A Simulation Study of Micro-Drone Chemical Plume Tracking Performance in Tree Farm Environments

Eu, Kok Seng; Yap, Kian Meng; Tan, Wan Chew

doi:10.1007/978-3-319-70010-6_24

Search citation statements

Order By: Relevance

Paper Sections

Select...

Integration With Computational Fluid Dynamics (Cfd)1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Other1

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, a tree, a building block, or even a small hill, increases the complexity of the airflow vectors and plume propagation. With the use of the CFD software, the complicated airflow vectors can be calculated [34].…”

Section: Integration With Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%

A Chemical/Gas Plume Tracing Robot Simulator for Quadrotor Platforms: A Modified Gaussian-Meandering Plume Propagation Model

Yap

2019

MJCS

Self Cite

View full text Add to dashboard Cite

The process of evaluating the performance of chemical/gas plume tracing (CPT) algorithms is difficult because of real-world environmental parameters (i.e. surrounding wind) that are beyond researchers’ control, therefore, a CPT simulator can be useful. In this study, we design a modified Gaussian-meandering plume propagation model that is enhanced with the realistic characteristics of plume propagation such as meandering, internal intermittency, and vortices, which have not been modelled in the previous studies before. Subsequently, we use a computational fluid dynamics (CFD) software to generate the three-dimensional (3D) wind vectors and study the impact of quadrotor’s propellers, and then incorporating into the plume propagation design. On the whole, the study presented a complete CPT simulator for quadrotor platform with the realistic characteristics of plume propagation.

show abstract

Section: Integration With Computational Fluid Dynamics (Cfd)mentioning

confidence: 99%