基于移动群智感知的多旋翼无人机噪声控制技术

Noise control technology of multi-rotor UAV based on mobile swarm intelligence perception

摘要:

由于多旋翼无人机产生噪声的位置点较多，难以感知具体的噪声位置，导致噪声控制效果不理想，因此提出基于移动群智感知的多旋翼无人机噪声控制技术。根据移动群智感知原则，确定标准群节点所处位置，对多旋翼无人机的噪声位置进行精准定位。再按照感知任务分配表达式，计算调度性能指标的具体数值，完成基于移动群智感知的执行任务调度。分析无人机板状结构的振动特性，求解同步开关阻尼、短路开关阻尼、电感开关阻尼、外加电压源开关阻尼的数值表达式，实现对多旋翼无人机噪声控制原理的研究。联合已知数值计算结果，分析噪声信号在无人机蒙皮结构、加筋板结构、典型壁板结构内的布局形式，完成基于移动群智感知的多旋翼无人机噪声控制方法的设计。对比实验结果，在移动群智感知算法作用下，无人机噪声信号在各个方向上的波动幅值均得到较好控制，与模糊逻辑控制方法相比，能够较好维持多旋翼无人机的稳定运动能力。

Abstract:

The noise control effect of multi rotor UAV is not ideal because there are many noise location points of multi rotor UAV and it is difficult to perceive the specific noise location. Therefore, the noise control technology of multi rotor UAV Based on mobile swarm intelligence perception is proposed. According to the principle of mobile group intelligence perception, the position of the standard group node is determined, and the noise position of the multi rotor UAV is accurately located. Then, according to the perceptual task allocation expression, the specific value of the scheduling performance index is calculated to complete the execution task scheduling based on mobile swarm intelligence perception. The vibration characteristics of the plate structure of UAV are analyzed, and the numerical expressions of synchronous switch damping, short-circuit switch damping, inductance switch damping and applied voltage source switch damping are solved to realize the research on the noise control principle of multi rotor UAV. Combined with the known numerical results, the layout of noise signals in UAV skin structure, stiffened plate structure and typical wall plate structure is analyzed, and the design of noise control method for multi rotor UAV Based on mobile swarm intelligence perception is completed. Compared with the experimental results, under the action of mobile swarm intelligence sensing algorithm, the fluctuation amplitude of UAV noise signal in all directions is well controlled. Compared with the fuzzy logic control method, it can better maintain the stable movement ability of multi rotor UAV.