Multi-objective optimization of high-speed train suspension parameters for improving hunting stability

Author(s):  
Xiangwang Chen ◽  
Yuan Yao ◽  
Longjiang Shen ◽  
Xiaoxia Zhang
Author(s):  
Yuan Yao ◽  
Yapeng Yan ◽  
Zhike Hu ◽  
Kang Chen

We put forward the motor active flexible suspension and investigate its dynamic effects on the high-speed train bogie. The linear and nonlinear hunting stability are analyzed using a simplified eight degrees-of-freedom bogie dynamics with partial state feedback control. The active control can improve the function of dynamic vibration absorber of the motor flexible suspension in a wide frequency range, thus increasing the hunting stability of the bogie at high speed. Three different feedback state configurations are compared and the corresponding optimal motor suspension parameters are analyzed with the multi-objective optimal method. In addition, the existence of the time delay in the control system and its impact on the bogie hunting stability are also investigated. The results show that the three control cases can effectively improve the system stability, and the optimal motor suspension parameters in different cases are different. The direct state feedback control can reduce corresponding feed state's vibration amplitude. Suppressing the frame's vibration can significantly improve the running stability of bogie. However, suppressing the motor's displacement and velocity feedback are equivalent to increasing the motor lateral natural vibration frequency and damping, separately. The time delay over 10 ms in control system reduces significantly the system stability. At last, the effect of preset value for getting control gains on the system linear and nonlinear critical speed is studied.


2019 ◽  
Vol 8 (3) ◽  
pp. 195-214
Author(s):  
Yuan Yao ◽  
Guang Li ◽  
Guosong Wu ◽  
Zhenxian Zhang ◽  
Jiayin Tang

2014 ◽  
Vol 597 ◽  
pp. 535-539
Author(s):  
Yi Qing Wang ◽  
Xu Chen ◽  
Bin Wang ◽  
Xin Bin Kuang ◽  
Xiao Geng Tian

In order to obtain the side walls section structures of high speed train applicable to different running speeds and conditions, a multi-objective optimization design is made based on the structure of topology optimization. In this optimization formulation, the weight of sandwich plate, static compliance and maximum deformation are used as the objective functions; the thickness of face panels and cores in five parts of the side wall are variables; and the air pressure gradient in compartments is the constraint function. Surrogate model techniques are adopted for constructing the response surfaces based on the optimization. Finally, a multi-objective optimization is performed using the NSGA-II algorithm and the optimization generates a Pareto solution set. The structure performance in Pareto set is greatly improved by 8.21% -33.58% than that of topology structure. In addition, the Pareto solution set provides engineers with many alternative Pareto-optimal solutions for optimization design of the sandwich plate section applied in the high-speed train.


2011 ◽  
Vol 130-134 ◽  
pp. 3128-3132
Author(s):  
Kai Jie Liu ◽  
Hong Lun Zhao ◽  
Chao Xu

How to find the solution of multi-objective optimization quickly and exactly is the challenge of multi-objective optimization design. This paper explores the feasibility of multi-objective optimization solution briefly in theory, and makes a high-speed train’s anti-creeper as an example which using multi-objective design optimization software to find the feasible solution. Nastran and LS-Dyna are respectively adopted to solve the linear static and collision study analysis of the anti-creeper. In this paper Nastran and LS-Dyna are integrated on Optimus which is MDO platform to make a MDO of anti-creeper. The anti-creeper optimization analysis is proceeded based on many indexes satisfied, and its multi-objective Pareto solution of its minimum mass and biggest internal energy comes out. The method of multi-objective optimization solution in this paper is solved well in MDO.


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