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Modeling and Robust Backstepping Sliding Mode Control with Adaptive RBFNN for a Novel Coaxial Eight-rotor UAV
被引量:
13
1
作者
Cheng Peng
Yue Bai
+3 位作者
Xun Gong
qingjia gao
Changjun Zhao
Yantao Tian
《IEEE/CAA Journal of Automatica Sinica》
SCIE
EI
2015年第1期56-64,共9页
This paper focuses on the robust attitude control of a novel coaxial eight-rotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against disturbances than quad-rotor UAV....
This paper focuses on the robust attitude control of a novel coaxial eight-rotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against disturbances than quad-rotor UAV. The dynamical and kinematical model for the coaxial eight-rotor UAV is developed, which has never been proposed before. A robust backstepping sliding mode controller (BSMC) with adaptive radial basis function neural network (RBFNN) is proposed to control the attitude of the eightrotor UAV in the presence of model uncertainties and external disturbances. The combinative method of backstepping control and sliding mode control has improved robustness and simplified design procedure benefiting from the advantages of both controllers. The adaptive RBFNN as the uncertainty observer can effectively estimate the lumped uncertainties without the knowledge of their bounds for the eight-rotor UAV. Additionally, the adaptive learning algorithm, which can learn the parameters of RBFNN online and compensate the approximation error, is derived using Lyapunov stability theorem. And then the uniformly ultimate stability of the eight-rotor system is proved. Finally, simulation results demonstrate the validity of the proposed robust control method adopted in the novel coaxial eight-rotor UAV in the case of model uncertainties and external disturbances. © 2014 Chinese Association of Automation.
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关键词
Adaptive
control
systems
Aircraft
control
Approximation
algorithms
Attitude
control
BACKSTEPPING
Controllers
Functions
Learning
algorithms
Radial
basis
function
networks
Robust
control
Robustness
(control
systems)
Sliding
mode
control
Uncertainty
analysis
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职称材料
题名
Modeling and Robust Backstepping Sliding Mode Control with Adaptive RBFNN for a Novel Coaxial Eight-rotor UAV
被引量:
13
1
作者
Cheng Peng
Yue Bai
Xun Gong
qingjia gao
Changjun Zhao
Yantao Tian
机构
the Department of Control Science and Engineering
the Changchun Institute of Optics
Changchun Institute of Optics
University of Chinese Academy of Sciences
出处
《IEEE/CAA Journal of Automatica Sinica》
SCIE
EI
2015年第1期56-64,共9页
基金
supported by National Natural Science Foundation of China(11372309,61304017)
文摘
This paper focuses on the robust attitude control of a novel coaxial eight-rotor unmanned aerial vehicles (UAV) which has higher drive capability as well as greater robustness against disturbances than quad-rotor UAV. The dynamical and kinematical model for the coaxial eight-rotor UAV is developed, which has never been proposed before. A robust backstepping sliding mode controller (BSMC) with adaptive radial basis function neural network (RBFNN) is proposed to control the attitude of the eightrotor UAV in the presence of model uncertainties and external disturbances. The combinative method of backstepping control and sliding mode control has improved robustness and simplified design procedure benefiting from the advantages of both controllers. The adaptive RBFNN as the uncertainty observer can effectively estimate the lumped uncertainties without the knowledge of their bounds for the eight-rotor UAV. Additionally, the adaptive learning algorithm, which can learn the parameters of RBFNN online and compensate the approximation error, is derived using Lyapunov stability theorem. And then the uniformly ultimate stability of the eight-rotor system is proved. Finally, simulation results demonstrate the validity of the proposed robust control method adopted in the novel coaxial eight-rotor UAV in the case of model uncertainties and external disturbances. © 2014 Chinese Association of Automation.
关键词
Adaptive
control
systems
Aircraft
control
Approximation
algorithms
Attitude
control
BACKSTEPPING
Controllers
Functions
Learning
algorithms
Radial
basis
function
networks
Robust
control
Robustness
(control
systems)
Sliding
mode
control
Uncertainty
analysis
Keywords
Coaxial eight-rotor UAV
model uncertainties
external disturbances
robust backstepping sliding mode controller
adaptive radial basis function neural network
分类号
V279 [航空宇航科学与技术—飞行器设计]
V249.1 [航空宇航科学与技术—飞行器设计]
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作者
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1
Modeling and Robust Backstepping Sliding Mode Control with Adaptive RBFNN for a Novel Coaxial Eight-rotor UAV
Cheng Peng
Yue Bai
Xun Gong
qingjia gao
Changjun Zhao
Yantao Tian
《IEEE/CAA Journal of Automatica Sinica》
SCIE
EI
2015
13
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