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Yaw, Pitch and Roll controller design for fixed-wing UAV under uncertainty and perturbed condition

机译:不确定性和扰动条件下固定翼无人机的偏航,俯仰和横滚控制器设计

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Now a day's Unmanned Aerial Vehicle (UAV) systems are frequently used in many commercial applications. This makes UAV application as one of the hottest topic among the researchers. The most critical task for the researchers working on UAV is its proper and stable flight controlling under uncertainty and perturbed condition. In fixed wing UAV system altitude and attitude angles (Yaw, Pitch, Roll) play a significant role for flight stabilization. This paper presents a control algorithm for fixed-wing UAV longitude and latitude angles (Yaw, Pitch and Roll) controlling. This control algorithm is based on Proportional Integral Derivate (PID) conjunction with Extended Kalman Filter (EKF). It is also describes that how an unstable system become stable after applying proposed control technique. The proposed control method is simulated on fixed-wing UAV mathematical model under perturbed and unperturbed conditions using MATLAB platform. The Simulation results shows that the proposed controller performed well and maintains the stability of an airplane and holds desired angle values under uncertainties and perturbed conditions.
机译:现在,一天的无人飞行器(UAV)系统经常用于许多商业应用中。这使得无人机的应用成为研究人员中最热门的话题之一。对于从事无人机研究的研究人员而言,最关键的任务是在不确定性和扰动条件下进行适当而稳定的飞行控制。在固定翼无人机系统中,高度和姿态角(偏航角,俯仰角,横滚角)对于稳定飞行起着重要作用。本文提出了一种控制算法,用于固定翼无人机的经度和纬度角(偏航,俯仰和横滚)控制。该控制算法基于比例积分微分(PID)和扩展卡尔曼滤波器(EKF)。还描述了应用建议的控制技术后,不稳定系统如何变得稳定。利用MATLAB平台,在扰动和非扰动条件下,对固定翼无人机的数学模型进行了仿真。仿真结果表明,所提出的控制器在不确定性和扰动条件下表现良好,并能保持飞机的稳定性并保持所需的角度值。

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