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Robust Optimal Attitude Controller for MIMO Uncertain Hexarotor MAVs: Disturbance Observer-Based

机译:MIMO不确定六边形MAV的鲁棒最优姿态控制器:基于干扰观测器

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摘要

This paper proposes a robust optimal attitude control design for multiple-input, multiple-output (MIMO) uncertain hexarotor micro aerial vehicles (MAVs) in the presence of parametric uncertainties, external time-varying disturbances, nonlinear dynamics, and coupling. The parametric uncertainties, external time-varying disturbances, nonlinear dynamics, and coupling are treated as the total disturbance in the proposed design. The proposed controller is achieved in two simple steps. First, an optimal linear-quadratic regulator (LQR) controller is designed to guarantee that the nominal closed-loop system is asymptotically stable without considering the total disturbance. After that, a disturbance observer is integrated into the closed-loop system to estimate the total disturbance acting on the system. The total disturbance is compensated by a compensation input based on the estimated total disturbance. Robust properties analysis is given to prove that the state is ultimately bounded in specified boundaries. Simulation results illustrate the robustness of the disturbance observer-based optimal attitude control design for hovering and aggressive flight missions in the presence of the total disturbance.
机译:本文针对存在参数不确定性,外部时变干扰,非线性动力学和耦合的多输入多输出(MIMO)不确定六旋翼微型飞行器(MAV)提出了一种鲁棒的最优姿态控制设计。在设计中,将参数不确定性,外部时变扰动,非线性动力学和耦合视为总扰动。所提出的控制器可通过两个简单步骤实现。首先,设计了最佳线性二次调节器(LQR)控制器,以确保标称闭环系统在不考虑总扰动的情况下渐近稳定。之后,将扰动观测器集成到闭环系统中,以估计作用在系统上的总扰动。总干扰由基于估计的总干扰的补偿输入补偿。进行了鲁棒的属性分析,以证明状态最终在指定的边界内。仿真结果说明了在存在总干扰的情况下,基于干扰观测器的最优姿态控制设计对于悬停和激进飞行任务的鲁棒性。

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  • 来源
    《Mathematical Problems in Engineering》 |2016年第5期|3154842.1-3154842.24|共24页
  • 作者单位

    Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia|Robot Syst Enterprise, Mechatron Syst Lab, Melaka 75250, Malaysia;

    Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia|Robot Syst Enterprise, Mechatron Syst Lab, Melaka 75250, Malaysia;

    Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia;

    Chiba Univ, Grad Sch Engn, Dept Mech Engn, Chiba, Chiba 2630022, Japan|Autonomous Control Syst Lab Ltd, Chiba, Chiba 2638522, Japan;

    Univ Teknol Malaysia, Malaysia Japan Int Inst Technol, Kuala Lumpur 54100, Malaysia;

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