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IMPROVING QUADROTOR 3-AXES STABILIZATION RESULTS USING EMPIRICAL RESULTS AND SYSTEM IDENTIFICATION

机译:使用经验结果和系统识别改善四轴3轴稳定结果

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In current literature, Unmanned Aerial Vehicles (UAVs), especially quadrotors, is one of the hot topics of study which has numerous applications. This paper focuses on modeling the quadrotor in order to improve the empirical results. The procedure consists of four stages: 1) Experimental determination of controller coefficients, 2) Data collection, 3) System identification, 4) Controller redesign. After these stages, it is observed that the system is capable of stabilize on the roll, pitch and yaw axes. Coefficient tuning on the identified model noticeably improves the settling time and steady state oscillation amplitude.
机译:在当前的文献中,无人驾驶飞行器(无人机),特别是四轮车,是具有许多应用的热门学习主题之一。本文侧重于建模四轮车,以提高经验结果。该过程由四个阶段组成:1)控制器系数的实验确定,2)数据收集,3)系统识别,4)控制器重新设计。在这些阶段之后,观察到该系统能够稳定在辊子,俯仰和偏航轴上。在所识别的模型上调整的系数调谐显着改善稳定时间和稳态振荡幅度。

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