A markov process based approach for reliability evaluation of the propulsion system in multi-rotor drones presentation
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The document discusses a Markov process-based approach for evaluating the reliability of propulsion systems in multi-rotor drones, focusing on different rotor configurations and their implications on mean time to failure (MTTF). It presents numerical results and validates the models through Monte Carlo simulations, concluding that hexacopters with a pnpnpn configuration are more reliable than those with a ppnnpn configuration. Additionally, it introduces a systematic mission avoidance and recovery procedure to enhance reliability based on MTTF calculations.
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Applications of Drones
Cargo Delivery
Entertainment
Agricultural
Search and
Rescue
UAV Applications
Reliability Definition: The quality of being trustworthy or of performing consistently well.
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A markov process based approach for reliability evaluation of the propulsion system in multi-rotor drones presentation
- 1. 1 A Markov Process-based Approach for Reliability Evaluation of the Propulsion System in Multi-Rotor Drones Koorosh Aslansefat, Francisco Marques, Ricardo Mendonça and José Barata
- 2. 2 Table of Content What we are going to discuss Introduction Brief introduction for drones and the importance of reliability evaluation Markov Modelling, Simplification and Validation Markov modelling of drones with different configurations, simplification of models, and model validation through Monte Carlo Simulations Numerical Results Numerical results for reliability and MTTF Conclusion A conclusion and suggestions for future works
- 3. 3 Applications of Drones Cargo Delivery Entertainment Agricultural Search and Rescue UAV Applications Reliability Definition: The quality of being trustworthy or of performing consistently well. [3]
- 4. 4 Drones Market A quick report Reference: www.droneii.com
- 5. 5 Assumptions CFP Dissemination At the beginning, system is always operational There is no common cause failure in the system During the mission repair is not possible The failure rates of the components obey an exponential probability distribution function. ● Probability Distribution Function of Failures - ( ) 1- t F t e
- 6. 6 Markov Modelling Hexa-Copter PNPNPN Configuration
- 7. 7 Simplified Markov Model Hexa-Copter PNPNPN Configuration 𝜆 = 𝜆 𝑎= 𝜆 𝑏 = 𝜆 𝑐 = 𝜆 𝑑 = 𝜆 𝑒 = 𝜆 𝑓
- 8. 8 Markov Modelling Hexa-Copter PPNNPN Configuration
- 9. 9 Simplified Markov Model Hexa-Copter PPNNPN Configuration 𝜆 = 𝜆 𝑎= 𝜆 𝑏 = 𝜆 𝑐 = 𝜆 𝑑 = 𝜆 𝑒 = 𝜆 𝑓
- 10. 10 Model Validation Through Monte Carlo Simulation Hexa-Copter PNPNPN Configuration Markov SolutionMonte Carlo (1e06 Iteration)Reliability (Mission Time) VarianceMean 0.8407211.32e-30.841404R(5) 0.5775021.32e-30.578312R(10) 0.3586761.32e-30.357543R(15) 0.2102881.32e-30.211128R(20) 0.1190511.32e-30.117153R(25) 0.0659571.32e-30.066433R(30) 0.0360631.32e-30.036925R(35)
- 11. 11 Mean time to failure of hexacopter vs. failure rate of each rotor Numerical Results Reliability and MTTF Evaluation Reliability evaluation of Multirotors (Quadcopter and Hexacopter) vs. failure rate of each rotor at two hours of mission
- 12. 12 Numerical Results Reliability and MTTF Evaluation Reliability evaluation of Multirotors (Quadcopter and Hexacopter) vs. time with failure rate of 0.04 failure/hour Failure Situations 6 M 5 M 4 M* 4 M 3 M MTTF 13.75 9.58 6.25 8.33 8.33 6 M 5 M -- 4 M -- MTTF 9.17 7.50 -- 6.25 0 Mean time to failure analysis of quadrotor from each system’s states with failure rate of 0.04 failure/hour
- 13. 13 Flowchart of the Proposed Markov-based Fault Detection and Recovery System for Multirotors
- 14. 14 Conclusion For the first time, the Markov models of propulsion system in drones with different configurations and number of rotors have been provided and validated through Monte Carlo Simulation. Increasing the number of rotors in drones can improve their reliability and also Mean Time To Failure (MTTF). In Hexa-Copters, the PNPNPN configuration is more reliable than PPNNPN configuration and it has a better MTTF. A systematic mission avoidance and recovery procedure has been defined to reduce the risk of mission based on MTTF calculation.
- 15. 15 References Barr, L. C., Newman, R. L., Ancel, E., Belcastro, C. M., Foster, J. V., Evans, J. K., & Klyde, D. H. (2017). Preliminary Risk Assessment for Small Unmanned Aircraft Systems. 17th AIAA Aviation Technology, Integration, and Operations Conference. Denver, Colorado. Belcastro, C. M., Klyde, D. H., Logan, M. J., Newman, R. L., & Foster, J. V. (2017). Experimental Flight Testing for Assessing the Safety of Unmanned Aircraft System Safety-Critical Operations. 17th AIAA Aviation Technology, Integration, and Operations Conference. Denver, Colorado. Belcastro, C. M., Newman, R. L., Evans, J. K., Klyde, D. H., Barr, L. C., & Ancel, E. (2017). Hazards Identification and Analysis for Unmanned Aircraft System Operations. 17th AIAA Aviation Technology, Integration, and Operations Conference. Denver, Colorado. De Medeiros, I. P., Rodrigues, L. R., Santos, R., Shiguemori, E. H., & Júnior, C. L. (2014). PHM-Based Multi-UAV Task Assignment. 8th Annual IEEE Systems Conference (SysCon). Ottawa, ON, Canada. Dubrova, E. (2013). Fault-Tolerant Design. Berlin: Springer. Juliana de Oliveira Martins Franco, B., & Carlos Sandoval Góes, L. (2007). Failure Analysis Methods in Unmanned Arial Vehicle (UAV) Applications. 19th International Congress of Mechanical Engineering. Brazil. Murtha, J. F. (2009). Evidence Theory and Fault-tree Analysis to Cost-effectively Improve Reliability in Small UAV Design. Virginia, USA: Virginia Polytechnic Institute & State University. Olson, I., & Atkins, E. M. (2013). Qualitative Failure Analysis for a Small Quadrotor Unmanned Aircraft System. AIAA Guidance, Navigation, and Control (GNC) Conference. Boston, MA. Sadeghzadeh, I., Mehta, A., & Zhang, Y. (2011). Fault/Damage Tolerant Control of a Quadrotor Helicopter UAV Using Model Reference Adaptive Control and Gain-Scheduled PID. AIAA Guidance, Navigation, and Control Conference. Portland, Oregon. Shi, D., Yang, B., & Quan, Q. (2016). Reliability Analysis of Multicopter Configurations Based on Controllability Theory. IEEE 35th Chinese Control Conference. Chengdu, China.
- 16. 16 Thanks for Your Attention If you have any question please fill free to ask