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首页> 外文期刊>Vibration >The Control of an Active Seat Suspension Using an Optimised Fuzzy Logic Controller, Based on Preview Information from a Full Vehicle Model
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The Control of an Active Seat Suspension Using an Optimised Fuzzy Logic Controller, Based on Preview Information from a Full Vehicle Model

机译：基于完整车辆模型的预览信息，使用优化的模糊逻辑控制器控制主动式座椅悬架

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The use of suspension preview information obtained from a quarter vehicle model (QvM) to control an active seat has been shown by the authors to be very promising, in terms of improved ride comfort. However, in reality, a road vehicle will be subjected to disturbances from all four wheels, and therefore the concept of preview enhanced control should be applied to a full vehicle model. In this paper, different preview scenarios are examined, in which suspension data is taken from all or limited axles. Accordingly, three control strategies are hypothesizeda??namely, front-left suspension (FLS), front axle (FA), and four wheel (4W). The former utilises suspension displacement and velocity preview information from the vehicle suspension nearest to the drivera??s seat. The FA uses similar preview information, but from both the front-left and front-right suspensions. The 4W controller employs similar preview information from all of the vehicle suspensions. To cope with friction non-linearities, as well as constraints on the active actuator displacement and force capabilities, three optimal fuzzy logic controllers (FLCs) are developed. The structure of each FLC, including membership functions, scaling factors, and rule base, was sequentially optimised based on improving the seat effective amplitude transmissibility (SEAT) factor in the vertical direction, using the particle swarming optimisation (PSO) algorithm. These strategies were evaluated in simulation according to ISO 2631-1, using different road disturbances at a range of vehicle forward speeds. The results show that the proposed controllers are very effective in attenuating the vertical acceleration at the drivera??s seat, when compared with a passive system. The controller that utilised suspension preview information from all four corners of the car provided the best seat isolation performance, independent of vehicle speed. Finally, to reduce the implementation cost of the a??four suspensiona?? controller, a practical alternative is developed that requires less measured preview information.
机译：作者已经表明，从四分之一车辆模型（QvM）获得的悬架预览信息来控制主动座椅，就改善乘坐舒适性而言，这是非常有前途的。但是，实际上，道路车辆将受到所有四个车轮的干扰，因此，预览增强控制的概念应应用于完整的车辆模型。在本文中，研究了不同的预览方案，其中悬架数据来自所有或有限的车轴。因此，假设了三种控制策略，即左前悬架（FLS），前轴（FA）和四轮（4W）。前者利用来自最靠近驾驶员座位的车辆悬架的悬架位移和速度预览信息。 FA使用相似的预览信息，但来自左前悬架和右前悬架。 4W控制器采用了所有车辆悬架的相似预览信息。为了应对摩擦非线性以及对主动执行器位移和作用力的限制，开发了三种最佳模糊逻辑控制器（FLC）。使用粒子群优化（PSO）算法，基于改进座椅垂直方向上的有效振幅透射率（SEAT）因子，依次优化了每个FLC的结构，包括隶属函数，缩放因子和规则库。这些策略是根据ISO 2631-1在仿真中评估的，并在一定的车辆前进速度下使用了不同的道路干扰。结果表明，与无源系统相比，所提出的控制器在衰减驾驶员座椅的垂直加速度方面非常有效。该控制器利用了汽车四个角落的悬架预览信息，从而提供了最佳的座椅隔离性能，而与车速无关。最后，为减少“四个暂停”的实施成本控制器，开发了一种实用的替代方法，它需要较少的测量预览信息。

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