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IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society最新文献

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Energy Efficient Reduced Area Overhead Spin-Orbit Torque Non-Volatile SRAMs 节能减小面积架空自旋-轨道转矩非易失性ram
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254623
Karim Ali, Fei Li, S. Lua, C. Heng
This paper proposes two spin orbit torque nonvolatile static random-access memories (SOT-NVSRAMs) with reduced area overhead. One of the proposed cells comprises nine transistors (9T) and a pair of complementary SOT-MTJs and the other comprises seven transistors (7T), two MOM diodes stacked over a pair of complementary SOT-MTJs. The proposed 7T cell has only one overhead transistor compared to the standard 6T SRAM cell, achieving at least 50% reduction compared to other SOT-NVSRAM designs in the literature. Moreover, the always complementary MTJs aid to increase the read margin and speed, leading to at least 20% lower restore energy of our proposed 9T cell compared to others. Furthermore, the two SOT-MTJs are written serially resulting in at least 32% lower store energy of both designs than the counterparts in the literature. In addition, the two SOT-MTJs are totally disconnected from the 6T cell in the nominal SRAM operation, which aids in maintaining the conventional SRAM high performance. Our proposed cell achieves at least 2.2x and 1.9x improvement in a figure-of-merit defined as energy and area product compared to its counterparts in the literature.
提出了两种减小面积开销的自旋轨道转矩非易失性静态随机存取存储器(sot - nvsram)。其中一个单元由9个晶体管(9T)和一对互补的SOT-MTJs组成,另一个单元由7个晶体管(7T)组成,两个MOM二极管堆叠在一对互补的SOT-MTJs上。与标准的6T SRAM单元相比,所提出的7T单元只有一个开销晶体管,与文献中其他SOT-NVSRAM设计相比,至少减少了50%。此外,总是互补的mtj有助于增加读取余量和速度,导致我们提出的9T细胞的恢复能量比其他细胞低至少20%。此外,两个sot - mtj是连续编写的,导致两种设计的存储能量比文献中的对应设计至少低32%。此外,在标称SRAM操作中,两个sot - mtj与6T单元完全断开,这有助于保持传统SRAM的高性能。与文献中的同类产品相比,我们提出的电池在定义为能量和面积乘积的性能指标上实现了至少2.2倍和1.9倍的改进。
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引用次数: 2
On Path Following Evaluation for a Tethered Climbing Robot 系绳攀爬机器人的路径跟踪评价
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254396
Andreas Papadimitriou, G. Andrikopoulos, G. Nikolakopoulos
Over the last years, there is a growing need for climbing robots performing autonomous inspection tasks of large-scale infrastructure, to reduce inspection time and the overall operation costs. Thickness measurement, visual inspection, fault detection, etc. are a few examples of inspection and maintenance applications that could be performed autonomously by robotic platforms like climbing robots. One of the main challenges of inspecting large infrastructures, is the problem of path planning, as the path should be optimal to reduce the inspection time, incorporate sensor properties, and account for important robot requirements such as power supply cabling. This article proposes a novel path planner targeting inspection tasks, where the restrictions posed by the cabling on a Vortex Robot (VR), the attached sensor, and the properties of the scanned surfaces are taken into consideration. The presented framework is successfully evaluated in multiple closed-loop experiments, under different surface inclinations and VR orientations to demonstrate the efficacy of the path planning and control scheme.
在过去的几年里,人们越来越需要爬行机器人来执行大型基础设施的自主检测任务,以减少检测时间和整体运营成本。厚度测量、目视检查、故障检测等是可以由机器人平台(如攀爬机器人)自主执行的检查和维护应用的几个例子。检查大型基础设施的主要挑战之一是路径规划问题,因为路径应该是最优的,以减少检查时间,结合传感器特性,并考虑到重要的机器人要求,如供电电缆。本文提出了一种针对检测任务的新型路径规划方法,该方法考虑了旋涡机器人(VR)上的布线、附加传感器以及被扫描表面的特性所带来的限制。在多个闭环实验中,在不同的表面倾角和VR方向下,成功地对该框架进行了评估,以证明路径规划和控制方案的有效性。
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引用次数: 2
A Composite Internal Model Robust Control Strategy for an Automobile Steer-by-wire System 汽车线控转向系统的复合内模鲁棒控制策略
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255126
Hu Guo, Weishun Deng, F. Yu
In this paper, a composite Internal Model Robust Control (IMRC) strategy based on an automobile Steer-by-wire (SBW) system is proposed to improve the performance for active steering. A mathematical model of SBW system is built. A two-degree-of-freedom Internal Model Controller (IMC) optimized by Particle Swarm Optimization (PSO) algorithm is designed for the SBW actuator system to track the desired front-wheel steering angle. Simulations are carried out to verify the effectiveness of IMC controller and the results demonstrate that the IMC controller is able to provide better control performance compared with a PID controller optimized by PSO algorithm. Besides, a Generalized Internal Model Robust Controller (GIMRC) based on the improved Youla parameterization is designed to track the desired yaw rate of controlled vehicle and improve the robustness against parameter uncertainties and external disturbances. Open-loop simulations are carried out to verify the effectiveness of GIMRC controller and the results demonstrate that desired yaw rate can be accurately tracked in different driving conditions. Then co-simulation is carried out via MATLAB/Simulink and CarSim to verify the effectiveness of the composite strategy. The results indicate that better handling and stability performance can be obtained for the automobile SBW system combining the proposed strategy.
为了提高汽车线控转向系统的主动转向性能,提出了一种基于线控转向系统的复合内模鲁棒控制策略。建立了SBW系统的数学模型。设计了一种基于粒子群算法优化的二自由度内模控制器(IMC),用于小车的前轮转角跟踪。仿真验证了IMC控制器的有效性,结果表明,与采用粒子群算法优化的PID控制器相比,IMC控制器具有更好的控制性能。此外,设计了一种基于改进Youla参数化的广义内模鲁棒控制器(GIMRC),用于跟踪被控飞行器的期望横摆角速度,提高被控飞行器对参数不确定性和外界干扰的鲁棒性。通过开环仿真验证了GIMRC控制器的有效性,结果表明该控制器在不同驾驶条件下都能准确跟踪期望的横摆角速度。然后通过MATLAB/Simulink和CarSim进行联合仿真,验证了复合策略的有效性。结果表明,采用该策略后,汽车SBW系统具有较好的操纵性能和稳定性。
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引用次数: 0
Non-Invasive method using Contact-less Sensors and Embedded Platform for Monitoring Quality determining factors of Indian Mangoes 采用非接触式传感器和嵌入式平台的非侵入式监测印度芒果质量决定因素的方法
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254976
Subhadeep Bardhan, S. Bagchi, M. Jenamani, A. Routray
The paper aims at proposing a non-invasive method for monitoring of the quality determining factors of Indian mangoes. The framework shows an IoT architecture in global mango cold chain using edge computing. Positioned at the inside of the reefer container, the system performs the task of sampling physio-chemical data from its integrated sensors and records the dynamic changes in continuous data streams. These records are treated in batches and incase of sensor events, the device triggers an alarm to a remote administration system hosted in Google cloud. GSM (during land transport) and on board Wi-Fi (during sea transport) are used as communication protocols during the phases of the journey. The data generated from the devices have been calibrated with reference to a standard Industry grade meter and compared with other similar systems.
本文旨在提出一种对印度芒果品质决定因素进行无创监测的方法。该框架展示了使用边缘计算的全球芒果冷链中的物联网架构。该系统位于冷藏集装箱内部,从其集成传感器中采集理化数据,并记录连续数据流的动态变化。这些记录被批量处理,如果传感器发生事件,设备会向托管在谷歌云上的远程管理系统发出警报。GSM(在陆地运输期间)和船上Wi-Fi(在海上运输期间)被用作旅程阶段的通信协议。设备产生的数据已参照标准工业等级仪表进行校准,并与其他类似系统进行比较。
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引用次数: 2
Swarm Intelligence Aided Parameter Design for the Symmetrical CLLC-Type DAB Converter with Robust Voltage Conversion Gain 具有鲁棒电压转换增益的对称cllc型DAB变换器的群智能辅助参数设计
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255209
Fanfan Lin, Xin Zhang, Xinze Li
The symmetrical CLLC-type DAB converter has become more popular as a DC transformer (DCT) in the DC microgrid for its galvanic isolation, high power efficiency and high power density. As a DCT, the CLLC-type DAB converter is expected to regulate the DC voltages on the bus and keep a robust voltage conversion gain (VCG). However, because of the practical values of the inductors and capacitors may fluctuate with varying temperature and operating power, VCG of the CLLC-type DAB converter may deviate from the designed one, negatively affecting power supplies. Therefore, this paper proposes a swarm intelligence aided parameter design approach for the CLLC-type DAB converter to ensure its robust VCG against fluctuating inductors and capacitors. In this design approach, the particle swarm optimization (PSO) algorithm is adopted to facilitate design process with high accuracy and computational speed. Finally, the effectiveness of the proposed design approach has been verified with experiments.
对称型cllc型DAB变换器以其电流隔离、高功率效率和高功率密度等优点,在直流微电网中作为直流变压器(DCT)越来越受欢迎。作为DCT, cllc型DAB变换器有望调节母线上的直流电压并保持稳健的电压转换增益(VCG)。然而,由于电感和电容的实用值会随着温度和工作功率的变化而波动,cllc型DAB变换器的VCG可能会偏离设计值,对电源产生负面影响。为此,本文提出了一种基于群体智能的cllc型DAB变换器参数设计方法,以保证其对电感和电容波动的鲁棒性。在该设计方法中,采用粒子群优化(PSO)算法,简化了设计过程,具有较高的精度和计算速度。最后,通过实验验证了所提设计方法的有效性。
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引用次数: 1
Statistical Multi-Faults Localization Strategy of Switch Open-Circuit Fault for Modular Multilevel Converters Using Grubbs Criterion 基于Grubbs准则的模块化多电平变换器开关开路故障统计多故障定位策略
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254519
Mingbo Jin, F. Deng, Chengkai Liu, Q. Yu, Jifeng Zhao, Qingsong Wang
Fault localization is one of the most important issues for the MMC consisting of large number of switches. This paper proposes a statistical multi-faults localization strategy for the MMC, where a feature extraction algorithm of capacitor voltage variations is proposed to extract the features of the MMC based on the exponential smoothing relationship among the capacitor voltages. Based on the extracted features, faults in the MMC can be easily located with the Grubbs Criterion according to the Grubbs Criterion Table. The proposed Grubbs Criterion-based fault localization strategy can construct concise simple features samples for the MMC containing all exponential smoothing global capacitor voltage variables, and accordingly it can locate faults with short time for the MMC. In addition, it not only does not require a large number of training data samples, but also does not require the creation of complex mathematical models and manual setting of empirical thresholds. It is compatible with both single and multiple switches open-circuit failures. The results of the simulation confirm the effectiveness of the proposed strategy.
故障定位是由大量交换机组成的MMC的重要问题之一。本文提出了一种MMC的统计多故障定位策略,提出了一种基于电容电压之间的指数平滑关系提取MMC特征的电容电压变化特征提取算法。根据提取的特征,根据格拉布准则表,利用格拉布准则对MMC中的故障进行定位。所提出的基于Grubbs准则的故障定位策略可以为包含所有指数平滑全局电容电压变量的MMC构造简洁的特征样本,从而在短时间内对MMC进行故障定位。此外,它不仅不需要大量的训练数据样本,也不需要建立复杂的数学模型和人工设置经验阈值。它兼容单开关和多开关开路故障。仿真结果验证了该策略的有效性。
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引用次数: 1
Remaining Useful Life Estimation of Rotating Machines using Octave Spectral Features 利用八度谱特征估计旋转机械的剩余使用寿命
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254950
Eoghan T. Chelmiah, Violeta I. McLoone, D. F. Kavanagh
Bearing failure is one of the most common causes of failure for electric machines. Acquiring the vibration data of a machine with suitably placed accelerometers is a noninvasive and widely adopted approach for obtaining information regarding the health condition of the mechanical bearings. This paper presents a robust condition monitoring method for wear state classification and remaining useful life estimation of the mechanical rolling element bearings using orthogonal vibration signals. This proposed method uses non-linear signal processing techniques in the frequency domain for feature subset selection of short-time Fourier Transform (STFT) spectra and non-linear temporal class boundaries for classification using Coarse and Weighted K-Nearest Neighbour. This method has been tested and validated using the IEEE PHM PRONOSTIA challenge dataset. The signal processing and ML based approach presented here has performed extremely well with correct classification results of up to 75.6% being achieved. This work is of significant merit and will be highly valuable for the electric machines community allowing for the implementation of a robust condition monitoring system for many industrial applications using vibration sensors.
轴承故障是电机最常见的故障原因之一。通过适当放置加速度计来获取机器的振动数据是一种非侵入性的、被广泛采用的获取机械轴承健康状况信息的方法。提出了一种基于正交振动信号的机械滚动轴承磨损状态分类和剩余使用寿命估计的鲁棒状态监测方法。该方法利用频域非线性信号处理技术对短时傅里叶变换(STFT)谱进行特征子集选择,并利用粗糙和加权k近邻进行非线性时间类边界分类。该方法已使用IEEE PHM PRONOSTIA挑战数据集进行了测试和验证。本文提出的基于信号处理和机器学习的方法表现非常好,实现了高达75.6%的正确分类结果。这项工作具有显著的优点,对于电机界来说具有很高的价值,可以为许多使用振动传感器的工业应用实现强大的状态监测系统。
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引用次数: 3
Modeling Power Electronic Converters Using A Method Based on Long-Short Term Memory (LSTM) Networks 基于长短期记忆(LSTM)网络的电力电子变换器建模方法
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255375
Pouria Qashqai, K. Al-haddad, Rawad F. Zgheib
Power electronic converters are the crucial components of numerous applications. Due to the switching nature of power electronic converters, they behave nonlinearly. Thus the detailed modeling of such converters imposes a huge complexity and calculation burden on their simulation. This complexity grows exponentially when the detailed models are integrated into the simulation of large networks. In this paper, a large signal modeling technique based on long-short term memory networks is proposed. The black-box approach enables the method to model commercial over the shelf converters. The size of the network provides enough degree of freedom for tuning a trade-off between complexity and accuracy. A DC/DC buck converter is modeled using this technique to validate its performance. The training datasets are obtained from the MATLAB/Simulink switching model of the converter. A long-short term memory network (LSTM) is then trained using MATLAB’s deep learning toolbox. The obtained results demonstrate the performance of the proposed method over conventional black box modeling techniques based on neural networks.
电力电子变换器是许多应用的关键部件。由于电力电子变换器的开关特性,它们的行为是非线性的。因此,这种变换器的详细建模给其仿真带来了巨大的复杂性和计算负担。当将详细模型集成到大型网络的模拟中时,这种复杂性呈指数级增长。本文提出了一种基于长短期记忆网络的大信号建模技术。黑盒方法使该方法能够对商用现成转换器进行建模。网络的大小为在复杂性和准确性之间进行调整提供了足够的自由度。利用该技术对DC/DC降压变换器进行了建模,验证了其性能。训练数据集由变换器的MATLAB/Simulink切换模型获得。然后使用MATLAB的深度学习工具箱训练长短期记忆网络(LSTM)。结果表明,该方法优于传统的基于神经网络的黑盒建模技术。
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引用次数: 11
Repetitive Control for Harmonic Compensation in Three-phase Isolated Matrix Rectifier 三相隔离矩阵整流器谐波补偿的重复控制
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254723
Yifeng Li, Jinqiu Song, Bin Duan, Xiangjie Li, Chenghui Zhang
Three-phase isolated matrix rectifier (IMR) is a kind of single-stage converters without dc-bus. IMR has the advantages of high transmission efficiency and flexible adjusta-bility of output voltage, which is very suitable for electrical vehicle (EV) chargers. But IMR generates harmonic pollution to the power grid because of its nonlinearity property, which in turn brings disturbances to the output side of IMR. This paper proposes an improved plug-in repetitive controller for the harmonic compensation to three-phase IMR. The proposed controller, which consists of a repetitive controller with a parallel forward path and a conventional PI controller can compensate the harmonic in power grid and attenuate the harmonic currents. For IMR operating at the power frequency, a fractional delay(FD) filter is utilized to approximate the characteristic of the delay and improve the steady-state tracking performance of the proposed controller. Simulation results verify that the proposed control scheme can compensate the harmonics of IMR effectively.
三相隔离矩阵整流器(IMR)是一种无直流母线的单级变流器。IMR具有传输效率高、输出电压可灵活调节等优点,非常适用于电动汽车充电器。但由于IMR的非线性特性,会对电网产生谐波污染,进而给IMR的输出端带来扰动。本文提出了一种改进的插入式重复控制器,用于三相IMR的谐波补偿。该控制器由具有平行正向路径的重复控制器和传统的PI控制器组成,可以补偿电网中的谐波并衰减谐波电流。对于工作在工频的IMR,采用分数阶延迟(FD)滤波器来近似延迟特性,提高了控制器的稳态跟踪性能。仿真结果验证了所提出的控制方案能够有效地补偿IMR的谐波。
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引用次数: 0
Experimental Application of Double Space Vector Pulse Width Modulation on Three Phase Indirect Matrix Converters 双空间矢量脉宽调制在三相间接矩阵变换器上的实验应用
Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254900
A. Ammar, H. Kanaan, M. Hamouda, K. Al-haddad
In this research, double space vector pulse width modulation is used to control the dual stages of the indirect matrix converter. This modulation technique is facilely comprehended and simply put into real-time practice. An experimental prototype of the indirect matrix converter is developed. The modulation algorithm is implemented on a digital signal processor. After establishing the duty ratios and the modulation signals, the gate drive signals are formed and sent to the semiconductor devices. Keen analysis of the overall system and the overall consolidation of topology, modulation, and drive implementation is presented.
在本研究中,采用双空间矢量脉宽调制来控制间接矩阵变换器的双级。这种调制技术易于理解,易于实时应用。研制了间接矩阵变换器的实验样机。该调制算法在数字信号处理器上实现。在确定占空比和调制信号后,形成栅极驱动信号并发送到半导体器件。对整个系统进行了敏锐的分析,并对拓扑、调制和驱动实现进行了整体整合。
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引用次数: 1
期刊
IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
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