首页> 外文期刊>International Journal of Control, Automation, and Systems >Model-free Controls of Manipulator Quadrotor UAV Under Grasping Operation and Environmental Disturbance
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Model-free Controls of Manipulator Quadrotor UAV Under Grasping Operation and Environmental Disturbance

机译:抓取操作和环境扰动下机械手四旋翼无人机无模型控制

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摘要

Quadrotor unmanned aerial vehicle (UAV) is an ideal carrier for air transportation because of its simple structure and strong maneuverability that can complete vertical take-off and landing and hover operations. In recent years, the combination of quadrotor UAV and manipulator has attracted the most extensive attention. However, the quadrotor UAV will be significantly interfered with installing the manipulator, making control difficult. In this paper, a complete mathematical model of the manipulator quadrotor UAV is established. The model describes the interference of the manipulator and its operation to the quadrotor UAV. In order to suppress the interference caused by the manipulator, it is necessary to select the appropriate controller. Three model-free control algorithms are designed: proportional-integral-derivative (PID), sliding mode control based on RBF neural network (RBF-based SMC), and high order differential feedback controller (HODFC) and the derivation of RBF-based SMC and HODFC and the proof of closed-loop system are given. The PID controller has the worst anti-interference performance through the analysis of simulation experiments. On the other hand, RBF-based SMC has a time delay, HODFC has the strongest robustness to disturbance and excellent rapidity, which is an ideal method to control manipulator quadrotor UAV.
机译:四旋翼无人机(UAV)结构简单,机动性强,可完成垂直起降和悬停作业,是航空运输的理想载体。近年来,四旋翼无人机与机械手的结合引起了最广泛的关注。但是,四旋翼无人机在安装机械手时会受到严重干扰,使控制变得困难。本文建立了机械手四旋翼无人机的完整数学模型。该模型描述了机械手的干扰及其对四旋翼无人机的操作。为了抑制机械手造成的干扰,需要选择合适的控制器。设计了3种无模型控制算法:比例-积分-微分(PID)、基于RBF神经网络的滑模控制(基于RBF的SMC)和高阶差分反馈控制器(HODFC),并给出了基于RBF的SMC和HODFC的推导以及闭环系统的证明。通过仿真实验分析,PID控制器的抗干扰性能最差。另一方面,基于RBF的SMC具有时延,HODFC具有最强的抗扰动鲁棒性和优异的速度,是控制机械手四旋翼无人机的理想方法。

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