Performance of Recent Large-angle Extensions to Classical Simulator Washout Algorithms

R. Langlois, J. Hayes, R. Irani, Mikayla Micomonaco
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Abstract

Washout algorithms are typically used in flight simulator motion control software to give the pilots flying the simulator the impression that they are experiencing an unlimited range of motion when the Gough-Stewart hexapod providing the motion cues has a comparably very small motion envelope. Since hexapods have generally been adopted by the motion simulator industry and the washout algorithms developed in the 1970s have performed extremely well at giving pilots a very high fidelity training experience despite the very small angular workspace of the motion platforms, research in the area generally came to a halt in the 1980s. We have succeeded in development of the Atlas motion platform which possesses an unbounded orientation workspace that is singularity free, hence we have the need to revisit washout algorithm development to take advantage of the unlimited orientation workspace. In this paper, after a brief review of existing approaches, we outline the development of our unlimited angular washout. Several benchmark cases are presented for two aircraft having very different flight characteristics: a Cessna 172 and a Columbia 400. Additionally, a quantitative comparison of small, large, and unlimited angular washout algorithm performance is reported.
经典模拟器洗出算法的大角度扩展
冲洗算法通常用于飞行模拟器运动控制软件,给飞行员飞行模拟器的印象,他们正在经历一个无限范围的运动,而Gough-Stewart六足机器人提供的运动线索有一个相对非常小的运动包络。由于运动模拟器行业普遍采用六足机器人,并且20世纪70年代开发的冲洗算法在为飞行员提供非常高保真度的训练体验方面表现非常好,尽管运动平台的角度工作空间非常小,但该领域的研究通常在20世纪80年代停止。我们已经成功地开发了Atlas运动平台,该平台具有无奇点的无界方向工作空间,因此我们需要重新开发冲洗算法以利用无界方向工作空间。在本文中,在简要回顾了现有方法之后,我们概述了无限角度冲洗的发展。介绍了塞斯纳172和哥伦比亚400两种飞行特性截然不同的飞机的几个基准案例。此外,定量比较了小,大,无限角冲洗算法的性能报告。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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