TY - GEN
T1 - Performance Evaluation of Multirotor UAV by Considering the Balanced Pattern
AU - Lv, Min
AU - Lin, Cong
AU - Ma, Tianran
AU - Hong, Sheng
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The multirotor UAV is a typical k-out-of-n pair: G model, which means that the two rotors distributed on the same axis must be synchronized operating. That is to say, if a rotor is failed, then the opposite one soluble shut down to keep the UAV in a balanced state. However, the above-mentioned model does not consider the effect of torque generated by rotating rotors. Thus, the neutralization of torque, which is ignored by k-out-of-n pair: G model, must be considered. In this situation, we employ the k-out-of-n pair: G balanced model to describe the balanced pattern of the multirotor UAV. We use the finite Markov chain imbedding approach to establish the system reliability calculating equations for the UAV and we also derive the performance evaluation indexes, the mean residual capacity and the expected time to failure, which can be used to determine the usage of the UAV. Then, we use some numerical examples to demonstrate it is worthy of involving the balance pattern in the system modeling process, otherwise, the we may obtain an over optimistic reliability evaluation result that misguides the operation of the UAV.
AB - The multirotor UAV is a typical k-out-of-n pair: G model, which means that the two rotors distributed on the same axis must be synchronized operating. That is to say, if a rotor is failed, then the opposite one soluble shut down to keep the UAV in a balanced state. However, the above-mentioned model does not consider the effect of torque generated by rotating rotors. Thus, the neutralization of torque, which is ignored by k-out-of-n pair: G model, must be considered. In this situation, we employ the k-out-of-n pair: G balanced model to describe the balanced pattern of the multirotor UAV. We use the finite Markov chain imbedding approach to establish the system reliability calculating equations for the UAV and we also derive the performance evaluation indexes, the mean residual capacity and the expected time to failure, which can be used to determine the usage of the UAV. Then, we use some numerical examples to demonstrate it is worthy of involving the balance pattern in the system modeling process, otherwise, the we may obtain an over optimistic reliability evaluation result that misguides the operation of the UAV.
KW - Finite Markov chain imbedding approach
KW - Performance evaluation
KW - System reliability
KW - k-out-of-n pair: G balanced model
UR - https://www.scopus.com/pages/publications/85097138642
U2 - 10.1007/978-3-030-62460-6_41
DO - 10.1007/978-3-030-62460-6_41
M3 - 会议稿件
AN - SCOPUS:85097138642
SN - 9783030624590
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 452
EP - 462
BT - Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Proceedings
A2 - Chen, Xiaofeng
A2 - Yan, Hongyang
A2 - Yan, Qiben
A2 - Zhang, Xiangliang
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Machine Learning for Cyber Security, ML4CS 2020
Y2 - 8 October 2020 through 10 October 2020
ER -