2021 33rd Chinese Control and Decision Conference (CCDC)最新文献_第7页

Research on Fault Tolerant Algorithm of SINS/BDS/GPS Integrated Navigation System SINS/BDS/GPS组合导航系统容错算法研究

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601635

Lu Wang, Xin Zhao, Quanhu Li, Wei Kang

引用次数: 1

Modeling of aero-engine starting process based on rising rate of rotating speed 基于转速上升率的航空发动机起动过程建模

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602555

Binbin Hao, Tao Qu, Yuanwei Jing

引用次数: 1

Open-Circuit Fault Diagnosis of Voltage Source Inverters for PMSM Drive System using Sine-Wave Injection Method 基于正弦波注入法的PMSM驱动系统电压源逆变器开路故障诊断

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602218

Jiajiang Sun, Qiong Zhu, Yang Zhou, Jin Zhao

引用次数: 0

Automatic Train Regulation with Time Tuning and Holding Control under the Saturated Passenger Demand Condition 旅客需求饱和条件下列车时间调整与保持控制的自动调节

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602227

Z. Hou, Min Zhou, Lingbin Ning, Hai-rong Dong

{"title":"Automatic Train Regulation with Time Tuning and Holding Control under the Saturated Passenger Demand Condition","authors":"Z. Hou, Min Zhou, Lingbin Ning, Hai-rong Dong","doi":"10.1109/CCDC52312.2021.9602227","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602227","url":null,"abstract":"For urban mass transit systems in the saturated passenger flow situation, the normal operation of trains might be disturbed by the unexpected disturbance. A large bunch of passengers might be stranded on platforms due to service gaps and the limited free capacity of trains. In this paper, we develop an automatic train regulation model which integrates two different regulation strategies and considers the pre-set automatic train operation (ATO) recommended speed profile. More specifically, a mixed integer programming (MIP) model is proposed which aims to jointly reduce the total train delay and the number of stranded passengers. We consider a train holding strategy to futher balance the interval of two consecutive trains which can reduce the number of stranded passengers on the platform. Then, a state-of-the-art mathematical solver CPLEX is adopted to solve the problem, which can obtain trade-off solutions in a reasonable time. Finally, two experiments based on the operational data of the Beijing Subway Yizhuang Line are carried out to verify the effectiveness of the proposed approach.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483596","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

LMI-Based Criterion for Global Mittag-Leffler Synchronization of Discrete-time Fractional-Order Complex-Valued Neural Networks with Time Delay 基于lmi的离散时滞分数阶复值神经网络全局Mittag-Leffler同步准则

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602625

Xingxing You, S. Dian, Kai Liu, Guofei Xiang, Bin Guo, Haipeng Wang, Xu Zhang

引用次数: 0

A Low-cost Tractor Navigation System with Changing Speed Adaptability 一种低成本变速自适应牵引车导航系统

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601791

Hao Wang, Wenxiang Niu, Weiqiang Fu, Yaxin Ren, Shupeng Hu, Zhijun Meng

{"title":"A Low-cost Tractor Navigation System with Changing Speed Adaptability","authors":"Hao Wang, Wenxiang Niu, Weiqiang Fu, Yaxin Ren, Shupeng Hu, Zhijun Meng","doi":"10.1109/CCDC52312.2021.9601791","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601791","url":null,"abstract":"An auto-navigation system with variant speed adaptability is developed to improve the robustness of the autonomous agricultural machinery. Based on a commercial agricultural tractor, New Holland 1404, an RTK-GNSS based autonomous navigation system is presented in this research. The system consists of a dual-antenna GNSS receiver with centimeter-level positioning accuracy, an on-board computer, an electronic steering wheel, a steering angle sensor, and so on. A vehicle control unit is designed to analyze the driver operations, to transmit the commands to actuators, and to broadcast tractor statuses following the ISO 11783 protocol. The control algorithm is modified from the pure pursuit path tracking method using a vehicle dynamic model with slip angle. The look-ahead distance of the pure pursuit method is adaptive to the vehicle speed. On the farmland at 4.5m/s speed limitation, the lateral error is about 3.3 cm. Experiments reveal that the proposed auto-navigation algorithm with adaptive look-ahead distance is robust to variant working conditions. In addition, consistent operation accuracy is achieved by the speed adaptive path tracking algorithm and updated vehicle parameters during headland turn. The navigation system is evaluated in auto-steering mode and fully autonomous mode. It has been proved to be a cost-efficient solution for controlling a conventional tractor.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114746133","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

Many-objective Evolutionary Algorithm Based on Distance Dominance Relation 基于距离优势关系的多目标进化算法

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602407

Qinghua Gu, Qingsong Xu

{"title":"Many-objective Evolutionary Algorithm Based on Distance Dominance Relation","authors":"Qinghua Gu, Qingsong Xu","doi":"10.1109/CCDC52312.2021.9602407","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602407","url":null,"abstract":"There are two main aspects of research in multi-objective optimization algorithm, namely, convergence and diversity. While, it is difficult for original algorithms to maintain the diversity of solutions in the high-dimensional objective space. In order to enhance the diversity of algorithms in many-objective optimization problems, a new distance dominance relation is proposed in this paper. First, in order to ensure the convergence of the algorithm, the distance dominance relation calculates the distance from the candidate solution to the ideal point as the fitness value, and selects the candidate solution with good fitness value as the non-dominant solution. Then, in order to enhance the diversity of the algorithm, the distance dominance relation sets each candidate solution to have the same niche and ensures that only one optimal solution is retained in the same territory. Finally, the VaEA algorithm is improved based on the proposed distance dominance relation. On the DTLZ and IDTLZ test of 5–15 dimensional targets, the improved algorithm is compared with six commonly used algorithms. The experimental results show that the improved algorithm is highly competitive and can significantly enhance the diversity of the algorithm.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114816988","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

Change Trend Mutation Point Analysis of Operational Effectiveness of Equipment Systems 装备系统作战效能变化趋势突变点分析

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9601852

Ke Hongfa, Chen Jiahui

{"title":"Change Trend Mutation Point Analysis of Operational Effectiveness of Equipment Systems","authors":"Ke Hongfa, Chen Jiahui","doi":"10.1109/CCDC52312.2021.9601852","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9601852","url":null,"abstract":"Change trend law of operational effectiveness is an important basis of weapon equipment system. Research on the trend mutation point of the operational effectiveness data sequence of the equipment system was studied based on the two-dimensional regression mutation analysis method. Combined with data analysis on interconnection and interoperability of equipment system, reconnaissance ability, and command and control levels, the response relationship was found out between the trend mutation in the operational effectiveness of the equipment system and interconnection and interoperability of equipment systems, reconnaissance ability, and command and control levels etc. The analysis results not only show that the operational effectiveness of the weapon equipment system is related to interconnection and interoperability of equipment systems, reconnaissance ability, and command and control levels closely, but also quantify the position of the trend break in the degree of influence. This method provides a new way for the quantitative analysis of the operational effectiveness of the weapon equipment system and its influencing factors.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"3 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124295254","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

Lightweight RFID Authentication Protocol for Cloud Services using PUF Encryption 使用PUF加密的云服务轻量级RFID认证协议

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602061

Qiao Ye, Ziwen Sun

引用次数: 2

The coverage optimization for underwater sensor networks based on SAPSO algorithm 基于SAPSO算法的水下传感器网络覆盖优化

2021 33rd Chinese Control and Decision Conference (CCDC) Pub Date : 2021-05-22 DOI: 10.1109/CCDC52312.2021.9602728

Xiaobin Gai, Yifan Hu, Pengfei Li

{"title":"The coverage optimization for underwater sensor networks based on SAPSO algorithm","authors":"Xiaobin Gai, Yifan Hu, Pengfei Li","doi":"10.1109/CCDC52312.2021.9602728","DOIUrl":"https://doi.org/10.1109/CCDC52312.2021.9602728","url":null,"abstract":"The coverage of underwater sensor network (UWSN) is a basic problem of underwater wireless sensor network, which is related to the integrity and accuracy of underwater sensor network data collection for target monitoring area. In addition, the working environment of underwater sensor nodes is often harsh and the influencing factors are complex, which is not convenient for frequent battery replacement. Therefore, optimizing the coverage of underwater sensor networks can effectively improve the monitoring quality and lifetime of UWSN. Aiming at the shortcomings of previous coverage optimization algorithms, such as easy to fall into the local optimal solution, complex parameters and slow convergence speed, this paper proposes a simulated annealing particle swarm optimization algorithm (SAPSO), which improves the particle swarm optimization algorithm (PSO) by introducing simulated annealing algorithm, so that the algorithm can maintain a faster convergence speed and overcome the shortcomings of PSO algorithm easy to fall into the local optimal solution, so as to improve the coverage of underwater sensor networks, It also makes the distribution of nodes more uniform and reduces the network energy consumption. Simulation results show that SAPSO algorithm can effectively improve the coverage rate of target monitoring area, reduce the redundancy of node coverage and reduce the network energy consumption.","PeriodicalId":143976,"journal":{"name":"2021 33rd Chinese Control and Decision Conference (CCDC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124336059","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