期刊：
Journal of Central South University,2017年24(11):2524-2531 ISSN：2095-2899
通讯作者：
Lu, Xin-jiang(luxj@csu.edu.cn)
作者机构：
[LU Xin-jiang; HUANG Ming-hui; FAN Bin] School of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China;[FAN Bin] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413002, China
通讯机构：
[Lu Xin-jiang] Cent S Univ, Sch Mech & Elect Engn, Changsha 410083, Hunan, Peoples R China.
摘要：
A novel LS-SVM control method is proposed for general unknown nonlinear systems. A linear kernel LS-SVM model is firstly developed for input/output (I/O) approximation. The LS-SVM control law is then derived directly from this developed model without any approximation and assumption. It further proves that the control error is fully equal to the LS-SVM modeling error. This means that a desirable control performance can be achieved because the LS-SVM has been proven to have an outstanding modeling ability in the previous studies. Case studies finally demonstrate the effectiveness of the proposed LS-SVM control approach.
作者机构：
[Yang, Tongguang; Gui, Weihua] College of Information Science and Engineering, Central South University, Changsha, 410083, China;[Yang, Tongguang] College of Mechanical and Engineering, Hunan City University, Yiyang, 413000, China
作者机构：
[文明才; 阳同光] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413000, China;[阳同光] College of Information Science and Engineering, Central South University, Changsha, 410083, China
作者机构：
[Yang, Tong-Guang] College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, China;[Yang, Tong-Guang; Gui, Wei-Hua] College of Information Science and Engineering, Central South University, Changsha, China
作者机构：
[阳同光] College of Mechanical and Electrical Engineering, Hunan City University, Yiyang, 413000, China;[阳同光; 桂卫华#&#&#YANG Tong-guang] College of Information Science and Engineering, Central South University, Changsha, 410083, China
作者机构：
[Huang, Z. L.] School of Mechanical and Electrical Engineering, Hunan City University, Yiyang City, 413002, China;[Jiang, C.; Ni, B. Y.] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha, 410082, China
摘要：
Non-probabilistic convex model utilizes a convex set to quantify the uncertainty domain of uncertain-but-bounded parameters, which is very effective for structural uncertainty analysis with limited or poor-quality experimental data. To overcome the complexity and diversity of the formulations of current convex models, in this paper, a unified framework for construction of the non-probabilistic convex models is proposed. By introducing the correlation analysis technique, the mathematical expression of a convex model can be conveniently formulated once the correlation matrix of the uncertain parameters is created. More importantly, from the theoretic analysis level, an evaluation criterion for convex modelling methods is proposed, which can be regarded as a test standard for validity verification of subsequent newly proposed convex modelling methods. And from the practical application level, two model assessment indexes are proposed, by which the adaptabilities of different convex models to a specific uncertain problem with given experimental samples can be estimated. Four numerical examples are investigated to demonstrate the effectiveness of the present study. (C) 2018 Elsevier Inc. All rights reserved.
作者机构：
[Yang, Wantai; Wang, Yongxin] Department of Polymer Science, Beijing University of Chemical Technology, Beijing, 100029, China;[Zhong, Wenbin; Chen, Xianhong] College of Materials Science and Engineering, Hunan University, Changsha, 410082, China;[Liu, Shoumei] Department of Mechanics, Hunan City University, Yiyang, 413000, China
通讯机构：
[Zhong, WB] Hunan Univ, Coll Mat Sci & Engn, Changsha 410082, Peoples R China.
作者机构：
[Yang, Tong-Guang] College of Mechanic and Electrical Engineering, Hunan City University, Yiyang, China;[Yang, Tong-Guang; Gui, Wei-Hua] College of Information Science and Engineering, Central South University, Changsha, China
作者机构：
[李欣然; CHEN Hong-lin] College of Electrical and Information Engineering, Hunan Univ, Changsha, Hunan, 410082, China;[LENG Hua] Electrical Research Institute of State Grid Hunan Electric Power Company, Changsha, Hunan, 410007, China;[陈国民#&#&#LI Xin-ran] School of Mechanical and Electrical Engineering, Hunan City Univ, Yiyang, Hunan, 413000, China
作者机构：
[彭文祥] School of Geoscience and Environmental Engineering, Central South University, Changsha 410083, China;[舒谷生] Department of Mechanics, Hunan University of City, Yiyang 413000, China
作者机构：
[潘晴; 范彬] College of Mechanical and Electrical Eng., Central South University, Changsha, 410083, China;[范彬] College of Mechanical and Electrical Eng., Hunan City Univ., Yiyang, 413002, China
作者机构：
[Xiao, Hong] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.;[Sun, Liang] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.;[Wang, Na] China Ordnance Ind, Res Inst 203, Wind Tunnel Lab, Xian 710065, Peoples R China.
会议名称：
International Conference on Chemical, Material and Food Engineering (CMFE)
会议时间：
JUL 25-26, 2015
会议地点：
Kunming, PEOPLES R CHINA
会议主办单位：
[Xiao, Hong] Hunan City Univ, Coll Civil Engn, Yiyang 413000, Peoples R China.^[Sun, Liang] Hunan City Univ, Coll Mech & Elect Engn, Yiyang 413000, Peoples R China.^[Wang, Na] China Ordnance Ind, Res Inst 203, Wind Tunnel Lab, Xian 710065, Peoples R China.
会议论文集名称：
AER-Advances in Engineering Research
关键词：
computational fluid dynamics;square;numerical simulation;high-rise;turbulence model
摘要：
A SST turbulence model is applied to solve the Reynolds Averaged Navier-Stokes Equations in numerically simulating the 3D steady wind flow field around the square with high-rise buildings in atmospheric boundary layer. The aerodynamic prediction was supported by velocity data collected in field measurement of 240 points from an campus square. Then a detailed parametric study is performed on velocity distribution. The parameters include wind attack angle, green belt length and the distance between green belts. The analysis results show that numerical simulation is a feasible way to study the wind environment around square and the distributing of velocity. The green belts accelerates the air flow parallel to it. The effect of acceleration depends mainly on the distance between the green belts rather than the length of the green belts. When the wind is southeast or northwest, the maximums velocity in pedestrian height are between buildings. The curved green belts can improve the wind environment rather than linear green belts. The research provides a foundation for the wind resistance design of squares.
关键词：
Tractor;dual clutch automatic transmission (DCT);jerk;sliding friction work
摘要：
Aimed at the problem that different oil pressure changes of clutch had different effects on the shifting quality of dual clutch automatic transmission (DCT). YTO-1804 tractor was selected as the reference object. The shifting process of tractor's DCT was analyzed and the dynamic models of shifting process were built. The shifting process was divided into five stages. Based on the Matlab/Simulink software platform, the simulation model of the whole shifting process was built. In the plowing condition, the simulation analysis that the different clutch oil pressure changes affected the shifting performance of tractor's DCT was done. The simulation results indicate that with the clutch oil pressure change slope decreasing, the shifting time increases, the jerk degree reduces and the sliding friction work becomes large, which better reflects that shifting quality of tractor's DCT is influenced by the clutch oil pressure changes condition. The basic theory and model foundation for the further research on the shifting performance of tractor's DCT are provided.
