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A neural network based fuzzy control approach to improve ride comfort and road handling of heavy vehicles using semi-active dampers

机译:基于神经网络的模糊控制方法,使用半主动减震器可提高重型车辆的乘坐舒适性和道路处理能力

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摘要

The use of semi-active dampers in suspension systems is increasing rapidly in the automotive industry. This is attributed to the fact that damping can be adjusted to improve ride comfort and road handling. However, accomplishing ride comfort and better road handling concurrently is challenging. In this paper, we propose an intelligent system to optimise the suspension performance in terms of concurrently achieving the above-mentioned objectives. A neural network-based fuzzy logic controller is designed to control the system that embodies this damper. The proposed controller can enhance the vehicle handling and ride comfort concurrently while consuming less energy than existing control methodologies.
机译:在汽车工业中,半主动阻尼器在悬架系统中的使用正在迅速增加。这归因于可以调节阻尼以改善乘坐舒适性和道路操纵性的事实。然而,同时实现乘坐舒适性和更好的道路处理是具有挑战性的。在本文中,我们提出了一种智能系统,可在同时实现上述目标的同时优化悬架性能。设计了基于神经网络的模糊逻辑控制器,以控制体现该阻尼器的系统。与现有的控制方法相比,所提出的控制器可以同时提高车辆的操纵性和乘坐舒适性,同时消耗更少的能量。

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