Investigations into Load Spectra of UAVS Aircraft

Rodzewicz, Mirosław; Głowacki, Dominik

doi:10.2478/fas-2013-0004

Cited by 6 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Rodzewicz described a novel approach to load spectra estimation applied to UAVs. A number of tools have been developed in the LabVIEW environment, enabling an indepth analysis of flight log data [9]. Goerzen provided an overview of existing motion planning algorithms while adding perspectives and practical examples from UAV guidance approaches [10].…”

Section: Introductionmentioning

confidence: 99%

Optimizing UAV Photography: Strategies in Flight Control and Image Capture

zheng,

li,

xiao

et al. 2024

Preprint

View full text Add to dashboard Cite

This paper addresses the challenges faced by novice drone operators in mastering flight altitude, speed, and shooting angles. It analyzes strategies for adjusting these parameters to capture satisfactory photographs, focusing on four key questions. Firstly, it examines the geometric relationship between flight altitude and camera coverage area, establishing an optimization model for drone shooting accuracy. Secondly, it independently analyzes the numerical relationship between shooting angles and camera coverage area, identifying optimal shooting angles using a UAV shooting accuracy score optimization model. Thirdly, it develops a small UAV system model and ground target model, employing a recursive target tracking algorithm to continuously adjust shooting angles for target acquisition. Finally, it introduces a novel RRT* algorithm for path planning around obstacles encountered during flight. We use MATLAB to select a reasonable obstacle avoidance strategy, and the global optimal route is obtained by smoothing processing. Simulation results demonstrate model stability and robustness across varying flight conditions.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimizing UAV Photography: Strategies in Flight Control and Image Capture

zheng,

li,

xiao

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Rodzewicz described a novel approach to load spectra estimation applied to UAVs. A number of tools have been developed in the LabVIEW environment, enabling an in-depth analysis of flight log data [9]. Goerzen provided an overview of existing motion planning algorithms while adding perspectives and practical examples from UAV guidance approaches [10].…”

Section: Introductionmentioning

confidence: 99%

The optimization model of UAV shooting flight routes

Zheng¹,

Li²,

Xiao³

et al. 2023

Preprint

View full text Add to dashboard Cite

For the first drone operator, it is difficult to master the techniques of flight altitude, flight speed and shooting angle. The main task of this paper is to analyze how to adjust the flying height, flight speed and shooting angle of the drone and use the drone to take satisfactory photos. Mainly complete the following four questions. In the first part, we analyze the geometric relationship between the flying height and the camera's acquisition range area. Then, we set a pixel accuracy score index as the criterion. The sum of the weighted capture area and the pixel accuracy score is taken as the objective function, the flight height does not exceed the height limit area, and the unit pixel point is greater than 800 as the constraint condition. An optimization model for the accuracy of drone shooting was established. We use computer simulation to solve the accuracy method step by step. We obtain that the height range of the drone is [25 m, 100 m], and the optimal aerial height is 33 m when θ = 60º. In the second part, based on the first part, we independently analyzed the numerical relationship between the shooting angle and the camera acquisition range area. The sum of the captured area and the pixel accuracy score after updating the weight is the objective function, the shooting angle is the decision variable, and the UAV shooting accuracy score optimization model is used. The golden section algorithm is used to solve this problem. When the flying speed of the drone is 40 m/s and the flying height is 33 m, the optimal range of the shooting angle of the drone is [56.2248º, 77.4972º]. In the third part, we established a small UAV system model and a ground target model based on the knowledge of robotics. We generated motion trajectories of discrete and continuous states of the object. The recursive target tracking algorithm is used to continuously adjust the UAV shooting angle to ensure that the target is within its shooting area. Finally, the corresponding values of the two shooting angles with respect to time are obtained. The range of angle changes is [42.18º, 79.87º] and [32.81º, 79.89º]. In the fourth part, we generated 1 skyscraper, 2 signal towers, 3 telephone poles, 3 residential buildings, for a total of 9 obstacles. We present a new RRT* algorithm for path planning based on the obstacles encountered by UAVs during flight, that is, using the cost function to select the node with the minimum cost in the field of expanding nodes as the parent node, and the two new nodes are recalculated. We use MATLAB to select a reasonable obstacle avoidance strategy, and the global optimal route is obtained by smoothing processing. Finally, we verify the rationality of the model. Through computer simulation, we determine the three-dimensional field of flight speed constant, flying height and shooting angle with respect to the score, which proves model stability and robustness.

show abstract

“…To obtain such an array, the Rainflow Counting algorithm (RFC) was implemented. The HC-arrays were derived based on the assumed standard relation between LL and load factor n z : LL = 3 for n z = 6 and LL = 31 for n z = −3 (Głowacki and Rodzewicz, 2014).…”

Section: Introductionmentioning

confidence: 99%

Close-proximity, conservative extrapolation of load spectra

Rodzewicz

2022

AEAT

Self Cite

View full text Add to dashboard Cite

Purpose The purpose of this paper is to present the author’s method of conservative load spectrum (LS) derivation and close-proximity LS extrapolation applying a correction for measurement uncertainty caused by too low sampling frequency or signal noise, which may affect the load histories collected during the flying session and cause some recorded load increments to be lower than the actual values. Design/methodology/approach Having in mind that the recorded load signal is burdened with some measurement error, a conservative approach was applied during qualification of the recorded values into 32 discrete load-level intervals and derivation of 32 × 32 half-cycle arrays. A part of each cell value of the half-cycle array was dispersed into the neighboring cells placed above by using a random number generator. It resulted in an increase in the number of load increments, which were one or two intervals higher than those resulting from direct data processing. Such an array was termed a conservative clone of the actual LS. The close-proximity approximation consisted of multiplication of the LSs clones and their aggregation. This way, the LS for extended time of operation was obtained. The whole process was conducted in the MS Excel environment. Findings Fatigue life calculated for a chosen element of aircraft structure using conservative LS is about 20%–60% lower than for the actual LS (depending on the applied value of dispersion coefficients used in the procedure of LSs clones generation). It means that such a result gives a bigger safety margin when operational life of the aircraft is estimated or when the fatigue test for an extended operational period is programed based on a limited quantity of data from a flying session. Originality/value This paper presents a proposal for a novel, conservative approach to fatigue life estimation based on the short-term LS derived from the load signal recorded during the flying session.

show abstract

Investigations into Load Spectra of UAVS Aircraft

Abstract: The paper contains a description of a novel approach to the load spectra estimation applied to

Cited by 6 publications

References 3 publications

Optimizing UAV Photography: Strategies in Flight Control and Image Capture

Optimizing UAV Photography: Strategies in Flight Control and Image Capture

The optimization model of UAV shooting flight routes

Close-proximity, conservative extrapolation of load spectra

Contact Info

Product

Resources

About