CBL - Campus del Baix Llobregat

Projecte llegit

Títol: MT Adrian de la Morena Díaz

Estudiants que han llegit aquest projecte:

Director/a: AGUADO CHAO, JUAN CARLOS

Departament: ESAII

Títol: MT Adrian de la Morena Díaz

Data inici oferta: 19-10-2021     Data finalització oferta: 19-10-2021


Estudis d'assignació del projecte:
    MU AEROSPACE S&T 15
Tipus: Individual
 
Lloc de realització: ERASMUS
 
        Supervisor/a extern: Linghai Lu
        Institució/Empresa: Cranfield University
        Titulació del Director/a: BEng PhD MRAes SMAIAA
 
Paraules clau:
Bio-inspired systems, Echolocation, UAV, Guidance and navigation, Tau theory
 
Descripció del contingut i pla d'activitats:
An increase in drones deployment applications and a proliferation
in their mission types will result in increased operations
in harsh environments. The project seeks to discover how a bat-
inspired echolocation mechanism,
governed by the active mechanics of sonar sensor, can be
practically utilised to provide guidance for UAVs.
The primary objectives of the project are:
i) Analyse some BAT flight test data provided by John Hopkins
University
ii) Use Tau Theory to derive BAT Guidance, Navigation, and
stabilisation (GNS) strategy
iii) Demonstrate it in the MATLAB Simulink environment using the
default fixed-wing block.
 
Overview (resum en anglès):
The current research explores the connection between gazing and locomotion of acoustic guided animals and the application of this in autonomous vehicles guidance and navigation strategies. Research groups worldwide are currently investigating different technologies and autonomous guidance algorithm-based strategies. The use of nature-inspired innovations ensures both the efficiency and the robustness of guidance strategies. The current research looks to fill the lack of research of those methodologies using bio-inspired techniques for acoustic guided animals as only visual-based methodologies have been implemented for a variety of tasks. Also, to connect the results from bat¿s flight experiments of Moss et al. with the Tau Theory of David Lee. The connection between the Tau Theory and flight dynamics and manoeuvring is another interesting topic not only for autonomous navigation but also for handling qualities and safety improvement. After carrying out a data analysis of Bat¿s flight experiments through the cluttering of the environment and connecting the flight behaviour with the extensive research done upon environmental cues perception guiding locomotion action for visual and acoustic cues. This concept is in an early phase of development and therefore, the aim is to set the baseline for further research on the topic. Results showed that bats perform a controlled braking manoeuvre when closing gaps, which is coined the term ¿Energised Approach¿. However, biased errors were found in some cases hence the results were negatively impacted, causing the results to be inaccurate in certain phases of the analysis. Despite the error found post-analysis, the results found in this research can still be considered insightful however artificial intelligence algorithms should be incorporated in future studies in order to achieve a more accurate result and finding.

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