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

Chen, Xiangwang; Yao, Yuan; Shen, Longjiang; Zhang, Xiaoxia

doi:10.1080/23248378.2021.1904444

Cited by 21 publications

(10 citation statements)

References 24 publications

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“…T and b is shown in the Appendix. Now the task is to transform the space of e(i, 1) into that of 𝜌 i , the inverse of function (24) and its first and second derivatives.…”

Section: Nominal Cfc Design With Displacement Inequality Constraintmentioning

confidence: 99%

“…Zhu et al [21] improved the ride quality and hunting stability simultaneously by using the linear-quadratic-gaussian (LQG) control theory, Xia et al [22] mitigated the vehicle swaying phenomena through the lowfrequency active inerter-spring-damper type dynamic vibration absorber, Yao et al [23] proposed the frame lateral vibration control to improve the hunting stability of the bogie. In addition, Chen et al [24] improved the hunting stability of HSTs by multi-objective optimization of the suspension parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, Chen et al. [24] improved the hunting stability of HSTs by multi‐objective optimization of the suspension parameters.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Bio‐inspired structure constraints following control for enhancing hunting stability of high‐speed trains

Zhao,

Zhang,

Ling

et al. 2023

IET Control Theory & Appl

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High‐speed trains (HSTs) often face challenges associated with car‐body hunting, resulting from factors such as complex operating environments and wheel‐rail contact degradation. These issues have a significant impact on the ride quality and operational safety. Passive suspension systems are inadequate to provide satisfactory dynamic performance for HSTs in such circumstances. However, active suspension systems can provide an effective solution. To address the car‐body hunting stability of HSTs, this study proposes a novel control approach called displacement inequality constraint following control (ICFC‐BIS) for the active suspension of HSTs. The ICFC‐BIS leverages the beneficial nonlinearity of bio‐inspired structures (BIS) to indirectly achieve excellent dynamic characteristics of the BIS through actuators installed in the suspension of HSTs, eliminating the need for actual BIS installation. Numerical simulation results demonstrate that the proposed ICFC‐BIS can effectively suppress car‐body hunting motion, thereby enhancing the ride comfort of HSTs. Consequently, the operational safety and ride comfort indices of HSTs equipped with active suspension systems are significantly improved.

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“…T and b is shown in the Appendix. Now the task is to transform the space of e(i, 1) into that of 𝜌 i , the inverse of function (24) and its first and second derivatives.…”

Section: Nominal Cfc Design With Displacement Inequality Constraintmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Bio‐inspired structure constraints following control for enhancing hunting stability of high‐speed trains

Zhao,

Zhang,

Ling

et al. 2023

IET Control Theory & Appl

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show abstract

“…According to the FSD characteristic for the FSD damper and the Maxwell model, 28,29 the mathematical model of the FSD damper is established in MATLAB/SIMULINK, as shown in Figure 2. In order to make the damper model exhibit low and high damping states for excitations at low and high frequencies, the model is composed of four modules, which include the low/high damping module, the frequency valve module, the trigger module and the scale factor module.…”

Section: Mathematical Model Of Fsd Dampermentioning

confidence: 99%

Application of yaw dampers with frequency-selective damping to improve the locomotive adaptability to low/high conicity stability

Zhou

Yao

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

Self Cite

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High-speed locomotives are prone to the carbody or bogie hunting under extreme wheel-rail contact conditions, which can cause negative impacts on vehicle dynamics performance. The influence of key suspension parameters on the carbody lateral ride comfort and bogie lateral acceleration is investigated by the multi-objective optimization and Sobol global sensitivity analysis methods, which is based on the Radial Basis Function Neutral Network surrogate model. The results illustrate that the yaw damper damping is sensitive to the two hunting stabilities, but conventional yaw dampers with fixed damping fail to satisfy both the stability demands simultaneously. Therefore, this paper presents a damping-adjustable yaw damper integrating an FSD (frequency-selective damping) valve to guarantee the lateral stability especially in abnormal wheel-rail contact states, and the application effects of the FSD yaw damper for the locomotive are researched by dynamics simulations. The results show that the FSD yaw damper can improve the adaptability of the locomotive to both the low and high wheel-rail contact conicity service conditions compared with the conventional yaw dampers.

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“…For this reason, exploring an optimization strategy to reduce the energy consumption of trains without changing the existing equipment and infrastructure has become an important research topic in recent years [ 2 , 3 ]. Due to the fact that the energy consumption of urban rail accounts for a large proportion of the public transport system, it is of great significance to realize energy savings in the urban rail [ 4 , 5 ], which will improve its own economic and social benefits. Based on the analysis of the existing research, a new traction energy-saving optimization based on the combination of train inertia motion and energy optimization is proposed in this study.…”

Section: Introductionmentioning

confidence: 99%

Energy-Saving Optimization Method of Urban Rail Transit Based on Improved Differential Evolution Algorithm

Zhang

2022

Sensors

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The transformation of railway infrastructure and traction equipment is an ideal way to realize energy savings of urban rail transit trains. However, upgrading railway infrastructure and traction equipment is a high investment and difficult process. To produce energy-savings in the urban rail transit system without changing the existing infrastructure, we propose an energy-saving optimization method by optimizing the traction curve of the train. Firstly, after analyzing the relationship between the idle distance and running energy-savings, an optimization method of traction energy-savings based on the combination of the inertia motion and energy optimization is established by taking the maximum idle distance as the objective; and the maximum allowable running speed, passenger comfort, train timetable, maximum allowable acceleration and kinematics equation as constraints. Secondly, a solution method based on the combination of the adaptive dynamic multimodal differential evolution algorithm and the Q learning algorithm is applied to solve the optimization model of energy-savings. Finally, numeric experiments are conducted to verify the proposed method. Extensive experiments demonstrate the effectiveness of the proposed method. The results show that the method has significant energy-saving properties, saving energy by about 11.2%.

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

Cited by 21 publications

References 24 publications

Bio‐inspired structure constraints following control for enhancing hunting stability of high‐speed trains

Bio‐inspired structure constraints following control for enhancing hunting stability of high‐speed trains

Application of yaw dampers with frequency-selective damping to improve the locomotive adaptability to low/high conicity stability

Energy-Saving Optimization Method of Urban Rail Transit Based on Improved Differential Evolution Algorithm

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