8自由度全运动模拟器自适应线性二次调节运动提示算法的新方法

Tobias Miunske, Christian Holzapfel, Edwin Baumgartner, H. Reuss
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引用次数: 9

摘要

在这篇贡献中,提出了一种新的自适应运动提示算法,用于斯图加特大学的全运动驾驶模拟器,该算法允许考虑运动学车辆运动。这些通过状态流程图进行充分处理,并以这样一种方式转移到运动提示算法,即斯图加特驾驶模拟器的动态可以更有效地使用。在此基础上,提出了该算法的线性二次误差最小化方法。主要目标是为驾驶员提供更真实的驾驶体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new Approach for an Adaptive Linear Quadratic Regulated Motion Cueing Algorithm for an 8 DoF Full Motion Driving Simulator
In this contribution, a new adaptive motion cueing algorithm for a full motion driving simulator at the University of Stuttgart is presented, which allows kinematic vehicle movements to be taken into account. These are adequately processed via a state-flow chart and transferred to the motion cueing algorithm in such a way that the dynamic of the Stuttgart Driving Simulator can be used much more efficiently. Furthermore, a linear quadratic error minimization of the mentioned algorithm is presented. The primary objective is to provide a more realistic driving experience to the driver.
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