2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)最新文献_第3页

Design and Optimization of Human-Machine Interaction Wearable Device for Lower Limb Rehabilitation Exoskeleton 下肢康复外骨骼人机交互可穿戴设备的设计与优化

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516326

Yue Zhang, Jianhua Wang, Weihai Chen, Jianbin Zhang, Zuobing Chen

引用次数: 0

A Suppression Circuit for The Current Pulse During Digital Valve Drive 数字阀驱动过程中电流脉冲的抑制电路

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516205

Yi Wang, Shuai Wu, Hongtao Jin, Zongxia Jiao

{"title":"A Suppression Circuit for The Current Pulse During Digital Valve Drive","authors":"Yi Wang, Shuai Wu, Hongtao Jin, Zongxia Jiao","doi":"10.1109/ICIEA51954.2021.9516205","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516205","url":null,"abstract":"As an important research direction of the hydraulic system, the digital hydraulic system has attracted wide attention. Digital valve is a typical component in digital hydraulic system. The digital valve is robust to oil contamination and has low price, and it has two states: on and off. On the one hand, in order to improve the response, the digital valve is supplied by high driving voltage to open. On the other hand, in order to reduce the current, the digital valve is powered by low driving voltage to keep open. However, the above dual voltage driving mode to improve response will lead to the current pulse, which will cause a shock to the power supply. Therefore, a current suppression circuit based on supercapacitor was proposed. A simulation model of suppression circuit was built by using MWorks simulation platform. And the circuit was verified based on the simulation model. A series of experiments were completed according to the simulation to select appropriate parameters. The results show that the suppression circuit reduce the power supply current effectively. The supply current is reduced by 71 percent at most.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"7 1","pages":"956-960"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82530648","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

A Hybrid Single-Phase to Three-Phase Power Supply System With Voltage Error Compensation Strategy 具有电压误差补偿策略的单相-三相混合供电系统

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516044

Xinyi Wang, Cheng Guo, Fulin Zhou, Jinfei Xiong

引用次数: 0

Two-time-scale Containment Control of Multi-agent Systems with State-dependent Switching Topology 状态依赖交换拓扑下多智能体系统的双时间尺度包容控制

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516092

Zehua Wang, Dong Wang, Shuai Liu, Jie Lian, Wei Wang

引用次数: 0

Regrouping Optimization Method for Retired Batteries based on Particle Swarm Optimization Algorithm 基于粒子群算法的退役电池重组优化方法

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516407

Xiangdong Li, Xu Chen, Yi Wang, Xiaoxia Si

{"title":"Regrouping Optimization Method for Retired Batteries based on Particle Swarm Optimization Algorithm","authors":"Xiangdong Li, Xu Chen, Yi Wang, Xiaoxia Si","doi":"10.1109/ICIEA51954.2021.9516407","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516407","url":null,"abstract":"A large number of lithium-ion batteries retired from electric vehicles (EVs) need to be treated because nearly 80% of the capacity remains. However, the retired batteries have inconsistencies in capacity, state of charge (SOC), and internal resistance. If batteries are regrouped directly, the power and energy performance will be restricted. In order to improve the energy performance of the second-use battery pack, this paper studies the regrouping method of retired batteries. A semi-empirical model of LiFePO4 battery is used, and then a capacity fading model for the second-use battery pack considering inconsistencies is established. The maximum available Ah-throughput of the pack after regrouping is set as the optimization goal, and the particle swarm optimization algorithm (PSO) is used to search the optimal regrouping method. Simulation is employed to verify the method and the results show that the value of the maximum available Ah-throughput is about 8.2% larger than that of the traditional method. The proposed method is of great significance for guiding effect on the regrouping of retired batteries.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"7 1","pages":"1614-1618"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86901571","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

A Hierarchic Control Strategy for Reliability Enhancement of PFCs in Co-phase TPSS 一种提高共相TPSS中pfc可靠性的分层控制策略

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516310

Meng Wang, Minwu Chen, Wenjie Lu, Zhechao Kou, Haochun Fu, Xin Gong

引用次数: 0

Analysis of Fault Detection Based on Least Squares Approach for BDS Integrity Monitoring 基于最小二乘法的BDS完整性监测故障检测分析

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516106

Yi Zhang, Ershen Wang, Jing Guo, Yao Wang, Cen Wu, M. Liu

引用次数: 0

Prediction of Lower Limb Action Intention Based on Surface EMG Signal 基于表面肌电信号的下肢动作意图预测

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516344

Xingming Wu, Peng Wang, Jianhua Wang, Jianbin Zhang, Weihai Chen, Xuhua Wang

{"title":"Prediction of Lower Limb Action Intention Based on Surface EMG Signal","authors":"Xingming Wu, Peng Wang, Jianhua Wang, Jianbin Zhang, Weihai Chen, Xuhua Wang","doi":"10.1109/ICIEA51954.2021.9516344","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516344","url":null,"abstract":"Aiming at the problem of helping lower limb disabled people recover their ability, this paper classifies and recognizes four kinds of movements (sitting, thigh lifting, leg lifting and leg straightening) based on surface electromyography (sEMG). Firstly, the healthy subjects were trained by collecting the surface EMG signal data of multiple groups of lower limbs. The EMG sensors were placed in the rectus femoris, medial femoris, semitendinosus and gastrocnemius to collect data. The noise is filtered by Butterworth filter and EMD signal reconstruction method, and the pure signal is obtained. The EMG features of each channel data are extracted, and the normalized input vector is sent to the classifier. In this paper, traditional classifiers such as random forest, xgboost and linear discriminant analysis are used to classify lower limb movements. Then, the accuracy of various classifiers is compared. It is found that the recognition accuracy of machine learning is higher, and EMD signal reconstruction method is better than Butterworth filter in the pretreatment of EMG signals, LDA classification accuracy is the highest, which can reach 100%. At the same time, the prediction speed of machine learning is faster, which can reach 300ms.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"122 1","pages":"1679-1684"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86445118","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

Supplementary Damping Controller Design of DFIG With Mode-based Damping Torque Analysis Method 基于模态阻尼力矩分析法的DFIG补充阻尼控制器设计

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516241

J. Bi, Shiyun Xu, Huadong Sun, Yiming Wang, B. Zhao, Qiang Guo, Jianfeng Yan, Jianbo Guo

{"title":"Supplementary Damping Controller Design of DFIG With Mode-based Damping Torque Analysis Method","authors":"J. Bi, Shiyun Xu, Huadong Sun, Yiming Wang, B. Zhao, Qiang Guo, Jianfeng Yan, Jianbo Guo","doi":"10.1109/ICIEA51954.2021.9516241","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516241","url":null,"abstract":"This paper introduced the design method of supplementary damping controller of DFIG with the mode-based damping torque analysis method. Firstly, the principle of the mode-based damping torque analysis method is stated. Then, the comparison of the mode-based damping torque analysis method and two traditional controller design methods, that is, the classical damping torque analysis method and the residue method, are illustrated. Through theoretical derivation, it can be seen that different from the classical damping torque analysis method, the mode-based damping torque analysis method takes the oscillation mode of the power system as the main analysis object directly, which reduced the amount of calculation greatly. In addition, in the controller parameter adjustment in closed-loop system, the “dynamic” mode-based damping torque indicator is theoretically more accurate than the “static” residual indicator. Finally, the modified two-area four-machine power system is used to determine the installation location and parameters of the supplementary damping controller of DFIG with the model-based damping torque analysis method, which demonstrated the correctness of the method.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"142 1","pages":"1541-1546"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88991078","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

Optimization of Magnetic Coupling Resonance Coils 磁耦合共振线圈的优化设计

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516049

Sen Wang, Xicong Sun, Wei Feng, Xianchao Ma, Yongzhi Jing, Songqi Li

引用次数: 2