IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society最新文献_第2页

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254623

Karim Ali, Fei Li, S. Lua, C. Heng

{"title":"Energy Efficient Reduced Area Overhead Spin-Orbit Torque Non-Volatile SRAMs","authors":"Karim Ali, Fei Li, S. Lua, C. Heng","doi":"10.1109/IECON43393.2020.9254623","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254623","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"3 1","pages":"2275-2280"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74958436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254396

Andreas Papadimitriou, G. Andrikopoulos, G. Nikolakopoulos

{"title":"On Path Following Evaluation for a Tethered Climbing Robot","authors":"Andreas Papadimitriou, G. Andrikopoulos, G. Nikolakopoulos","doi":"10.1109/IECON43393.2020.9254396","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254396","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"168 1","pages":"656-661"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76459518","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255126

Hu Guo, Weishun Deng, F. Yu

{"title":"A Composite Internal Model Robust Control Strategy for an Automobile Steer-by-wire System","authors":"Hu Guo, Weishun Deng, F. Yu","doi":"10.1109/IECON43393.2020.9255126","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255126","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"241 1","pages":"29-34"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76575104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254976

Subhadeep Bardhan, S. Bagchi, M. Jenamani, A. Routray

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255209

Fanfan Lin, Xin Zhang, Xinze Li

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254519

Mingbo Jin, F. Deng, Chengkai Liu, Q. Yu, Jifeng Zhao, Qingsong Wang

{"title":"Statistical Multi-Faults Localization Strategy of Switch Open-Circuit Fault for Modular Multilevel Converters Using Grubbs Criterion","authors":"Mingbo Jin, F. Deng, Chengkai Liu, Q. Yu, Jifeng Zhao, Qingsong Wang","doi":"10.1109/IECON43393.2020.9254519","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254519","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"6 1","pages":"5302-5307"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80476891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254950

Eoghan T. Chelmiah, Violeta I. McLoone, D. F. Kavanagh

{"title":"Remaining Useful Life Estimation of Rotating Machines using Octave Spectral Features","authors":"Eoghan T. Chelmiah, Violeta I. McLoone, D. F. Kavanagh","doi":"10.1109/IECON43393.2020.9254950","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9254950","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"138 1","pages":"3031-3036"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80520806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9255375

Pouria Qashqai, K. Al-haddad, Rawad F. Zgheib

{"title":"Modeling Power Electronic Converters Using A Method Based on Long-Short Term Memory (LSTM) Networks","authors":"Pouria Qashqai, K. Al-haddad, Rawad F. Zgheib","doi":"10.1109/IECON43393.2020.9255375","DOIUrl":"https://doi.org/10.1109/IECON43393.2020.9255375","url":null,"abstract":"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.","PeriodicalId":13045,"journal":{"name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","volume":"39 1","pages":"4697-4702"},"PeriodicalIF":0.0,"publicationDate":"2020-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80526378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254723

Yifeng Li, Jinqiu Song, Bin Duan, Xiangjie Li, Chenghui Zhang

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

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society Pub Date : 2020-10-18 DOI: 10.1109/IECON43393.2020.9254900

A. Ammar, H. Kanaan, M. Hamouda, K. Al-haddad

引用次数: 1