2014 IEEE International Conference on Control Science and Systems Engineering最新文献_第5页

A deadlock prevention policy for FMS based on time constraints 基于时间约束的FMS死锁预防策略

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI: 10.1109/CCSSE.2014.7224520

Jinwei Guo, Jing-jun Fan

引用次数: 0

Digital control system of high frequency bipolar pulse power supply for acid pickling process 酸洗过程高频双极脉冲电源数字控制系统

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI: 10.1109/CCSSE.2014.7224509

Yang Kai, Yang Guang, Cao Biao, Huang Zenghao

{"title":"Digital control system of high frequency bipolar pulse power supply for acid pickling process","authors":"Yang Kai, Yang Guang, Cao Biao, Huang Zenghao","doi":"10.1109/CCSSE.2014.7224509","DOIUrl":"https://doi.org/10.1109/CCSSE.2014.7224509","url":null,"abstract":"Acid pickling is one of the industrial processes used for removal of scales. To overcome some severe problems when using aggressive acids, such as corrosion of metallic substrates and hydrogen embrittlement phenomenon, a digital control system of high frequency bipolar pulse power supply has been designed. The load characteristic of the acid pickling system is analyzed and the corresponding output current waveform scheme has been put forward. The main circuit topology, which is on the basis of two-stage inverter structure, and its working principle are described. A digital control system based on digital signal processor (DSP) is proposed. Control schemes of inverter circuits and control algorithm are also explained in detail. A prototype with a peak output power up to 15 kW has been constructed and tested. The power source can output anodic direct current (DC), high frequency bipolar pulse and cathodic DC waveforms. The pulses have a repetition rate up to 10 kHz, and the current pulse is influenced by loop electrical parameters. The experimental results demonstrate that the high frequency bipolar pulses are very effective for acid pickling of steel.","PeriodicalId":251022,"journal":{"name":"2014 IEEE International Conference on Control Science and Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131365573","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

3D stereoscopic measurements from AR Drone Squadron 来自AR无人机中队的3D立体测量

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI: 10.1109/CCSSE.2014.7224501

R. Schurig, T. Desesquelles, A. Dumont, E. Lefranc, A. Lux

引用次数: 4

Design of heterogeneous FC-AE-1553 network FC-AE-1553异构网络的设计

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI: 10.1109/CCSSE.2014.7224523

Fang Liang, Zhao Guang-heng, Cao Su-zhi

引用次数: 4

Adaptive target birth intensity for Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter 高斯混合概率假设密度(GM-PHD)滤波的自适应目标出生强度

2014 IEEE International Conference on Control Science and Systems Engineering Pub Date : 2014-12-01 DOI: 10.1109/CCSSE.2014.7224504

Yan Cang, Di Chen, Weijin Sun

{"title":"Adaptive target birth intensity for Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter","authors":"Yan Cang, Di Chen, Weijin Sun","doi":"10.1109/CCSSE.2014.7224504","DOIUrl":"https://doi.org/10.1109/CCSSE.2014.7224504","url":null,"abstract":"In standard formulation of Gaussian Mixture Probability Hypothesis Density (GM-PHD) filter, the newborn target intensity function is regarded as a known prior probability. This assumption limited the application in practice. An improved method is proposed based on the standard GMPHD by introducing logicals to differentiate two types of targets, called UGM-PHD filter. In the prediction step, if the logicals is equal to one, newborn targets are created from the received measurements at each scan. While in another situation, the intensity function corresponding to the both types of targets are added together and predicted jointly as same as the prediction step of persistent targets in the traditional GMPHD. Then in the update step, only the updated intensity function of persistent targets is concerned, since the updated weight of new targets will not exceed the output threshold. In this way, the target birth intensity can be obtained adaptively. By comparing the improved method with the traditional GM-PHD method, the simulation results show that the former improves the ability of searching newborn targets and the estimation accuracy of the number of targets.","PeriodicalId":251022,"journal":{"name":"2014 IEEE International Conference on Control Science and Systems Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128459318","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: 2