Fuzzy-based fault-tolerant control of micro aerial vehicles (MAV) - a preliminary study
Added Title
HNICEM 2017
International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (9th : 2017)
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume
2018
Issue
January
First Page
1
Last Page
4
Publication Date
1-24-2018
Abstract
Unmanned Aerial Vehicles (UAV) has gained popularity in the past decades. This has been widely used throughout the world in the fields of military, surveillance, agriculture, and construction. One of the main problems in Micro Aerial Vehicles (MAV), typically smaller version of UAV, is its ability to detect and tolerate faults inside the system. In this paper, a Fault-Tolerant Control (FTC) will be developed using fuzzy logic and uses battery percentage and degree of ability to hover as the crisp inputs. The fuzzy logic will use five and three membership functions for the Battery Percentage and Degree of Ability to Hover respectively. The output of the controller will be the degree of ability to continue a certain mission. Further studies can include other constraints such as mapping efficiency where neural networks and deep learning can be associated. Thus, making a hybrid system.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2017.8269562
Recommended Citation
Padilla, M. F., Lao, S. C., Baldovino, R. G., Bandala, A. A., & Dadios, E. B. (2018). Fuzzy-based fault-tolerant control of micro aerial vehicles (MAV) - a preliminary study. HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, 2018 (January), 1-4. https://doi.org/10.1109/HNICEM.2017.8269562
Disciplines
Electrical and Computer Engineering
Keywords
Fault tolerance (Engineering); Micro air vehicles—Control systems
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