平采样和自适应量化步骤的灵活架构,旨在减少转换和处理特定信号所需的能量。所提出的结构具有可由用户配置的参数,以便使转换过程适应被采样的信号和目标应用的功耗要求。利用Matlab对该结构进行了建模和仿真,并对不同的信号进行了测试,包括心电图信号。数字逻辑根据SystemVerilog描述在FPGA中实现,功能上与Matlab模型兼容,模拟部分采用离散元件实现。
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引用次数: 3
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... IEEE International Instrumentation and Measurement Technology Conference. IEEE International Instrumentation and Measurement Technology Conference
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