2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)最新文献_第9页

Adaptive gait generation based on pose graph optimization for Lower-limb Rehabilitation Exoskeleton Robot 基于姿态图优化的下肢康复外骨骼机器人自适应步态生成

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516173

Xingming Wu, Debin Guo, Jianhua Wang, Jianbin Zhang, Weihai Chen

{"title":"Adaptive gait generation based on pose graph optimization for Lower-limb Rehabilitation Exoskeleton Robot","authors":"Xingming Wu, Debin Guo, Jianhua Wang, Jianbin Zhang, Weihai Chen","doi":"10.1109/ICIEA51954.2021.9516173","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516173","url":null,"abstract":"The lower extremity rehabilitation exoskeleton robot can achieve rich functions through well-designed software and hardware control systems, and bring the gospel to patients with stroke in society. Exoskeleton in the current market has problems such as poor human-computer interaction and a single rehabilitation training scene. Based on the exoskeleton system, this subject studies the human, machine, and environment interactive control strategies of the independent exoskeleton and the adaptive weight-reduction system of the exo-skeleton rehabilitation robot. These studies will significantly improve the human-computer interaction of exoskeleton and expand the rehabilitation training scene of exoskeleton. The innovation of this subject is to design a complete set of independent exoskeleton software and hardware systems, and to design an efficient real-time sensing algorithm for the independent exoskeleton system, and to propose an adaptive trajectory generation algorithm that can adapt to different terrain walking to complete Human, machine, and environment interactions of the exoskeleton system. For the bench-type exoskeleton system, we designed an adaptive weight loss system based on force control to help patients with severe illness to complete rehabilitation training.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"3 1","pages":"1501-1506"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73189331","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 cooling capacity distribution method for liquid cooling cycle based on Co-simulation and optimization of AMESim and modeFRONTIER 基于AMESim和modelfrontier联合仿真优化的液冷循环制冷量分配方法

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516133

Li Haodong, Dong Sujun, J. Hongsheng, Li Yunhua

引用次数: 0

Path Optimization of Intelligent Wheelchair Based on an Improved Ant Colony Algorithm 基于改进蚁群算法的智能轮椅路径优化

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516243

Cheng Shen, Qiu-Ping Bi

引用次数: 0

A Review of Powered Backdrivability of Robot Actuators for Human-Robot Interaction 人机交互中机器人执行器的动力反驾驶性研究进展

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516160

Qinghao Du, Tuopu Zhang, Guilin Yang, Chin-Yin Chen, Weijun Wang, Chi Zhang

引用次数: 2

Achievable Rate of MIMO-OFDM VLC over Low-Pass Channels MIMO-OFDM VLC在低通信道上的可实现速率

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516387

Wenxiang Fan, T. Cunha, X. Deng, Yinan Niu, Jundao Mo, Chen Chen, J. Linnartz, Guofu Zhou

引用次数: 0

Formation control and obstacle avoidance of MAS with constraints of visibility and motion saturation 具有可视性和运动饱和度约束的MAS编队控制与避障

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516426

Ding Wenjie, W. Shaoping, Zhang Chao, Zhang Qing, M. B. Sial

{"title":"Formation control and obstacle avoidance of MAS with constraints of visibility and motion saturation","authors":"Ding Wenjie, W. Shaoping, Zhang Chao, Zhang Qing, M. B. Sial","doi":"10.1109/ICIEA51954.2021.9516426","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516426","url":null,"abstract":"This paper proposes a multi-agent formation and movement method based on the leader-follower architecture and visual sensor signals. This method uses a depth camera as the source of information perception in the leader's local environment. After image acquisition and image processing, the external environment information and the obstacle position signal are input into the leader's control system. The controller drives the actuator to avoid obstacles and complete the consistency under weak or without communication conditions Firstly, in view of the hardware limitations of the vision sensor itself, this paper analyzes the saturation constraints of field of view, and couples it with the motion constraints of the actual subject. Secondly, for the coupled constraints, a correction system is used in the design of the negative gradient control law based on the stress matrix. Finally, for the designed closed-loop control system, the stability analysis is carried out using the Lyapunov function, and the error in the modified control protocol is converged. Static and dynamic obstacle avoidance processes are represented by simulation in Matlab.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"18 1","pages":"2107-2113"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74033248","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

State Estimation of Lithium-Ion Battery at Different Temperatures Based on DEKF and RLS 基于DEKF和RLS的不同温度下锂离子电池状态估计

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516414

Qingtian Li, Haitao Chen, Sheng Cai, Lei Wang, Honghui Gu, Minxin Zheng

{"title":"State Estimation of Lithium-Ion Battery at Different Temperatures Based on DEKF and RLS","authors":"Qingtian Li, Haitao Chen, Sheng Cai, Lei Wang, Honghui Gu, Minxin Zheng","doi":"10.1109/ICIEA51954.2021.9516414","DOIUrl":"https://doi.org/10.1109/ICIEA51954.2021.9516414","url":null,"abstract":"Lithium-ion power battery is the power source of many electronic control systems. The battery state of charge (SOC) and state of health (SOH) are very important to the safety and reliability of the electronic system. Therefore, high-precision estimation of battery SOC and SOH has become one of the current research hotspots in the battery field. In order to realize the state estimation of lithium-ion power battery, an equivalent circuit model of lithium-ion power battery is established. This article is based on the HPPC pulse experiment data and the second-order Thevenin equivalent circuit model. At different temperatures (0°C, 25°C, 45°C), the recursive least square (RLS) method is used to identify of parameters of the equivalent model circuit. The state equation and measurement equation of the double extended Kalman filter (DEKF) algorithm are used to estimate SOC and SOH. Finally, this article uses experimental data of the single cell to estimate the battery state. The accuracy and adaptability of the combination of least squares algorithm and dual extended Kalman filter are verified. This is of great significance for improving the safety, reliability and economic benefits of the battery system.","PeriodicalId":6809,"journal":{"name":"2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA)","volume":"88 1","pages":"1619-1624"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77021391","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

A Fast Modeling Method using Limited Resources for 3D Campus 基于有限资源的三维校园快速建模方法

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516293

He Yu, Yu Liu, Bing Wang, Jiexi Chen, Zhenjie Ma

引用次数: 0

A Neutral-Point Potential Balanced Deadbeat Direct Torque Control Strategy of Post-Fault Three-Level NPC Inverter-Fed Induction Motor Drives 故障后三电平NPC逆变馈感应电机中性点电位平衡无拍直接转矩控制策略

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516382

Shu Cheng, Zhuoxin Li, Chaoqun Xiang, Lulin Zhang, Zekeng Ouyang

引用次数: 1

FPGA Controller Based Bidirectional CLLC Resonant Battery Charger 基于FPGA控制器的双向CLLC谐振电池充电器

2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA) Pub Date : 2021-08-01 DOI: 10.1109/ICIEA51954.2021.9516157

Yu Gao, Jianglin Nie, Jiangpeng Yang, Shuai Zhang, Tianxiang Wang, Zeliang Shu

引用次数: 1