发布求助
文献互助 智能选刊 最新文献

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

筛选
英文 中文
Design of a novel flexible assistive hand exoskeleton 一种新型柔性辅助手外骨骼的设计
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023871
Guotao Li, Long Cheng, Zhengrun Gao, Jilong Lu, Yanjiang Zhao
{"title":"Design of a novel flexible assistive hand exoskeleton","authors":"Guotao Li, Long Cheng, Zhengrun Gao, Jilong Lu, Yanjiang Zhao","doi":"10.1109/YAC57282.2022.10023871","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023871","url":null,"abstract":"Hand paralysis caused by stroke, spinal cord injury, or neurological trauma has a significant impact on the independence and quality of life of the patients. The hand exoskeleton can provide hand assistance and improve the patient’s grasp. In this article, a novel wearable flexible hand exoskeleton is proposed to assist users in activities of daily life. To create a simple and lightweight assistive hand exoskeleton, 3D printing is used to manufacture most of the components, and a remote drive system is designed to reduce the weight of the hand exoskeleton. A ball pair device and a slider device are used to ensure the freedom of the thumb and the adaptability of the hand exoskeleton to different hand sizes. Finally, the experiments are conducted to verify that the hand exoskeleton can achieve motion assistance.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128556651","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
Multi condition fault risk analysis and online plan generation method 多工况故障风险分析及在线方案生成方法
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023569
Z. Cui, Liang Gou, Yulin Zhao, Jian Tang, Yi Wang
{"title":"Multi condition fault risk analysis and online plan generation method","authors":"Z. Cui, Liang Gou, Yulin Zhao, Jian Tang, Yi Wang","doi":"10.1109/YAC57282.2022.10023569","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023569","url":null,"abstract":"Under the background of the rapid development of new energy, the increasing uncertainty of power grid operation, the urgent need for rapid fault risk disposal capability for dispatching operation, and the difficulty in meeting the requirements of the existing manual preparation plan, this paper comprehensively considers the power grid risks in a variety of condition, and based on the online real-time data of the power grid, proposes a method for online plan generation and display of strategy implementation results. This method overcomes the problems of single fault set construction mode, fuzzy fault disposal strategy description, not realizing quantitative analysis, unpredictable processing effect, and insufficient real-time of the plan, etc. The practical application shows that this method can effectively assist the dispatcher to take prevention and control measures in advance and improve the efficiency of accident disposal.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129924599","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
Input-to-state stabilization for a 2 × 2 hyperbolic system cascaded with an ODE 带ODE级联的2 × 2双曲系统的输入-状态镇定
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023826
Han-Wen Zhang, Jun‐min Wang, Junchang Wang
{"title":"Input-to-state stabilization for a 2 × 2 hyperbolic system cascaded with an ODE","authors":"Han-Wen Zhang, Jun‐min Wang, Junchang Wang","doi":"10.1109/YAC57282.2022.10023826","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023826","url":null,"abstract":"The paper deals with the input-to-state stabilization for the 2×2 system of first-order hyperbolic equations, which convect in opposite directions cascaded with an unstable ODE equation. First, an inverse backstepping transformation is introduced to obtain a target system. Then, by active disturbance rejection control (ADRC) method, the disturbance is estimated via a disturbance estimator with time-varying gain. When the unmatched disturbances are absent, the disturbance estimator is exponentially convergent to the matched disturbance. Furthermore, in order to reject the matched disturbance and obtain the input-to-state stability of the system, the controller is proposed by using the disturbance estimator. Finally, numerical simulations are presented to validate theoretical results.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130491352","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 seawater desalination operations based on online prediction of water load 基于水负荷在线预测的海水淡化作业优化
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023913
Minliang Gong, Yan-Long Qin
{"title":"Optimization of seawater desalination operations based on online prediction of water load","authors":"Minliang Gong, Yan-Long Qin","doi":"10.1109/YAC57282.2022.10023913","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023913","url":null,"abstract":"The influence of uncertain changes in factors such as large fluctuations in water load and operating environment makes it difficult to achieve the expected cost reduction target for the optimization of fixed water dispatching plan and conventional forecast water consumption method, so an operation optimization method of desalination system based on moving average forecasting method and online updating of water production capacity of actual water load is proposed. First, the mathematical mechanism model of the reverse osmosis desalination system is established, the variation characteristics of the 24-hour cycle are simulated according to the operating parameters, and the optimization proposition aiming at the lowest cost within 24 hours is obtained. Then, through the analysis of the historical water consumption and production data from seawater desalination system, predicted water production schedule for the day ahead, and the later water production plan is continuously updated based on the obtained real-time water consumption data and the moving average prediction method data. The optimization problem containing differential-algebraic equations is discretized into a non-linear programming problem through finite element configuration. Combined with the online update prediction of water consumption, the system’s reverse osmosis desalination process optimization operation strategy is given. Finally, a case study on the optimal operation of the reverse osmosis seawater desalination system is carried out to verify the validity of the method proposed in this paper. The data results show that the proposed operation optimization method based on the moving average prediction and online update of the actual water load can achieve obvious cost reduction effect.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123817374","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 Feedback Hierarchical Operation based Energy Management Strategy for Hybrid Electrical Vehicle 基于反馈分层操作的混合动力汽车能量管理策略
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023811
Yubo Zhang, L. Gao, Fangyuan Li
{"title":"A Feedback Hierarchical Operation based Energy Management Strategy for Hybrid Electrical Vehicle","authors":"Yubo Zhang, L. Gao, Fangyuan Li","doi":"10.1109/YAC57282.2022.10023811","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023811","url":null,"abstract":"Energy management strategy (EMS) is a key element for the total cost of hybrid electric vehicle (HEV). The total cost is composed of fuel and electric energy consumption of the HEV. In order to improve the economy of the vehicle significantly, the start-up cost of the internal combustion engine (ICE) and electric motor (EM) need to be considered adequately when studying the EMS. But, start-up cost is dependent on time, which makes it difficult to apply dynamic programming (DP) to the EMS. To make the start-up cost relatively easy to handle, the HEV control problem is converted to an optimal switch problem in this paper. Then, we proposes a feedback hierarchical operation (FHO) algorithm, which can get optimal schedule of HEV. In the end, simulations are presented to verify the effectiveness of the FHO algorithm.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123402517","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
Research on wireless charging system turn-off current control based on variable step size disturbance observation method 基于变步长扰动观测方法的无线充电系统关断电流控制研究
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023739
Jiahui Chen, Liyan Zhang, Qihong Chen
{"title":"Research on wireless charging system turn-off current control based on variable step size disturbance observation method","authors":"Jiahui Chen, Liyan Zhang, Qihong Chen","doi":"10.1109/YAC57282.2022.10023739","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023739","url":null,"abstract":"With the popularity of cars, Electric vehicles are widely used for people’s travel. The improvement of electric vehicle charging technology has been accompanied by the development of electric vehicles. This paper mainly aims at the realization of wireless charging soft switch to improve the wireless charging of electric vehicles. In this paper, the principle of static wireless charging system is analyzed, the working state of soft switch of primary side inverter is analyzed, and the condition of realizing soft switch is obtained. The curve of switching current value with frequency is obtained by MATLAB under the condition of coupling. On this basis, the variable step size disturbance observation method is proposed to control the inverter output turn-off current to realize the characteristics of soft switch and improve the inverter output voltage and current waveform. Finally, a 10kW static wireless charging simulation model is built in SIMULINK. And compared with the model without disturbance observation method, the adjustment of off current is realized, and the appropriate small off-current is found, therefore the soft switch is achieved.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121184772","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
Adaptive neural network dynamic surface control of hypersonic vehicle with variable geometry inlet 可变进气道高超声速飞行器自适应神经网络动态面控制
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023696
Qiu Mengqi, Hou Yanze, Liu Changxiu, Qiu Shaohua
{"title":"Adaptive neural network dynamic surface control of hypersonic vehicle with variable geometry inlet","authors":"Qiu Mengqi, Hou Yanze, Liu Changxiu, Qiu Shaohua","doi":"10.1109/YAC57282.2022.10023696","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023696","url":null,"abstract":"In this paper, a longitudinal model of hypersonic vehicle with variable geometry inlet is established. Because of the strict requirements for the angle of attack of the scramjet during the flight of the aircraft, the uncertainty introduced by the parameter fitting, the rotating lip cover in the longitudinal model, and the uncertain external interference of the aircraft. The dynamic surface control technology is used to design the angle of attack autopilot of the aircraft and the Radial basis function (RBF) neural network is used to realize the adaptive approximation of the uncertain part of the model, to suppress the interference and accurately track the instructions. Finally, the simulation results show that the method can effectively control the angle of attack of hypersonic vehicle with variable geometry inlet, meet the performance requirements and verify the correctness of the method.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114311398","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
Bearing-based formation tracking control within appointed convergence time 在指定收敛时间内基于方位的编队跟踪控制
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023900
Qi Liu, Kai Gao, Yongfang Liu, Yu Zhao
{"title":"Bearing-based formation tracking control within appointed convergence time","authors":"Qi Liu, Kai Gao, Yongfang Liu, Yu Zhao","doi":"10.1109/YAC57282.2022.10023900","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023900","url":null,"abstract":"Among the brief, the bearing-based rigid formation tracking control for multi-agent system within an appointed settling time has been researched thoroughly, where the communication topology is undirected and the dynamics equation for each agent are modeled as a first-order integrator. Firstly, according to the relevant knowledge of optimal control, a distributed controller is designed for each follower to form a target configuration at an appointed time. Then, the global convergence of the designed controller is strictly proved through the convergence analysis of each sampling time and each sampling interval. It is worth noting that this appointed time is arbitrary, and the initial states of several leaders can uniquely determine the target configuration. Finally, the rationality of the constructed controller is demonstrated through a numerical simulation.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114814923","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
Nussbaum-Functions-Based Bipartite Tracking Control Using ABOS for Stochastic Nonlinear Systems With Nonaffine Structure 非仿射结构随机非线性系统的基于nussbaum函数的二部跟踪控制
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023809
Chaoda Liu, Ben Niu, Xinjun Wang, Wendi Chen, Huichuan Duan
{"title":"Nussbaum-Functions-Based Bipartite Tracking Control Using ABOS for Stochastic Nonlinear Systems With Nonaffine Structure","authors":"Chaoda Liu, Ben Niu, Xinjun Wang, Wendi Chen, Huichuan Duan","doi":"10.1109/YAC57282.2022.10023809","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023809","url":null,"abstract":"The adaptive bipartite tracking control problem of multi-agents stochastic nonlinear systems with nonaffine structure is solved. The agents bipartition optimization strategy (ABOS) is proposed in order to achieve the bipartite tracking control objective of the systems that we consider in this paper. Then, the unknown control gains are handled by introducing Nussbaum functions. In addition, an appropriate event-triggered control mechanism is introduced to avoid the waste of communication resources among agents. Finally, the simulation example shows the effectiveness of the proposed design scheme.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124295228","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
Graph-QMIX: Addressing the Partial Observation Issues via Graph Neural Network in Multi-Agent Reinforcement Learning Graph- qmix:用图神经网络解决多智能体强化学习中的局部观察问题
2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI: 10.1109/YAC57282.2022.10023781
Duoning Pan, Dou An, Ruining Zhang
{"title":"Graph-QMIX: Addressing the Partial Observation Issues via Graph Neural Network in Multi-Agent Reinforcement Learning","authors":"Duoning Pan, Dou An, Ruining Zhang","doi":"10.1109/YAC57282.2022.10023781","DOIUrl":"https://doi.org/10.1109/YAC57282.2022.10023781","url":null,"abstract":"In recent years, with the development of multiagent reinforcement learning, more and more complex tasks have been solved. However, today’s multi-agent reinforcement learning faces two challenges: 1) the global state is always used to train the neural network, which is hard to obtain in the real-world; 2) compared to the global state, concatenating local observations decreases the performance of multi-agent reinforcement learning algorithms. These challenges make it difficult to apply multi-agent reinforcement learning algorithms in real-world scenarios. To solve these challenges, we proposed the Graph-QMIX algorithm, where all agents are seen as a graph, and the graph convolutional neural network is used to integrate the local observations of the agents. We evaluate our method in map 2s vs lsc and map 10m vs 11m of SMAC environment. Empirically simulation results show that our method reaches a strong performance as much as QMIX using the global state, and is much stronger than QMIX using the concatenating local observations.","PeriodicalId":272227,"journal":{"name":"2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124302224","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信