Realization of a noise immunity algorithm for detecting obstacles on the trajectory of unmanned aerial vehicles

被引:0
|
作者
Vasilyev, D. A. [1 ]
Kichigin, A. A. [1 ]
Shakhtarin, B. I. [1 ]
机构
[1] Bauman Moscow State Tech Univ, Moscow, Russia
关键词
radio-frequency engineering; linear frequency modulation; noise immunity; range selection function; autonomous system; transceiver module; direct digital synthesizer;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The problematic of the control system of an unmanned aerial vehicle associated with the detection of obstacles on the trajectory of motion is considered. A solution is proposed in the form of a radio-frequency engineering device that allows working under fog and dust conditions. The structure of a radio-frequency engineering device is developed that implements a noise immunity algorithm for processing a useful signal. The algorithm is based on comparing the amplitudes of the harmonics of the difference frequency signal. The use of linear frequency modulation in the probing signal makes it possible to form a high-steep range selection function. When the algorithm is implemented, subsampling is used, which makes it possible to reduce the effect of the leakage signal and reduce the requirements for the conversion frequency of the analog-to-digital converter. For synchronization of both modulating voltage and clock signal of analog-to-digital converter an internal oscillator of microcontroller with phase-locked loop is used. The possibility of regulating the operating range by changing the amplitude of the modulation voltage is shown. A sample of a radio-frequency engineering device was developed. Small dimensions make it possible to use the device with almost all modern unmanned aerial vehicles. Working capacity of the sample is checked. The influence of noise at the input of the receiver on the characteristics of the system is explored. Based on the obtained results, a conclusion is made about the operability and high noise immunity of the device. Recommendations for designing of such a radio-frequency engineering device are given.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] Experimental investigation on motor noise reduction of Unmanned Aerial Vehicles
    Qian, Yujie
    Wei, Yuliang
    Kong, Deyi
    Xu, He
    APPLIED ACOUSTICS, 2021, 176
  • [42] An Improved Trajectory Planning Method for Unmanned Aerial Vehicles in Complex Environments
    Zhang, Chen
    Yu, Moduo
    Huang, Wentao
    Hu, Yi
    Chen, Yang
    Fan, Qinqin
    BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, PT 2, BIC-TA 2023, 2024, 2062 : 148 - 158
  • [43] Collision Free Path Planning for Unmanned Aerial Vehicles in Environments with Dynamic Obstacles
    Hustiu, Sofia
    Kloetzer, Marius
    Burlacu, Adrian
    2020 24TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2020, : 520 - 525
  • [44] Nonlinear 3-D Trajectory Guidance for Unmanned Aerial Vehicles
    Ahmed, Mousumi
    Subbarao, Kamesh
    11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION (ICARCV 2010), 2010, : 1923 - 1927
  • [45] Privacy-Preserving Trajectory Matching on Autonomous Unmanned Aerial Vehicles
    Sciancalepore, Savio
    George, Dominik Roy
    PROCEEDINGS OF THE 38TH ANNUAL COMPUTER SECURITY APPLICATIONS CONFERENCE, ACSAC 2022, 2022, : 1 - 12
  • [46] Suboptimal trajectory programming for unmanned aerial vehicles with dynamic obstacle avoidance
    Guo, Hang
    Fu, Wen-xing
    Fu, Bin
    Chen, Kang
    Yan, Jie
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2019, 233 (10) : 3857 - 3869
  • [47] Testing Procedure of Unmanned Aerial Vehicles (UAVs) Trajectory in Automatic Missions
    Cwiakala, Pawel
    APPLIED SCIENCES-BASEL, 2019, 9 (17):
  • [48] Trajectory Planning of the Unmanned Aerial Vehicles with Adaptive Convex Optimization Method
    Sun, Xin
    Chai, Senchun
    Zhang, Baihai
    IFAC PAPERSONLINE, 2019, 52 (12): : 67 - 72
  • [49] Online environmentally adaptive trajectory planning for rotorcraft unmanned aerial vehicles
    Tong, Chunming
    Liu, Zhenbao
    Dang, Qingqing
    Wang, Jingyan
    Cheng, Yao
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2023, 95 (02): : 312 - 322
  • [50] Regional Trajectory Planning of Unmanned Aerial Vehicles Based on Spiral Spline
    Chen J.
    Dong W.
    Sheng X.
    Zhu X.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2019, 30 (12): : 1453 - 1459