中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
沈阳自动化研究所 [4]
长春光学精密机械与物... [2]
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OAI收割 [6]
内容类型
会议论文 [4]
期刊论文 [2]
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2015 [2]
2014 [1]
2012 [1]
2008 [2]
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Dual-layer fuzzy control architecture for the CAS rover arm
期刊论文
OAI收割
International Journal of Control, Automation and Systems, 2015, 卷号: 13, 期号: 5, 页码: 1262-1271
作者:
Gao HW(高宏伟)
;
Liu JG(刘金国)
;
Li YM(李杨民)
;
Hong, Kun
;
Zhang Y(张阳)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2015/07/05
CAS rover arm
force control
fuzzy impedance
fuzzy PD
Fuzzy adaptive PD control for quadrotor helicopter
会议论文
OAI收割
2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), Shenyang, China, June 8-12, 2015
作者:
Gao HW(高宏伟)
;
Liu CY(刘传银)
;
Guo, Dongliang
;
Liu JG(刘金国)
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2015/12/24
Quadrotor
fuzzy control
PD
dynamic model
Velocity Control System withVariable Universe Adaptive Fuzzy-PD Method for Agricultural Vehicles
会议论文
OAI收割
11th World Congress on Intelligent Control and Automation (WCICA 2014), Shenyang, China, June 29 - July 4, 2014
作者:
Guo N(郭娜)
;
Hu JT(胡静涛)
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2014/12/29
variable universe
fuzzy-PD
incomplete derivative
rice transplanter
tractor.
3R plane robot impedance control based on fuzzy PD controller
期刊论文
OAI收割
Journal of Convergence Information Technology, 2012, 卷号: 7, 期号: 20, 页码: 234-241
作者:
Gao HW(高宏伟)
;
Hong K(洪昆)
;
Song JH(宋建辉)
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2012/12/28
3R Plane Robot
Kinematics
Dynamics
Fuzzy PD
Impedance Control
Implementation and stability analysis of the fuzzy controller based on electric-driven 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 L.-M.
;
Wang Z.-Q.
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  |  
浏览/下载:23/0
  |  
提交时间:2013/03/25
Fuzzy controller was used to resolve the problem of fast tracking and overshoot in electric-driven simulation turntable
for its essence belongs to PD control In this system
the control rules of fuzzy controller were established according to the step dynamic response process
for the speed loop of this system was predigested to be second-orders system. The describing function method was adopted to analyze the stability of the fuzzy control system. It gave the information of stability of system intuitively. The fuzzy controller had been applied in this system successfully. The simulation turntable had no overshooting nearly when its step input signal was close to 90. Experimental results show the implementation method of fuzzy controller is not only simple but also effectual in engineering practice. It also provides an approach of design of fuzzy controller for motion control system. 2008 IEEE.
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:49/0
  |  
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.