机器人飞行模拟器的洗净滤波参数化

Aline da Conceição Matheus, E. Villani, W. R. de Oliveira
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引用次数: 2

摘要

机器人飞行模拟器已经成为传统飞行模拟器的一种低成本替代品。尽管潜力巨大,但关于这些模拟器运动的代表性的研究工作很少。因此,本研究试图提出一种使用遗传算法优化冲洗滤波器的方法,以获得能够在飞机起飞期间最大化飞行员加速度感知的参数。提出了3种配置:解决方案1对模拟器的通道B不施加位移限制,解决方案2对通道B的位移限制为15°,解决方案3考虑了15°的限制和成本函数的不同配置。结果发现,使飞行员感知最大化的解为解1。解决方案2和3相似,这表明它是在当前工作空间限制下获得的最佳配置。三种方案的对比也表明,可以进一步探索跑道,以增加起飞时的加速感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Washout filter parameterization of a robotic flight simulator
Robotic flight simulators have emerged as a low-cost alternative to conventional flight simulators. Despite the enormous potential, few research works have been conducted regarding the representativeness of the movement of these simulators. Thus, the present work seeks to propose an optimization of the washout filter using the genetic algorithm to obtain the parameters capable of maximizing pilot's acceleration perception during the plane's takeoff. 3 configurations were proposed: solution 1 that does not impose displacement limits for channel B of the simulator, solution 2 with a limited displacement of 15° for the channel B and solution 3 that considers the limit of 15° and a different configuration of the cost function. It was found that the solution that maximizes pilot perception is the solution 1. Solutions 2 and 3 were similar, which indicates that it is the best configuration to be obtained with the current workspace limitation. The comparison of the 3 solutions also indicates that the trail could be further explored to increase the sensation of acceleration during takeoff.
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