Self-tuning of two-axis autopilot for small aeroplanes and aerial robots

D. Matko, T. Tomazic, R. Markovic
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引用次数: 2

Abstract

A novel, quick and easy-to-implement method of self-tuning of autopilot parameters is presented. Based on oscillatory system excitation and measurement of characteristic parameters which serve as input to control loop parameter computation, the method proposed is targeted at consumer and UAV autopilot implementation, where the control-theory knowledge of operator as well as the a-priori knowledge about the system is at a minimum level. The paper presents both phases of the proposed method, the excitation phase and its automation to maintain safe and bounded signal levels, which are manifested in controllable flight with no departures from the operational envelope in flight, followed by the computatinal phase, where control loop parameters are determined. Simulation results for linear and non-linear models are given, together with considerations and improvements for future work.
小型飞机和空中机器人两轴自动驾驶仪的自调谐
提出了一种新颖、快速、易于实现的自动驾驶仪参数自整定方法。该方法基于振荡系统的激励和特征参数的测量作为控制回路参数计算的输入,针对消费者和无人机自动驾驶仪的实现,其中操作人员的控制理论知识和对系统的先验知识都处于最低水平。本文给出了所提出方法的两个阶段,即激励阶段及其保持安全有界信号电平的自动化,这表现在飞行中不偏离操作包络线的可控飞行阶段,然后是计算阶段,其中确定控制回路参数。给出了线性和非线性模型的仿真结果,以及对今后工作的考虑和改进。
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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