Optimizing the Models of the Data Measurement System of an Unmanned Aircraft

Aleksandr Poltavsky, G. Akhobadze
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Abstract

This article presents one of the approaches to the optimization of modern information and measurement system in unmanned vehicles. The development of unmanned aircraft vehicles (UAV) and unmanned aircraft system (UAS) models has seen a great increase in popularity recently. The existing research on unmanned aviation is innovative and it is progressing fast. The developments change their structure and form dramatically and improve the hardware and software components of various control and aiming systems (AS) while extending the list of utilities for them that are necessary for the fulfillment of the key control goals. Usually, the main blocks of multiloop AS components comprise information, measurement, and control systems (IMCS) that are also included in the automated control system (ACS) of the aircraft. It is often necessary to get an objective assessment of the technical level of such systems, especially at the early design stages, and analyze the preparation for the control decision making. Therefore, the suggested approach is based on the combined use of simulation modeling algorithms, and it stipulates a structure-and-parameter optimization of components within the IMCS blocks of the automated control system for unmanned aircrafts.
无人机数据测量系统模型优化
本文介绍了无人驾驶汽车现代信息与测量系统优化的一种方法。近年来,无人驾驶飞行器(UAV)和无人驾驶飞机系统(UAS)模型的发展得到了极大的普及。现有的无人航空研究具有创新性,发展迅速。这些发展极大地改变了它们的结构和形式,改进了各种控制和瞄准系统(AS)的硬件和软件组件,同时扩展了实现关键控制目标所必需的实用程序列表。通常,多回路AS组件的主要模块包括信息、测量和控制系统(IMCS),这些系统也包括在飞机的自动控制系统(ACS)中。通常需要对这类系统的技术水平进行客观的评估,特别是在设计初期,分析控制决策的准备工作。因此,建议的方法是基于仿真建模算法的组合使用,并规定了无人机自动控制系统IMCS模块内组件的结构和参数优化。
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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