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Analog filter realization for human — machine interaction in aerospace

机译:航空航天中人机交互的模拟滤波器实现

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Mathematical models of human behavior while flying an aircraft have been created for testing the physical and psychological state of pilots in aerospace. These models vary, but often they are characterized by a linear model with transport delay. Time constants in these models represent basic pilot skills, experience, and neuromuscular properties of a human. This article describes one of these mathematical models shown as a rational fraction function. The main purpose of this article is to analyze this model from the realization or implementation point of view. Two implementation methods are described here. The first is based on a state-space description using integrator synthesis. The second method is a physical circuit realization using active analog ARC filters. A model is created in the Simulink system to verify the state-space implementation. Parameters of this system are set automatically in the MATLAB environment. The analog realization part completes the previously published study of filter optimization. Together these articles make a complete research system of studies from pilot response tests to optimal model realization.
机译:已经创建了飞行飞机时人类行为的数学模型,用于测试航空航天员的身体和心理状态。这些模型各不相同,但通常以具有运输延迟的线性模型为特征。这些模型中的时间常数代表基本的飞行员技能,经验和人的神经肌肉特性。本文介绍了这些数学模型之一,显示为有理分数函数。本文的主要目的是从实现或实现的角度分析此模型。这里介绍两种实现方法。第一种基于使用积分器综合的状态空间描述。第二种方法是使用有源模拟ARC滤波器的物理电路实现。在Simulink系统中创建一个模型以验证状态空间的实现。该系统的参数在MATLAB环境中自动设置。模拟实现部分完成了先前发布的滤波器优化研究。这些文章共同构成了一个完整的研究系统,从试点响应测试到最佳模型实现。

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