Abstract
Autonomous multirotor drones as a popular type of Unmanned Aerial Vehicles (UAVs) have a tremendous potential to facilitate activities such as logistics, emergency response, recording video, capturing special events, and traffic management. Despite the potential benefits the possibility of harming people during operation should be considered. This paper focuses on modeling the multirotor drones’ propulsion system with Markov chains. Using the proposed model, both reliability and Mean Time To Failure (MTTF) of the propulsion system are evaluated. This study proposes a fault detection and recovery system based on a Markov Model for mission control of multirotor drones. Concretely, the proposed system aims to reduce potential injuries by increasing safety.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Belcastro, C.M., Klyde, D.H., Logan, M.J., Newman, R.L., Foster, J.V.: Experimental flight testing for assessing the safety of unmanned aircraft system safety-critical operations. In: 17th AIAA Aviation Technology, Integration, and Operations Conference, Denver, Colorado (2017)
Dubrova, E.: Fault-Tolerant Design. Springer, Berlin (2013). https://doi.org/10.1007/978-1-4614-2113-9
Murtha, J.F.: Evidence theory and fault-tree analysis to cost-effectively improve reliability in small UAV design (2009)
Olson, I., Atkins, E. M.: Qualitative failure analysis for a small quadrotor unmanned aircraft system. In: AIAA Guidance, Navigation, and Control (GNC) Conference, Boston, MA (2013)
Sadeghzadeh, I., Mehta, A., Zhang, Y.: Fault/damage tolerant control of a quadrotor helicopter UAV using model reference adaptive control and gain-scheduled PID. In: AIAA Guidance, Navigation, and Control Conference, Portland, Oregon (2011)
Shi, D., Yang, B., Quan, Q.: Reliability analysis of multicopter configurations based on controllability theory. In: IEEE 35th Chinese Control Conference, Chengdu, China (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 IFIP International Federation for Information Processing
About this paper
Cite this paper
Aslansefat, K., Marques, F., Mendonça, R., Barata, J. (2019). A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones. In: Camarinha-Matos, L., Almeida, R., Oliveira, J. (eds) Technological Innovation for Industry and Service Systems. DoCEIS 2019. IFIP Advances in Information and Communication Technology, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-030-17771-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-17771-3_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-17770-6
Online ISBN: 978-3-030-17771-3
eBook Packages: Computer ScienceComputer Science (R0)
