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Modelagem e controle de um microveículo aéreo: uma aplicação de estabilidade robusta com a técnica backstepping em uma estrutura hexarrotor

机译:机载微型车辆的建模和控制:具有稳健稳定性的反推技术在六旋翼结构中的应用

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摘要

In this Thesis, the development of the dynamic model of multirotor unmannedaerial vehicle with vertical takeoff and landing characteristics, considering inputnonlinearities and a full state robust backstepping controller are presented. Thedynamic model is expressed using the Newton-Euler laws, aiming to obtain a bettermathematical representation of the mechanical system for system analysis and controldesign, not only when it is hovering, but also when it is taking-off, or landing, orflying to perform a task. The input nonlinearities are the deadzone and saturation,where the gravitational effect and the inherent physical constrains of the rotors arerelated and addressed. The experimental multirotor aerial vehicle is equipped withan inertial measurement unit and a sonar sensor, which appropriately provides measurementsof attitude and altitude. A real-time attitude estimation scheme based onthe extended Kalman filter using quaternions was developed. Then, for robustnessanalysis, sensors were modeled as the ideal value with addition of an unknown biasand unknown white noise. The bounded robust attitude/altitude controller were derivedbased on globally uniformly practically asymptotically stable for real systems,that remains globally uniformly asymptotically stable if and only if their solutionsare globally uniformly bounded, dealing with convergence and stability into a ballof the state space with non-null radius, under some assumptions. The Lyapunovanalysis technique was used to prove the stability of the closed-loop system, computebounds on control gains and guaranteeing desired bounds on attitude dynamicstracking errors in the presence of measurement disturbances. The controller lawswere tested in numerical simulations and in an experimental hexarotor, developedat the UFRN Robotics Laboratory
机译:本文提出了考虑输入非线性和全状态鲁棒反推控制器的具有垂直起降特性的多旋翼无人飞行器动力学模型的开发。使用牛顿-欧拉定律表示动力学模型,旨在获得机械系统的更好的数学表示,以进行系统分析和控制设计,不仅是在悬停时,还是在起飞,降落,飞行或执行飞行时。任务。输入非线性是死区和饱和度,其中重力效应和转子固有的物理约束是相关的并得到解决。实验性多旋翼飞行器配备有惯性测量单元和声纳传感器,可以适当地测量姿态和高度。提出了一种基于四元数的扩展卡尔曼滤波器的实时姿态估计方案。然后,为了进行鲁棒性分析,将传感器建模为理想值,并添加未知偏差和未知白噪声。有界鲁棒姿态/高度控制器是基于对真实系统的全局一致,渐近稳定的,当且仅当其解为全局一致有界时,才保持全局一致的渐近稳定,从而将收敛性和稳定性处理为非零的状态空间半径,在某些假设下。利用Lyapunov分析技术证明了闭环系统的稳定性,计算了控制增益的界限,并在存在测量干扰的情况下保证了姿态动态跟踪误差的理想界限。 UFRN机器人实验室开发的控制器定律已在数值模拟和实验六转子中进行了测试

著录项

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    Sanca Armando Sanca;

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  • 年度 2013
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  • 原文格式 PDF
  • 正文语种 por
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