摘要
飞行器在飞行过程中受到多种因素的影响,包括气动力、惯性力等,导致其动力学模型具有复杂的非线性特性。为了实现精确的控制和导航,需要综合考虑这些非线性因素。对此,本文提出了基于动力学模型的飞行器多信息非线性融合控制方法。首先,针对飞行器数据进行预处理。然后,构建飞行器动力学系统模型。最后,基于飞行器动力学模型得到姿态量测非线性信息与位置、速度量测非线性信息,并利用PD型迭代学习算法对其进行融合控制。实验结果证明,运用该方法开展飞行器控制时,效果较好,具有实用性。
Aircraft are affected by various factors during flight,including aerodynamic forces,inertial forces,etc.,resulting in complex nonlinear characteristics in its dynamic model.In order to achieve precise control and navigation,it is necessary to consider these nonlinear factors.Therefore,a multi information nonlinear fusion control method for aircraft based on dynamic models is proposed.Firstly,preprocess the aircraft data.Then,construct a model of the aircraft dynamics system.Finally,based on the aircraft dynamics model,the nonlinear information of attitude measurement and position and velocity measurement are obtained,and the PD type iterative learning algorithm is used for fusion control.The experimental results have shown that the use of this method for aircraft control is effective and practical.
作者
韩林萍
谢梦敏
马飞
王明杰
郑武强
HAN Linping;XIE Mengmin;MA Fei;WANG Mingjie;ZHENG Wuqiang(Henan Vocational College of Water Conservancy and Environment,Henan Zhengzhou 450008 China)
出处
《长江信息通信》
2025年第1期112-114,共3页
Changjiang Information & Communications
基金
河南省科技攻关项目名称:超硬磨料磨粒族有序化排布砂轮数字化设计及磨削关键技术研究,项目项目编号:242102230147。
关键词
PD型迭代学习
飞行器
多信息非线性融合
PD type iterative learning
Aircraft
Multi information nonlinear fusion
