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作 者:杨倩[1] 王艳娥 梁艳[1] 司海峰[1] YANG Qian;WANG Yane;LIANG Yan;SI Haifeng(School of Polytecnic,Xi'an Siyuan University,Xi'an 710038,China)
出 处:《计算机测量与控制》2022年第10期162-167,共6页Computer Measurement &Control
基 金:陕西省教育科学“十三五”规划2020年度课题(SGH20Y1435)。
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;分析多旋翼无人机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,获取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;根据开关阻尼计算结果和移动群智感知原则,对多旋翼无人机的噪声位置进行精准定位;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多旋翼无人机噪声控制任务调度;实验结果表明,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。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.By Analyzing the layout of the noise signal of the multi-rotor UAV in the UAV skin structure,stiffened plate structure and typical wall structure,the vibration characteristics of the UAV plate structure are obtained,and the numerical expressions of synchronous switch damping,short-circuit switch damping,inductive switch damping and external voltage source switch damping are solved.According to the calculation results of switching damping and the principle of mobile swarm intelligence perception,the noise position of multi-rotor UAV is accurately located.According to the allocation expression of the perceptual task,the specific values of the scheduling performance index are calculated to complete the noise control task scheduling of multi-rotor UAV based on the mobile swarm intelligence perception.The experimental results show that,under the action of the mobile swarm intelligence sensing algorithm,the fluctuation amplitude of UAV noise signal in all directions is well controlled,and compared with fuzzy logic control method,it can better maintain the stable movement ability of multi-rotor UAV.
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