2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)最新文献

Anti-Saturation Attitude Tracking Control for Spacecraft with Flexible Performance 柔性航天器抗饱和姿态跟踪控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128102

Yi-Qun Xu, Bin Song, Q. Hu

引用次数: 0

Control of Chaos in Permanent-Magnet Synchronous Motor Based on Equivalent-Input-Disturbance Approach 基于等效输入扰动法的永磁同步电机混沌控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128082

X. Yin, Yuntao Shi, Daqian Liu, Gang Li

引用次数: 0

Design and Control of Optical Path Switching Device in Image-spectrum Coordination Detection System 像谱协调检测系统中光路开关器件的设计与控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128016

Xiangyan Liu, Xiangyang Zhou, Qiaoling Ji, Feng Wang

{"title":"Design and Control of Optical Path Switching Device in Image-spectrum Coordination Detection System","authors":"Xiangyan Liu, Xiangyang Zhou, Qiaoling Ji, Feng Wang","doi":"10.1109/ICPS58381.2023.10128016","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128016","url":null,"abstract":"The existing image-non-imaging-spectrum system directly divides the incident light into two beams of medium wave band and long wave band. These two bands are used for imaging and spectra measuring respectively, and then carrying out target tracking and recognition. When the detection distance is relatively close and the area of the target in the image is relatively large, image information is enough to complete the target tracking and recognition, and it is unnecessary to measure the spectra at the same time. In view of the characteristics of the existing image-spectrum integrated system, this paper plans to study an intelligent optical path switching device to replace the spectroscope of the existing image-spectrum integrated system. This device can automatically switch optical path of the system to the straight-through or spectroscopic state, so that the system can be manually or automatically set the detection modes, image or image-spectrum mode. Such a system can be compatible with the functions of existing image-spectrum integrated system, making the system functions more flexible and powerful. In this paper, the structure and spectroscope of the optical path switching device are designed. And the control of up-down motion of the spectroscope is simulated.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125517413","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

Cluster consensus control for general linear systems with arbitrary convergence time 具有任意收敛时间的一般线性系统的聚类一致控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128080

Lu Ren, Xiaofeng Li, Mengwei Sun, Dongbin Zhao

引用次数: 0

Events-Based Model Predictive Control for Polytopic Uncertain Systems Under False Data Injection Attacks 伪数据注入攻击下多面体不确定系统的事件模型预测控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128000

Fan Wei, Chao Zhang, Xiongbo Wan

引用次数: 0

Incipient Fault Diagnosis of IGBT Drive Circuit Based on EWT-ResNet 基于EWT-ResNet的IGBT驱动电路早期故障诊断

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128013

Hao Wu, Cunyuan Qian

{"title":"Incipient Fault Diagnosis of IGBT Drive Circuit Based on EWT-ResNet","authors":"Hao Wu, Cunyuan Qian","doi":"10.1109/ICPS58381.2023.10128013","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128013","url":null,"abstract":"The operation of the Insulated Gate Bipolar Transistor (IGBT) is closely related to the operating state of the drive circuit. Based on the theory of analog circuit fault diagnosis, this paper proposed an incipient fault diagnosis method combing Empirical Wavelet Transform (EWT) and Residual Network (ResNet) for IGBT drive circuit which has an EXB-841 driver module as the core. Firstly, the drive circuit was divided into the driving function (DF) part and the short-circuit protection (SP) part according to its working principle and basic structure. And the sensitivity analysis was performed on all the main components in both sections to select the test objects. Secondly, the circuit signals were obtained by fault injection and Monte Carlo analysis and then decomposed by improved EWT based on Scale Space (SS) to construct the datasets. Finally, based on the structure of ResNet18, 1D-ResNet was established and trained on the collected datasets to achieve deep feature extraction and fault classification. Simulation results show that the incipient fault diagnosis accuracy of DF part and SP part is 99.55% and 97.55% respectively.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128478003","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

Extended Fast Relevance Vector Regression based Pollutant Concentrations Prediction for Biomass Cogeneration Systems 基于扩展快速相关向量回归的生物质热电联产系统污染物浓度预测

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128103

Zhifei Sun, Xiuli Wang, Defeng He

{"title":"Extended Fast Relevance Vector Regression based Pollutant Concentrations Prediction for Biomass Cogeneration Systems","authors":"Zhifei Sun, Xiuli Wang, Defeng He","doi":"10.1109/ICPS58381.2023.10128103","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128103","url":null,"abstract":"Accurate and reliable prediction of pollutant emission concentrations from biomass cogeneration systems is critical to improving energy efficiency and reducing environmental pollution. The Relevance Vector Regression (RVR) algorithm, with its strong ability to represent stochastic uncertainty, has become an effective method for pollutant concentration prediction in biomass cogeneration systems. However, the classical RVR algorithm is mainly used for univariate prediction and has good prediction results only for small sample data. In order to address the problems of biomass cogeneration systems with far more than one pollutant and large data sets, a prediction model based on an improved Fast Relevance Vector Regression (FRVR) algorithm is proposed in this paper. Specifically, the model is divided into two parts with different methods: a K-means method to partition the dataset and a prediction based on an improved FRVR algorithm. First, the K-means method is used to divide the large data set into smaller data sets so that the prediction model can better extract all the useful information from the original data. Second, the FRVR algorithm is extended to multivariate output to achieve simultaneous prediction of multiple pollutant concentration. Finally, the experimental results verified that the proposed algorithm has great performance in the pollutant concentrations prediction of biomass cogeneration systems.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121009139","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

Edge-enabled Zero Trust Architecture for ICPS with Spatial and Temporal Granularity 具有空间和时间粒度的ICPS边缘启用零信任架构

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10127999

Wenxin Lei, Zhibo Pang, Hong Wen, Wenjing Hou, Xiaoling Zhang

引用次数: 0

Distributed Output-Feedback Secure Platoon Control for Connected Vehicle Systems with Sensor-Actuator Attacks 受传感器-执行器攻击的联网车辆系统分布式输出反馈安全排控制

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10127995

Lin He, Xin Wang, Xin Li, Xian Zhang

引用次数: 0

Evaluation and Comparison of Three Fuel Optimal Impulsive Control Strategies for Satellite Formation Reconfiguration 卫星编队重构中三种燃料最优脉冲控制策略的评价与比较

2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS) Pub Date : 2023-05-08 DOI: 10.1109/ICPS58381.2023.10128106

Lu Bai, Chengxi Zhang, Jihe Wang

{"title":"Evaluation and Comparison of Three Fuel Optimal Impulsive Control Strategies for Satellite Formation Reconfiguration","authors":"Lu Bai, Chengxi Zhang, Jihe Wang","doi":"10.1109/ICPS58381.2023.10128106","DOIUrl":"https://doi.org/10.1109/ICPS58381.2023.10128106","url":null,"abstract":"The evaluation and comparison of three formation impulsive control schemes for satellite formation reconfiguration are researched by numerical simulations with the same conditions. These formation reconfiguration control strategies are Standard formation reconfiguration scheme using asynchronous method (SFRA), extended formation reconfiguration scheme using asynchronous method (EFRA), and Standard formation reconfiguration with synchronous way (SFRS). The total fuel consumptions and reconfiguration times of three reconfiguration algorithms are compared by numerical simulations. Through the evaluation and comparison of the three methods, the results show that both the SFRA and EFRA strategies have analytical solutions, as a result their calculation amount is relatively small, and they are simple and efficient for on board application. However, SFRS adopts numerical optimization method, which requires a large amount of calculation. By comparing the reconstruction times of the three methods, the conclusion is as follows: SFRA and EFRA have the same reconfiguration time, while the reconfiguration time of SFRS is the shortest. The comparison of fuel consumption shows that the fuel consumption of EFRA is the least; SFRA has the less fuel consumption, and SFRS has the most fuel consumption.","PeriodicalId":426122,"journal":{"name":"2023 IEEE 6th International Conference on Industrial Cyber-Physical Systems (ICPS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115082044","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