Robust Adaptive Optimization Algorithm for Stability Control of Electric Patrol Survey UAV

Zhifang Wang, Jie Shen, Xingjian Fu, Boyuan Chen
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引用次数: 8

Abstract

In this paper, a mathematical model of flight pattern and flight attitude is established and analyzed. The flight pattern of the power patrol flight is analyzed. Based on the original linear quadratic optimal control algorithm, the motion and optimal control model of the unmanned aerial vehicle (UAV) patrol process is established to meet the unmanned aerial vehicle (UAV) inspection constraints, then a linear quadratic optimization Control based optimal control algorithm is proposed. In this paper, four-rotor aircraft as an example for simulation research, different motion models with different optimization control, and add different interference signals and the corresponding filter algorithm for antijamming performance testing. The simulation results show that the UAV can obtain good control effect by the linear quadratic optimal control, and its stability and anti - jamming performance can be improved obviously.
电动巡测无人机稳定性控制的鲁棒自适应优化算法
本文建立并分析了飞行姿态与飞行模式的数学模型。分析了动力巡逻飞行的飞行模式。在原有线性二次优化控制算法的基础上,建立了无人机巡逻过程的运动和最优控制模型,以满足无人机的巡检约束,在此基础上提出了一种基于线性二次优化控制的最优控制算法。本文以四旋翼飞行器为例进行仿真研究,采用不同的运动模型进行不同的优化控制,并添加不同的干扰信号和相应的滤波算法进行抗干扰性能测试。仿真结果表明,采用线性二次型最优控制能获得较好的控制效果,其稳定性和抗干扰性能得到明显提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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