基于LQR法的固定翼无人机低空避障系统

Andi Dharmawan, A. E. Putra, I. M. Tresnayana, Wahyu Agung Wicaksono
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引用次数: 3

摘要

固定翼无人机(UAV)广泛用于军事和民用需求,在低空执行监视任务。在监控任务中,无人机飞行路径前方有许多障碍物,会对无人机飞行产生干扰。因此,无人机需要一个控制系统来避免这些障碍,而不会造成过度的超调。本研究中的避障系统采用线性二次型调节器(LQR)方法。LQR的作用是产生全状态反馈增益k。根据全状态反馈控制器的结果,设置作为无刷电机调速器的所有控制面的偏转角度和脉宽调制(Pulse Width Modulation, PWM)信号产生力和转矩。避障控制阶段分为巡航、爬升、下降三个阶段。研究表明,基于lqr的控制在无人机避障过程中具有稳定运动的作用。避障过程遵循飞行模式生成器生成的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Obstacle Avoidance System In A Fixed-Wing UAV When Flying Low Using LQR Method
A fixed-wing Unmanned Aerial Vehicle (UAV) is widely used for military and civilian needs to carry out monitoring missions at low altitudes. In the monitoring mission, many obstacles are in front of the UAV flight path so that it can interfere with the UAV flights. Therefore, the UAV requires a control system to avoid these obstacles without causing excessive overshoot. The obstacle avoidance system in this research uses the Linear Quadratic Regulator (LQR) method. LQR plays a role in producing full state feedback gain K. The deflection angle of all control surfaces and Pulse Width Modulation (PWM) signals as brushless motor rotational speed regulators are set to produce a force and torque according to the result of the full-state feedback controller. Control phase of avoiding obstacles is divided into three, namely cruise, climb, and descent. This research shows that LQR-based controls play a role in stabilizing UAV motion when avoiding obstacles. The obstacle avoidance process follows a pattern generated by the flight pattern generator.
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