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33 results on '"Wang, Xuyong"'

3. Numerical simulation of temperature field of a new type of freezing device under seepage effect.

Author

Yang, Ning, Wang, Xuyong, and Ren, Jixun

Subjects
*DARCY'S law, *FREEZING, *COMPUTER simulation, *POROUS materials, *FREEZE-thaw cycles, *SOIL temperature
Abstract

In order to investigate the development of the temperature field of a new type of freezing reinforcement under seepage conditions, in this paper, COMSOL finite element software was used to simplify the model and simulate the effect of groundwater seepage on the development of the temperature field of frozen pipes by coupling the Darcy's law module and the heat transfer module for porous media. The heads of water were also varied to simulate the change in seepage velocity to further investigate the effect of seepage velocity on the temperature field. The results of the study show that the freezing wall formed in the high head region was thinner than that in the low head region due to the effect of seepage, and this phenomenon was aggravated with the increase of seepage rate; The effect of seepage action on the temperature field had a hysteresis along the seepage direction; When the seepage rate was greater than 1.65 m/d, the soil in the center of the device feezed better and could form a tight and dense freezing wall comparable to the size of the freezing device; When the seepage rate was greater than 5.78 m/d, the temperature of the center soil body gradually increased, and eventually the freezing curtain cannot be formed. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Design and Experimental Research on a Fast Zero-Finding Algorithm Based on the Incremental Angle Encoder

Author

Miao, Zhonghua, Wang, Xuyong, Liu, Chengliang, Zhu, Xiaojin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Liu, Honghai, editor, Ding, Han, editor, Xiong, Zhenhua, editor, and Zhu, Xiangyang, editor

Published
2010
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12. A novel multi-objective co-evolutionary algorithm based on decomposition approach

Author

Qiuzhen Lin, Jianyong Chen, Zhong Ming, Wang Xuyong, Zhengping Liang, and Fei Chen

Subjects
0209 industrial biotechnology, Mathematical optimization, Optimization problem, Computer science, MathematicsofComputing_NUMERICALANALYSIS, Evolutionary algorithm, Particle swarm optimization, 02 engineering and technology, Computational resource, 020901 industrial engineering & automation, Operator (computer programming), Differential evolution, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), Decomposition (computer science), 020201 artificial intelligence & image processing, Software
Abstract

Recently, co-evolution mechanism is exploited to solve multi-objective optimization problems by using multiple subpopulations on a cooperative manner, such as co-evolutionary multi-swarm particle swarm optimization (CMPSO) based on the multiple subpopulations for multi-objective optimization (MPMO) framework, which is also extended to cooperative multi-objective differential evolution (CMODE). Although their approaches of optimizing each objective with each subpopulation are effective, the evolution and selection methods conducted on external archive are also important for co-evolution, as they significantly impact a lot on the quality and the distribution of final solutions. In this paper, we present a novel multi-objective co-evolutionary algorithm based on decomposition approach (MCEA), also using the subpopulation to enhance each objective. A more powerful DE operator with an adaptive parameters control is run on both of multiple subpopulations and external archive, which helps to improve each objective and diversify the tradeoff solutions on external archive. Moreover, computational resource assignment is also realized between each subpopulation and external archive. Once one objective stops to be enhanced, this objective may find its optimal value and more computational resource can be assigned to evolve other objectives and external archive. By this way, the tradeoff between all the objectives can be well balanced and external archive also has more opportunities for evolution. After evaluating the proposed algorithm on 31 benchmark test problems, such as the ZDT, DTLZ, WFG, UF series problems, the experimental results show that MCEA presents some advantages over two co-evolutionary algorithms (i.e., CMPSO and CMODE) and several state-of-the-art multi-objective evolutionary algorithms (i.e., NSGA-II, SPEA2, MOEA/D-DE, MOEA/D-STM, MOEA/D-FRRMAB and MOEA/D-IR).

Published
2018
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22. Active coupling suppression and real-time control system design and implementation for three-axis electronic flight motion simulator.

Author

Miao, Zhonghua, Wei, Chenglei, Gao, Zhiyuan, and Wang, Xuyong

Subjects
REAL-time control, FLIGHT simulators, MATHEMATICAL decoupling, FEEDBACK control systems, COMPUTER software
Abstract

Modelling of a three-axis electronic flight motion simulator with U-O-O structure is achieved in this paper, based on recursive Newton–Euler equations. To overcome the shortcomings of passive decoupling control methods, an active coupling torque suppression method is proposed using velocity internal feedback by analysing the influence of the coupling torque. Detailed control software and hardware implementation is given for the real-time control system. Experimental tests show the designed flight motion simulator system performs good dynamic and static performances. [ABSTRACT FROM AUTHOR]

Published
2018
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