TY - GEN
T1 - Safe Bilateral Teleoperation for a UAV Using Control Barrier Functions and Passivity
AU - Liu, Kai Yuan
AU - Ibuki, Tatsuya
AU - Liu, Yen Chen
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In this work, an optimization-based control scheme for a bilateral teleopered unmanned aerial vehicle (UAV) is proposed using control barrier functions (CBFs) and passivity. We consider a human operator moving the position of an end effector of a haptic device as the velocity command input to the UAV. The CBF is applied as a constraint to maintain the collision-free motion of the UAV for safety. On the other hand, to preserve the stability of the system, we consider passivity as another constraint together, but it leads to undesired behavior of an optimal solution for haptic feedback. To deal with the issue, the strategy called energy tank for passivity is included to replace the condition of strict output passivity. The aforementioned designs are formalized as a quadratically constrained quadratic program (QCQP) to solve numerically. Through numerical examples, we have a comprehensive discussion about the features of the proposed controller with better safety. The experimental results verify the effectiveness of our method in practice.
AB - In this work, an optimization-based control scheme for a bilateral teleopered unmanned aerial vehicle (UAV) is proposed using control barrier functions (CBFs) and passivity. We consider a human operator moving the position of an end effector of a haptic device as the velocity command input to the UAV. The CBF is applied as a constraint to maintain the collision-free motion of the UAV for safety. On the other hand, to preserve the stability of the system, we consider passivity as another constraint together, but it leads to undesired behavior of an optimal solution for haptic feedback. To deal with the issue, the strategy called energy tank for passivity is included to replace the condition of strict output passivity. The aforementioned designs are formalized as a quadratically constrained quadratic program (QCQP) to solve numerically. Through numerical examples, we have a comprehensive discussion about the features of the proposed controller with better safety. The experimental results verify the effectiveness of our method in practice.
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U2 - 10.1109/SMC53992.2023.10394030
DO - 10.1109/SMC53992.2023.10394030
M3 - Conference contribution
AN - SCOPUS:85187258794
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 1494
EP - 1499
BT - 2023 IEEE International Conference on Systems, Man, and Cybernetics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023
Y2 - 1 October 2023 through 4 October 2023
ER -