Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619598
Jing Xue, Y. Fu, Zhufeng Li, Yunbin Shao
Aim. The full paper begins with a review on structure and main shortcoming of existing hydraulic pump, resulting in, in our opinion, the conclusion that it is absolutely essential to study on the Electro-Hydraulic Pump(EHP), a highly integration of electric motor and hydraulic pump. We now present a model how to get temperature field of our design plunger EHP that we believe that it can much better develop the EHP. In the full paper, we explain our method in some detail; in this abstract, we just add some pertinent remarks to naming the topics, such as motor thermal model, the fluid model and the heat conduction model. We discuss the temperature distribution under the condition of relationship among the oil film thickness, overall efficiency, leakage and cooling capacity. Finally we perform simulations in ANSYS. The simulation results, shown in the full paper, show preliminarily that our method for the temperature field is efficient to design the EHP.
{"title":"The finite element model of transient temperature field of Electro-Hydraulic Pump","authors":"Jing Xue, Y. Fu, Zhufeng Li, Yunbin Shao","doi":"10.1109/ICVES.2013.6619598","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619598","url":null,"abstract":"Aim. The full paper begins with a review on structure and main shortcoming of existing hydraulic pump, resulting in, in our opinion, the conclusion that it is absolutely essential to study on the Electro-Hydraulic Pump(EHP), a highly integration of electric motor and hydraulic pump. We now present a model how to get temperature field of our design plunger EHP that we believe that it can much better develop the EHP. In the full paper, we explain our method in some detail; in this abstract, we just add some pertinent remarks to naming the topics, such as motor thermal model, the fluid model and the heat conduction model. We discuss the temperature distribution under the condition of relationship among the oil film thickness, overall efficiency, leakage and cooling capacity. Finally we perform simulations in ANSYS. The simulation results, shown in the full paper, show preliminarily that our method for the temperature field is efficient to design the EHP.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579517","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619626
Yukun Xu, Xue Liang, Guangru Zhang, Qingqi Zhao, Bo Hu
A novel multi-agent particle swarm optimization algorithm (MAPSO) is proposed for power load control system in this paper, which regards the large number of highly decentralized regional power load as the rotating adjustable energy power resource to reduce peak or fill valley. The algorithm doesn't only have the advantage of agent to self-government to update its own state, but also has the advantage of the particle swarm to achieve the optimal state quickly. Avoid the disadvantage other optimization such as algorithm modeling complex, computing speed slowly. The application indicates that the effectiveness of the method.
{"title":"The research of electric load control system based on MAPSO algorithm","authors":"Yukun Xu, Xue Liang, Guangru Zhang, Qingqi Zhao, Bo Hu","doi":"10.1109/ICVES.2013.6619626","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619626","url":null,"abstract":"A novel multi-agent particle swarm optimization algorithm (MAPSO) is proposed for power load control system in this paper, which regards the large number of highly decentralized regional power load as the rotating adjustable energy power resource to reduce peak or fill valley. The algorithm doesn't only have the advantage of agent to self-government to update its own state, but also has the advantage of the particle swarm to achieve the optimal state quickly. Avoid the disadvantage other optimization such as algorithm modeling complex, computing speed slowly. The application indicates that the effectiveness of the method.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127815258","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619628
Qingqi Zhao, Yao Zhang, Yi Yang
Power grid fault diagnosis is an important means to guarantee the safe and stable operation of power system. This paper presents a multi-layers fault diagnosis method in order to achieve to judge fault components accurately and rapidly. The multi-layers fault diagnosis system is divided into switch layer diagnosis, feeder layer diagnosis and substation layer diagnosis. Using this method can not only diagnose simple and complex faults, but also judge fault type, fault phase and fault location. It provides a reliable guarantee to cut failure and restore operation quickly for operation personnel.
{"title":"Multi-layers fault diagnosis method based on multi-source information","authors":"Qingqi Zhao, Yao Zhang, Yi Yang","doi":"10.1109/ICVES.2013.6619628","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619628","url":null,"abstract":"Power grid fault diagnosis is an important means to guarantee the safe and stable operation of power system. This paper presents a multi-layers fault diagnosis method in order to achieve to judge fault components accurately and rapidly. The multi-layers fault diagnosis system is divided into switch layer diagnosis, feeder layer diagnosis and substation layer diagnosis. Using this method can not only diagnose simple and complex faults, but also judge fault type, fault phase and fault location. It provides a reliable guarantee to cut failure and restore operation quickly for operation personnel.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124278141","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619634
Nan Wang, G. Lu, X. Peng, Yingkai Cai
DC-DC inverter is a strong nonlinear systems, in the course of the parameter changing, the inverter would process period doubling bifurcation, torus bifurcation and saddle-node bifurcation, at last getting in chaotic state embedded with many unstable periodic orbits which will make the inverter turn into the chaotic state from the original stable operation mode. In this paper, in order to overcome the chaotic motion or the random motion in the inverter to eliminate the unstable factors achieving stable mode, we use the delayed feedback control method to realize a useful control of the inverter.
{"title":"A research on time delay feedback control performance in chaotic system of DC-DC inverter","authors":"Nan Wang, G. Lu, X. Peng, Yingkai Cai","doi":"10.1109/ICVES.2013.6619634","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619634","url":null,"abstract":"DC-DC inverter is a strong nonlinear systems, in the course of the parameter changing, the inverter would process period doubling bifurcation, torus bifurcation and saddle-node bifurcation, at last getting in chaotic state embedded with many unstable periodic orbits which will make the inverter turn into the chaotic state from the original stable operation mode. In this paper, in order to overcome the chaotic motion or the random motion in the inverter to eliminate the unstable factors achieving stable mode, we use the delayed feedback control method to realize a useful control of the inverter.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127434665","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619630
X. Peng, Nan Wang, Haifeng Wang, Qingqi Zhao
The researches on the analysis of the fractional order PIλDμ such as the complex frequency domain method, plane root locus method and spatial root locus method, mostly applied on classic controlling situation, meanwhile for nonlinear system it is hard to build complete accurate mathematical model of complex systems. So in order to solve such problems, many improved self-regulating and self-adaption with PID controllers emerged. With fuzzy adaptive PID control algorithm greatly developed, in this paper we came up with a control method based on the fuzzy control fractional order PIλDμ controller.
{"title":"The intelligent control analysis of a fuzzy fractional order controller","authors":"X. Peng, Nan Wang, Haifeng Wang, Qingqi Zhao","doi":"10.1109/ICVES.2013.6619630","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619630","url":null,"abstract":"The researches on the analysis of the fractional order PI<sup>λ</sup>D<sup>μ</sup> such as the complex frequency domain method, plane root locus method and spatial root locus method, mostly applied on classic controlling situation, meanwhile for nonlinear system it is hard to build complete accurate mathematical model of complex systems. So in order to solve such problems, many improved self-regulating and self-adaption with PID controllers emerged. With fuzzy adaptive PID control algorithm greatly developed, in this paper we came up with a control method based on the fuzzy control fractional order PI<sup>λ</sup>D<sup>μ</sup> controller.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116399090","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2018.8519517
Michael Hartmann, A. Ferrara, D. Watzenig
It is a challenge to find safe trajectories for automated vehicles. Especially in urban environments with pedestrians there are many different situations. The prediction of future movements with 100% certainty is impossible, if the intention of the pedestrian is unknown. In this paper, reachability analysis is used based on historical movement data. A state of the art motion planning approach with Mixed-Integer Linear optimization (MILP) is used for the trajectory planning of the vehicle. This approach can also be used for cooperative vehicle systems, with historical movement data in a fixed urban environment (e.g. intersection). The advantage of this approach is that prior knowledge can be incorporated in the reachability analysis, and the computional load is scalable.
{"title":"Data-based reachability analysis for movement prediction of pedestrians and motion planning","authors":"Michael Hartmann, A. Ferrara, D. Watzenig","doi":"10.1109/ICVES.2018.8519517","DOIUrl":"https://doi.org/10.1109/ICVES.2018.8519517","url":null,"abstract":"It is a challenge to find safe trajectories for automated vehicles. Especially in urban environments with pedestrians there are many different situations. The prediction of future movements with 100% certainty is impossible, if the intention of the pedestrian is unknown. In this paper, reachability analysis is used based on historical movement data. A state of the art motion planning approach with Mixed-Integer Linear optimization (MILP) is used for the trajectory planning of the vehicle. This approach can also be used for cooperative vehicle systems, with historical movement data in a fixed urban environment (e.g. intersection). The advantage of this approach is that prior knowledge can be incorporated in the reachability analysis, and the computional load is scalable.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115418777","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}
Pub Date : 1900-01-01DOI: 10.1109/ICVES.2013.6619646
Baoming Hou, Xuena Liu
For enhancing the speed of reconstruction and simplification of 3D mesh model, and improving the simplification effect, half-edge data structure is adopted. During the topological reconstruction process, the time complexity is reduced by using an additional index table. By calculating the normal variance and maximum deviation of triangular facets connected to a vertex to determine the important degree of the vertex, and adding it to QEM as weights. Compared with the Garland algorithm, the use of half-edge structure can directly gain the adjacency relation, and accelerate the speed of the model simplification. Experiment shows that new error metric formula can exactly measure the simplification error, the simplification speed and the effect of the model are both satisfied.
{"title":"The rapid topological reconstruction of 3D-solid and simplification of weighted QEM","authors":"Baoming Hou, Xuena Liu","doi":"10.1109/ICVES.2013.6619646","DOIUrl":"https://doi.org/10.1109/ICVES.2013.6619646","url":null,"abstract":"For enhancing the speed of reconstruction and simplification of 3D mesh model, and improving the simplification effect, half-edge data structure is adopted. During the topological reconstruction process, the time complexity is reduced by using an additional index table. By calculating the normal variance and maximum deviation of triangular facets connected to a vertex to determine the important degree of the vertex, and adding it to QEM as weights. Compared with the Garland algorithm, the use of half-edge structure can directly gain the adjacency relation, and accelerate the speed of the model simplification. Experiment shows that new error metric formula can exactly measure the simplification error, the simplification speed and the effect of the model are both satisfied.","PeriodicalId":151322,"journal":{"name":"International Conference on Vehicular Electronics and Safety","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125723382","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}
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