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Development of semi-active suspension for Formula SAE vehicle

机译:开发式SAE车辆半主动悬架

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The design of passive suspension systems is being improved since the early days of the automotive industry in order to obtain the best tradeoff between ride comfort and handling. In this context, passenger cars tend to prioritise ride comfort whilst racing cars tend to focus on handling. On the other hand, Formula SAE is a series of undergraduate competitions in which the students design, build and compete with small, formula-style, mono-seated vehicles. As part of the competition events, the vehicle experiences tight corners and short-length slaloms. The minimum turning diameter and the shortest length of slalom period conducted by Formula SAE prototypes are 9 m and 7.6 m, respectively. Therefore, high controllability of vehicle dynamic behaviour is required in order to enhance the cornering speed, this is achievable by working on the dampers to optimise the rates of load transfer in cornering. This paper describes the development of semiactive control algorithms to optimise the handling performance of a Formula SAE vehicle by reducing the non-suspended mass displacements and tyre load variations, which are meant to be implemented utilising magnetorheological dampers. A magnetorheological fluid is usually described as a functional fluid whose effective viscosity can be dramatically varied reversibly by submitting it to the presence of a magnetic field. The control algorithms (groundhook two-state and groundhook linear) have been developed in MATLAB/Simulink. The full-vehicle multibody models have been implemented in MSC ADAMS/Car. The control and mechanical systems have been afterwards co-simulated in order to evaluate the effectiveness of the control approaches over the vehicle overall performance through single lane-change and swept-sine steer manoeuvres. The influence of the groundhook linear tuning parameter was also studied. The metrics for ride comfort and handling considered were RMS chassis vertical acceleration and RMS tyre vertical displacement, respectively. The outcomes of the present work have shown that for a tuning parameter of 0.6 the best handling performance is achieved whilst for a tuning parameter of 0.8 the best trade-off between handling and ride comfort is achieved. Additionally, it could be concluded that both semi-active suspensions present better performance than the passive one concerning handling and ride comfort. However, the groundhook two-state algorithm achieved an overall better compromise when submitted to different manoeuvres and can be considered more suitable to Formula SAE vehicles.
机译:自汽车行业早期以来,被动悬架系统的设计正在提高,以便获得乘坐舒适性和处理之间的最佳权衡。在这方面,乘用车倾向于优先考虑乘坐舒适,而赛车往往会专注于处理。另一方面,公式SAE是一系列本科竞赛,学生设计,建造和竞争小型,配方风格的单声道车辆。作为竞争事件的一部分,车辆经历了紧张的角落和短距离。由式SAE原型传导的最小转动直径和最短的障碍骨架长度分别为9米和7.6米。因此,为了提高转弯速度,需要高可控性,以提高转弯速度,这是通过在阻尼器上工作以优化转弯的负载传递速率来实现的。本文介绍了半视线控制算法的开发,通过减少不悬浮的批量位移和轮胎载荷变化来优化公式SAE车辆的处理性能,这是利用磁流变阻尼器来实现的。磁流变液通常被描述为功能液,其通过将其提交到磁场的存在来可逆地可逆地变化。 Matlab / Simulink的控制算法(DardHook两州和陆地线性)已开发。全车载多体模型已在MSC Adams / Car中实施。该控制和机械系统之后是共模,以便通过单车道变化和扫掠 - 正弦操纵器评估对车辆整体性能的控制方法的有效性。还研究了旱地线性调谐参数的影响。乘坐舒适性和处理的度量分别是RMS底盘垂直加速度和RMS轮胎垂直位移。本工作的结果表明,对于0.6的调谐参数,实现了最佳的处理性能,同时进行了0.8的调谐参数,实现了处理和乘坐舒适性之间的最佳权衡。此外,可以得出结论,半主动悬架既比被动又涉及处理和乘坐舒适性的被动性能则表现出更好的性能。然而,当提交给不同的机动时,陆地两种算法在提交时达到了更好的折衷,并且可以被认为更适合于公式SAE车辆。

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