Optimization Method of High-Precision Control Device for Photoelectric Detection of Unmanned Aerial Vehicle Based on POS Data
Open Access
- 25 September 2022
- journal article
- research article
- Published by Hindawi Limited in Scientific Programming
- Vol. 2022, 1-10
Abstract
With the rapid development of modern technology, due to the light-weight, small size, and good concealment, unmanned aerial vehicle (UAV) has received much attention from the society and has been vigorously promoted. Photoelectric tracking detection system is an important means in the field of modern detection. The combination of a UAV and photoelectric detection system can effectively play an important role in reconnaissance and exploration, target positioning, communication, and navigation. At present, the relevant personnel have higher and higher requirements for the accuracy of the photoelectric detection function of UAV, and the original POS data relied on by the existing photoelectric detection devices of UAV has systematic errors, which leads to the low accuracy of photoelectric detection control. Therefore, in order to achieve the purpose of improving the high-precision control of the photoelectric detection device of UAV, this paper designed an optimization method for the high-precision control device of photoelectric detection of UAV based on POS data. Firstly, the improved PID control algorithm is applied to the optimization of the UAV control device, and secondly the error correction model is established by analyzing the error source, and the original POS data is corrected by the model. This paper used the designed high-precision control device optimization algorithm and the traditional algorithm to compare the stability control experiments of the UAV platform, respectively. The experimental results showed that the application of the improved UAV photoelectric detection control device optimization method could effectively improve the control device optimization accuracy of UAV photoelectric detection by 8.23, which was conducive to the efficient implementation of the project.Keywords
This publication has 15 references indexed in Scilit:
- In the blink of an eyeACM Transactions on Graphics, 2018
- A Real-time Gravity Compensation Method for a High-Precision Airborne Position and Orientation System based on a Gravity MapJournal of Navigation, 2018
- Sparsity constraint nearest subspace classifier for target recognition of SAR imagesJournal of Visual Communication and Image Representation, 2018
- UAV-assisted technique for the detection of malicious and selfish nodes in VANETsVehicular Communications, 2018
- Automatic Hotspot and Sun Glint Detection in UAV Multispectral ImagesSensors, 2017
- Novelty Detection Classifiers in Weed Mapping: Silybum marianum Detection on UAV Multispectral ImagesSensors, 2017
- Photodetection-induced relative timing jitter in synchronized time-lens source for coherent Raman scattering microscopyJournal of Innovative Optical Health Sciences, 2017
- Regularized 2-D complex-log spectral analysis and subspace reliability analysis of micro-Doppler signature for UAV detectionPattern Recognition, 2017
- A factor graph-based iterative detection of faster-than-Nyquist signaling in the presence of phase noise and carrier frequency offsetDigital Signal Processing, 2017
- Airborne Position and Orientation System for Aerial Remote SensingInternational Journal of Aerospace Engineering, 2017