Flight Path Deviation Error Feedback Control Mathematical Model Simulation

CHEN Xiao; ZHANG Yan

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Flight Path Deviation Error Feedback Control Mathematical Model Simulation

更新时间：2026-09-04

- Flight Path Deviation Error Feedback Control Mathematical Model Simulation
- Vol. 34, Issue 6, Pages: 104-108(2017)
- 作者机构：
  
  1. 武昌工学院机构信息工程学院,湖北,武汉,430065
  2. 法国贡比涅技术大学(UTC), 皮卡第大区瓦兹省贡比涅,60200
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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陈筱, 张琰. 飞行轨迹偏离误差反馈控制数学模型仿真[J]. 微电子学与计算机, 2017, 34(6): 104-108.

CHEN Xiao, ZHANG Yan. Flight Path Deviation Error Feedback Control Mathematical Model Simulation[J]. 2017, 34(6): 104-108.
陈筱, 张琰. 飞行轨迹偏离误差反馈控制数学模型仿真[J]. 微电子学与计算机, 2017, 34(6): 104-108. DOI：

CHEN Xiao, ZHANG Yan. Flight Path Deviation Error Feedback Control Mathematical Model Simulation[J]. 2017, 34(6): 104-108. DOI：

摘要

飞机在大迎角飞行和低空滑行中容易出现轨迹偏离

需要进行飞行轨迹偏离修正控制

提高飞行稳定性.提出一种基于Lyapunove动态逆泛函的飞行轨迹偏离误差反馈控制数学模型.采用纵向模型构建飞机的运动数学模型和弹道方程

采用链式法则进行飞行轨迹的摄动参数线性化处理

在速度坐标系中使用欧拉四元素估计方法计算姿态角

以飞行的航向角、横滚角和俯仰角为约束参量模型构建Lyapunove函数

对Lyapunove函数求导

通过动态逆泛函构建控制律

实现飞行轨迹偏离误差反馈控制.仿真结果表明

采用该模型进行飞行控制的稳定性较好

姿态参量的跟踪精度较高

轨迹偏离误差较小

控制品质较优.

Abstract

In the high angle of attack and low altitude

it is easy to deviate from the trajectory

so the flight trajectory deviation correction control is needed to improve the flight stability. This paper presents a mathematical model of flight trajectory error feedback control based on Lyapunove dynamic inverse function. Mathematical model of motion and trajectory equation is constructed using longitudinal plane model

using the chain rule of the flight trajectory perturbation parameter estimation method using linearized Euler four elements in velocity coordinates calculation of attitude angle

flying at the heading angle

roll angle and pitch angle for constructing Lyapunove function constraint parameter model of Lyapunove through the dynamic inverse function derivation

functional construction control law of flight trajectory deviation error feedback control. The simulation results show that the model has better stability in flight control

higher tracking precision of attitude parameters

less error of trajectory deviation and better control quality.

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references

Tan C P, Edwards C. Robust fault reconstruction in uncertain linear systems using multiple sliding mode observers in cascade[J]. IEEE Trans on Automatic Control, 2013, 55(4): 855-867. DOI: 855

潘加亮, 熊智, 王丽娜, 等. 一种简化的发射系下SINS/GPS/CNS组合导航系统无迹卡尔曼滤波算法[J]. 兵工学报, 2015, 36(3): 484-491. DOI: 484

熊柯, 夏智勋, 郭振云. 倾斜转弯高超声飞行器滚动通道的自适应全局积分滑模控制[J]. 国防科技大学学报, 2012, 34(2): 114-118. DOI: 114

张垚, 鲜斌, 殷强, 等. 基于ARM处理器的四旋翼飞机自主控制系统研究[J]. 中国科学技术大学学报, 2012, 42(9): 753-760. DOI: 753

曹美会, 鲜斌, 张旭, 等. 基于视觉的四旋翼飞机自主定位与控制系统[J]. 信息与控制, 2015, 44(2): 190-196, 202. DOI: 190

Park P, Khadilkar H, Balakrishnan H, et al. High confidence networked control for next generation air transportation systems[J]. IEEE Trans on Automatic Control, 2014, 59(12): 3357-3372. DOI: 3357

曹立佳, 张胜修, 刘毅男, 等. 带有自适应参数近似的块控反步飞行控制器设计[J]. 航空学报, 2011, 32(12): 2259-2267. DOI: 2259

何淼磊, 贺继林, 周烜亦. 小型无人直升机鲁棒飞行控制[J]. 机器人, 2016, 38(3): 337-342, 351. DOI: 337

彭程, 王新民, 马天力, 等. 一种改进的输出反馈特征结构配置方法在飞翼飞机增稳系统设计中的应用[J]. 控制与决策, 2016, 31(6): 1111-1117. DOI: 1111

董博, 刘克平, 李元春. 动态约束下可重构模块机器人分散强化学习最优控制[J]. 吉林大学学报(工学版), 2014, 44(5): 1375-1384. DOI: 1375

李耀红, 张海燕. 一类分数阶微分方程积分边值问题的可解性[J]. 应用数学学报, 2016, 39(4): 547-554. DOI: 547

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