基于自适应神经网络的陀螺仪温度控制改进研究

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2019-12-01 DOI:10.1109/IAEAC47372.2019.8997717

Weilun Chen, Gongcai Xin

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引用次数: 2

摘要

陀螺仪是导航系统的重要组成部分。温度性能的稳定对方位姿态系统至关重要。本文将自适应人工神经网络应用于陀螺仪温度控制系统，温度控制系统的核心部件是TMS320F2811。采用自适应优化PID算法等软硬件设计，均实现了一套温度采集与控制的设计方案。

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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The Improvement Research of Gyroscope Temperature Control Based on self-Adaptive ANN

The Gyroscope is a important part of the navigation system. The stabilization of temperature capability is crucial to azimuth and attitude system. In this paper, apply to gyroscope temperature control system from A self-Adaptive ANN, the core components of the temperature control system is TMS320F2811. Adopt adaptive optimization PID algorithm and other soft hardware design, both realize a suit of temperature collection and controlled design proposal.

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来源期刊

2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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