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Chinese Academy of Sciences Institutional Repositories Grid
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长春光学精密机械与物... [1]
自动化研究所 [1]
新疆天文台 [1]
沈阳自动化研究所 [1]
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OAI收割 [4]
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期刊论文 [3]
会议论文 [1]
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2023 [1]
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2019 [1]
2008 [1]
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Fixed-time stability super-twisting sliding mode control with mismatched disturbances
期刊论文
OAI收割
MEASUREMENT & CONTROL, 2023, 页码: 14
作者:
Liang, Juan
;
Xu, Qian
;
Wang, Na
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2023/11/21
Fixed-time stability
mismatched disturbances
sliding mode control
variable gain super-twisting algorithm
Variable-gain control for continuum robots based on velocity sensitivity
期刊论文
OAI收割
Mechanism and Machine Theory, 2022, 卷号: 168, 页码: 1-17
作者:
Zhang, Xu
;
Liu, Yue
;
Branson, David T.
;
Yang CH(杨铖浩)
;
Dai JS(戴建生)
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/11/18
Continuum robot
Kinematic model
Variable gain control
Velocity sensitivity
Augmented fixed-time observer-based continuous robust control for hypersonic vehicles with measurement noises
期刊论文
OAI收割
IET CONTROL THEORY AND APPLICATIONS, 2019, 卷号: 13, 期号: 3, 页码: 422-433
作者:
Sun, Jinlin
;
Yi, Jianqiang
;
Pu, Zhiqiang
  |  
收藏
  |  
浏览/下载:72/0
  |  
提交时间:2019/07/12
linearisation techniques
observers
control system synthesis
vehicle dynamics
adaptive control
aircraft control
uncertain systems
robust control
variable structure systems
space vehicles
augmented fixed-time observer
measurement noises
cruise control
flexible air-breathing hypersonic vehicles
controller gains
finite-time convergence
fixed convergence time
FAHV
gain adaptation law
continuous robust control
input-output linearisation technique
Application research of intelligent algorithm in electric-driven flight simulation turntable (EI CONFERENCE)
会议论文
OAI收割
ISECS International Colloquium on Computing, Communication, Control, and Management, CCCM 2008, August 3, 2008 - August 4, 2008, Guangzhou, China
Xie M.-J.
;
Wang Z.-Q.
;
Wang L.-M.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2013/03/25
Application Research of Intelligent Algorithm in Electric-driven Flight Simulation Turntable is discussed in this paper. Fuzzy control is used to solve the problem of fast tracking and overshoot since its essence belongs to PD control In order to improve the performance of system in low speed
a method named variance-gain adaptive algorithm is introduced in this paper. It defines the amplifier gain as a function whose independent variable is speed
so the amplifier gain can automatically be adjusted with the change of speed. When the turntable runs at low speed
it has a big amplifier gain
a good rigidity and high tracking accuracy. When the turntable runs at high speed
the method can control the amplifier gain and ensure the system dynamic performance. Design and implementation of these algorithms is introduced in detail. Experiment results show that the Flight Simulation Turntable has achieved the required performance through using fuzzy control algorithm and variance-gain adaptive algorithm. 2008 IEEE.