TY - GEN
T1 - Dynamic control allocation for a stratospheric airship with redundant control systems
AU - Zhu, Ming
AU - Liu, Lisha
AU - Zheng, Zewei
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - This paper proposes a dynamic control allocation method based on constrained optimal quadratic programming for the stratospheric airship with redundant systems. To ensure a given control command is well distributed among an available set of actuators, the control system is divided into two levels. A high-level controller is based on dynamic-inverse method to derive the pseudo-control law for the low-level controller. The control input of the actuators can be obtained by two principles, one is keeping the control input close to the desired steady-state value, and the other is minimizing the change between the current control input and the preceding one as well as the one before. This approach considers both physical constraints and dynamic responses of actuators. In addition, when a fault occurs, it can change the weight coefficient of the actuator to ensure that the fault is well distributed among the fault-free actuators without reconfiguring the high-level controller. Several simulations illustrate the feasibility of the control law and show advantages for practical application.
AB - This paper proposes a dynamic control allocation method based on constrained optimal quadratic programming for the stratospheric airship with redundant systems. To ensure a given control command is well distributed among an available set of actuators, the control system is divided into two levels. A high-level controller is based on dynamic-inverse method to derive the pseudo-control law for the low-level controller. The control input of the actuators can be obtained by two principles, one is keeping the control input close to the desired steady-state value, and the other is minimizing the change between the current control input and the preceding one as well as the one before. This approach considers both physical constraints and dynamic responses of actuators. In addition, when a fault occurs, it can change the weight coefficient of the actuator to ensure that the fault is well distributed among the fault-free actuators without reconfiguring the high-level controller. Several simulations illustrate the feasibility of the control law and show advantages for practical application.
KW - Constrained Quadratic Programming
KW - Dynamic Control Allocation
KW - Dynamic-inverse
KW - Stratospheric Airship
UR - https://www.scopus.com/pages/publications/84945543455
U2 - 10.1109/CCDC.2015.7162392
DO - 10.1109/CCDC.2015.7162392
M3 - 会议稿件
AN - SCOPUS:84945543455
T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
SP - 2716
EP - 2723
BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Chinese Control and Decision Conference, CCDC 2015
Y2 - 23 May 2015 through 25 May 2015
ER -