A new solution for two-bag air suspension system with leaf spring for heavy-duty vehicle

Tajima, Jun; Momiyama, Fujio; Yuhara, Naohiro

doi:10.1080/00423110500385907

Cited by 10 publications

(10 citation statements)

References 6 publications

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“…The following optimization model gives the solution of the control law. (19) to (20), if the following optimization problem…”

Section: Robust H ∞ Control Strategymentioning

confidence: 99%

“…Therefore, if a solution allows the holding of Formula (23), then the solution can guarantee ∏ < 0, and ∏ < 0 can guaranteeV(x) < 0. According to Lyapunov stability theory, whenV(x) < 0, the controlled systems (19) and (20) are asymptotically stable under the robust control law and can achieve the optimal control performance by min( = ||T wz (s)|| ∞ ).…”

Section: Theorem 1 For Vehicle Suspension Control Systems With Parammentioning

confidence: 99%

“…19 Tajima et al proposed a suspension system with dual-chamber air spring and leaf spring on heavy-duty vehicles and presented a detailed design process for this type of suspension control system. 20 Nieto et al proposed an adaptive air spring which can improve comfort and handling stability. Two connecting pipes are connected between the main chamber and the auxiliary chamber.…”

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Semi‐active control of air suspension with auxiliary chamber subject to parameter uncertainties and time‐delay

Zhang

Wang

et al. 2020

Intl J Robust & Nonlinear

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Suspension systems are critical to the ride comfort and handling stability of vehicles, but traditional passive suspensions fail to achieve optimal performance in the two aspects. Semi-active suspension controller changes the suspension stiffness or damping to improve the ride comfort and handling stability, which has the potential advantages of low energy consumption and high reliability. In this paper, the model of an air spring with an auxiliary chamber and a variable throttle orifice is proposed and the semi-active control strategy of air suspension is carried out. The parameters of the air spring with auxiliary chamber are optimized to improve the performance when the control system fails and to increase the basic performance for semi-active control. Based on the linear matrix inequality approach to robust H ∞ control, the semi-active control strategy of the air suspension is studied, in which parameter uncertainties and time delay are considered to improve control robustness. An inverse model of the air spring is then established to calculate the area of the variable throttle orifice, by which the desired control force is tracked accurately. Finally, the effectiveness of the semi-active control system of the air suspension is verified by numerical simulation. Comparing with the passive suspension, not only under nominal parameters, but also with parameter uncertainties, time delay, and both parameter uncertainties and time delay, the semi-active control system proposed in this paper has good control performance as well as is strong robustness to parameter uncertainties and time delay. K E Y W O R D S air suspension, parameter uncertainties, robust control, semi-active control, time delay 1 INTRODUCTION Comfort and safety are important considerations in the automotive industry, 1,2 and the ride comfort and handling stability are direct manifestations of these two properties. Suspension systems are used to transfer forces and moments between the car body and the ground. Thus, the suspension design must be improved to enhance the ride comfort and handling stability of vehicles. However, traditional passive suspensions fail to achieve optimal performance in both ride comfort and handling stability. 3,4 In recent years, in-wheel-motored electric vehicles have become a research hotspot because of their compact structure, high transmission efficiency, and 7130

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“…The following optimization model gives the solution of the control law. (19) to (20), if the following optimization problem…”

Section: Robust H ∞ Control Strategymentioning

confidence: 99%

Section: Theorem 1 For Vehicle Suspension Control Systems With Parammentioning

confidence: 99%

mentioning

confidence: 99%

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Semi‐active control of air suspension with auxiliary chamber subject to parameter uncertainties and time‐delay

Zhang

Wang

et al. 2020

Intl J Robust & Nonlinear

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“…It has been most frequently applied to design problems in the field for which it was developed, the automotive industry [175,176,177,178,29,179,180,181]. However, it has also proved useful in aircraft design [182,150,54] and building design [23].…”

Section: F Analytical Target Cascading (Atc)mentioning

confidence: 99%

Multidisciplinary Design Optimization: A Survey of Architectures

2013

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Multidisciplinary design optimization (MDO) is a field of research that studies the application of numerical optimization techniques to the design of engineering systems involving multiple disciplines or components. Since the inception of MDO, various methods (architectures) have been developed and applied to solve MDO problems. This paper provides a survey of all the architectures that have been presented in the literature so far. All architectures are explained in detail using a unified description that includes optimization problem statements, diagrams, and detailed algorithms. The diagrams show both data and process flow through the multidisciplinary system and computational elements, which facilitates the understanding of the various architectures, and how they relate to each other.A classification of the MDO architectures based on their problem formulations and decomposition strategies is also provided, and the benefits and drawbacks of the architectures are discussed from both a theoretical and experimental perspective. For each architecture, several applications to the solution of engineering design problems are cited. The result is a comprehensive but straightforward introduction to MDO for non-specialists, and a reference detailing all current MDO architectures for specialists.

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“…机械工程学报第 53 卷第 14 期期 40 0 前言为有效改善车辆运动性能，国内外研发了多种新型悬架系统，如空气悬架 [1][2][3] 、油气悬架 [4][5][6] 和液压互联悬架(Hydraulically interconnected suspension, HIS) [7] 等。其中，HIS 系统在不同互联模式下能够对车辆运动模态(如侧倾、俯仰、垂向及扭曲等模态) 进行解耦调节，可以协调车辆的操纵稳定性与行驶平顺性，从而引起国内外研究人员的广泛关注。 SWITH 等 [8] 分析安装有 HIS 系统车辆在鱼钩试验和半正弦转角输入下车辆的侧倾角、侧倾角速度、侧向加速度、动态侧翻因子等评价指标的响应行为，证明了 HIS 比横向稳定杆可提供更优越的操稳性； SMITH 等 [9][10] 建立装有 HIS 系统车辆的侧倾工况半车模型及试验台架，分析系统油压、液压作动器进出口压力损失、液体黏度对侧倾角和轮胎抓地力功率谱的影响，但仅在频域进行了讨论；CAO 等 [11] 研究不同连接模式 HIS 系统对车辆侧倾刚度、俯仰刚度和阻尼特性的影响；董广明等 [12] 建立 9 自由度车辆动力学模型，讨论悬架参数、车辆物理参数、车速等参数对车辆侧翻稳定性的影响； WANG 等 [13] 对装有 HIS 系统车辆的转向特性进行了参数敏感性分析。庄德军等 [14] 建立油气弹簧的非线性数学模型，分析了油气悬架的刚度和阻尼特性；杜恒等 [15][16] 利用改进的遗传算法优化油气悬架的设计参数；杨波等 [17] 提出双气室双阻尼油气悬架；王云超等 [18] …”

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Influence of Key Parameters of Hydraulically Interconnected Suspension on Vehicle Dynamics and Experimental Validation

CHEN¹

2017

JME

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Abstract：The hydraulically interconnected suspension system plays a significant role on improving vehicle safety, handling performance, which implies the importance of the study of the key parameters of the suspension system on vehicle dynamics. With a sports utility vehicle as the application object, an hydraulic suspension system with anti-roll interconnection mode is introduced, the vehicle state variables are transferred to the hydraulic system on the mechanical and hydraulic coupling surface, then the gas volume in the accumulators are changed which affects the oil pressure in the hydraulic circuits, hence the forces and torques on the coupling surface

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A new solution for two-bag air suspension system with leaf spring for heavy-duty vehicle

Cited by 10 publications

References 6 publications

Semi‐active control of air suspension with auxiliary chamber subject to parameter uncertainties and time‐delay

Semi‐active control of air suspension with auxiliary chamber subject to parameter uncertainties and time‐delay

Multidisciplinary Design Optimization: A Survey of Architectures

Influence of Key Parameters of Hydraulically Interconnected Suspension on Vehicle Dynamics and Experimental Validation

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