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Información general |
| Autor |
Chen, Fuyang; Hou, Rui; Tao, Gang |
| Publicado |
InTech Open Access Publisher, 2012
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| Abstract |
In this paper, an adaptive controller is designed
for a UAV flight control system against faults and
parametric uncertainties based on quantum information
technology and the Popov hyperstability theory. First,
considering the bounded control input, the state feedback
controller is designed to make the system stable. The
model of adaptive control is introduced to eliminate the
impact by the uncertainties of system parameters via
quantum information technology. Then, according to the
model reference adaptive principle, an adaptive control
law based on the Popov hyperstability theory is designed.
This law enable better robustness of the flight control
system and tracking control performances. The closedloop
system’s stability is guaranteed by the Popov
hyperstability theory. The simulation results demonstrate
that a better dynamic performance of the UAV flight
control system with faults and parametric uncertainties
can be maintained with the proposed method. |
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International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publicado: 2004
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