Zhao Kegang
South China University of Technology
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Publication
Featured researches published by Zhao Kegang.
international conference on information science and engineering | 2010
Li Yu-zhou; Zhao Kegang
It is important to use non position sensor controlling strategy to improve the performance of switched reluctance drive system. A novel method that estimates the speed and rotor of switched reluctance motor using extended Kalman filter is introduced. By the algorithm and method, the non position sensor controlling strategy of switched reluctance motor is realized. The simulated results show that the method has better forecast, emendation, as well as precise track of position and speed of switched reluctance motor. In addition, the method can solve the problem of system parameter variation and system interfere, and measure the effect of observed interfere.
International Journal of Vehicle Design | 2005
Huang Xiangdong; Zhao Kegang; Luo Yutao; Liu Wenbin
To remedy the imperfection of the existing power-split type of multi-energy powertrain based on a planetary mechanism for HEV (Hybrid Electric Vehicle), and to increase the power transmittability, efficiency and variable speed range of the CVT (Continuously variable transmission) used with it, a new power-split type of HEV powertrain is here put forward and studied. The working principle of this type of mechatronic assembly is analysed in detail and general and key points for its design and realisation are also discussed. Its technical features and applied perspective are thus revealed.
international conference on measuring technology and mechatronics automation | 2011
Li Yu-zhou; Zhao Kegang
Permanent-magnet synchronous-motor is a multi-variable, non-linear, strong coupling system that is highly sensitive to the outer interfere and inter perturbation. To improve the system robustness, the adaptive back-stepping control of permanent magnet synchronous motor based on slide mode observer is put forward. Based on the mathematic model of permanent magnet synchronous motor and the theory of slide mode observer, the real-time online estimation of the position angle and speed of rotor is realized, and furthermore the estimation of the position of rotor is revised, so the close loop controlling of motor is conducted. In addition in order to suppress the effect of uncertain factors to the performance of system such as parameter perturbation and load perturbation, the adaptive back-stepping control strategy is used to adaptively adjust states in according to the change of parameters for ensuring the stability and performance of system. The simulation results show the strategy with good dynamic characteristic and robustness.
First International Conference on Transportation Engineering | 2007
Zhao Kegang; Luo Yutao; Guangdong Key
Considering a charge-sustaining PHEV (Parallel Hybrid Electric Vehicle) as an object, the corresponding mechanical and battery constraint functions are established. For real-time controlling, the global criterion is replaced with a real-time one , and a general scheme of real-time power assigning and speed ratio optimizing are given.Based on the math models related to HEVs powertrain, a MATLAB/Simulink simulation platform was built up to calculate ideal tables of power distribution among powertrain elements and the corresponding gear shifts which will be stored into the HEVs onboard supervisory controller. Validity and real time responsibility of the instantaneous optimization control strategy are proved by simulations with typical driving cycles, revealing worthy of the strategy.
international conference on computer science and information technology | 2010
Li Xiaofu; Zhao Kegang; Yang Yong
This paper firstly examines the traditional vehicle styling evaluation methods and issues, and then presents a new approach which uses ANN (artificial neural network) to build an expert system for bus styling evaluation. It describes the key technical issues of quasi-three-dimensional bus styling evaluation expert system from data collection, graphical pre-processing, graphics feature extraction, knowledge base construction to neural network model design and training. On this basis, authors have developed a bus styling evaluation expert system software, and satisfactory results are obtained in actual bus styling retrofit project.
Archive | 2004
Huang Xiangdong; Zhao Kegang; Yuan Zhongrong
Archive | 2017
Zhao Kegang; Huang Xiangdong; Yang Yong; Li Gang; Liang Zhihao
Proceedings of the Csee | 2005
Zhao Kegang
SAE 2010 World Congress & Exhibition | 2010
Yang Rongshan; Xiangdong Huang; Zhao Kegang
Journal of Mechanical Engineering | 2016
Ye Jie; Huang Xiangdong; Zhao Kegang; Liu Yanwei; Huang Xiexin