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长春光学精密机械与物... [3]
宁波材料技术与工程研... [1]
西安光学精密机械研究... [1]
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OAI收割 [5]
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会议论文 [4]
期刊论文 [1]
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2022 [1]
2016 [1]
2011 [1]
2010 [2]
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Active Disturbance Rejection Control for Speed Control of PMSM Based on Auxiliary Model and Supervisory RBF
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2022, 卷号: 12, 期号: 21
作者:
Gao, Peng
;
Su, Xiuqin
;
Pan, Zhibin
;
Xiao, Maosen
;
Zhang, Wenbo
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/11/30
active disturbance rejection control
permanent magnet synchronous motor
extended state observer
auxiliary model
radial basis function
friction compensation
Parameters Identification and Adaptive Feedforward Control of Permanent Magnent Linear Synchronous Motor
会议论文
OAI收割
JUN 05-07, 2016
作者:
Chi, Z
;
Liu, Rui
;
Zhang, Chi
;
Shen, Linyong
;
Zhao, Fei
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2018/01/12
Linear Motor
Parameters Identification
Unbiased Least Squares Estimation
Friction Compensation
Control strategies and error compensation methods of high precision gyro stabilized platform (EI CONFERENCE)
会议论文
OAI收割
30th Chinese Control Conference, CCC 2011, July 22, 2011 - July 24, 2011, Yantai, China
Deng K.
;
Cong S.
;
Shen H.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
Based on the principle of gyroscope and the structure of gyro stabilized platform
this paper gives the analysis and comparison of control strategies for stable platform included classical PID control
and three kinds of advanced strategies: Fuzzy Control
Sliding Mode Variable Structure Control and Active Disturbance Rejection Control. The compensation methods for stable platform's error are also discussed and evaluated based on the sources of error
especially for the non-linear friction and gyro drift. The paper provides the reliable methods for recognizing and improving the accuracy of gyro stabilized platform from the control strategies and error compensations. 2011 Chinese Assoc of Automation.
High precision test method for dynamic imaging of space camera (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE International Conference on Advanced Computer Control, ICACC 2010, March 27, 2010 - March 29, 2010, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
作者:
Jin L.-X.
;
Zhang K.
;
Zhang K.
;
Zhang K.
;
Zhang K.
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2013/03/25
A test method for dynamic imaging of space TDICCD (Time Delay and Integration Charge Coupled Devices) camera was presented in this paper. The test method adopted the PLL (Phase Locked Loop) technology and CMAC (Cerebella Model Articulation Controller) friction compensation as control strategy. Furthermore
According to this method
a test system for dynamic imaging of space TDICCD camera was designed and implemented. The system simulated the movement of the ground objects relative to the space aerocraft
to validate the capability of image speed match and the dynamic imaging quality of TDICCD camera. The design adopted a precision turntable and a drift turntable to simulate the movement around the earth and the drift motion in different latitude due to the rotation of earth
of the aerocraft. The turntables were drived by permanent magnet torque motor which was powered by PWM (Pulse Width Modulation). The system adopted DSP (Digital Signal Processor) as the control core and reached a very high performance. The experimental results showed that the steady speed error was better than 0.01 % and the instantaneous speed error reached 0.0267%. The precision of the test system designed met the requirement for dynamic imaging of TDICCD camera. 2010 IEEE.
A 3-axis simulator for spacecraft attitude control research (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE International Conference on Information and Automation, ICIA 2010, June 20, 2010 - June 23, 2010, Harbin, Heilongjiang, China
作者:
Dai L.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
This article presents the details of a new 3-axis simulator for spacecraft attitude control research and simulation. The air bearing allows the test bed to rotate about three axes with tiny friction. The attitude determination system consists of three fibre optical gyros
an inclinometer and a magnetometer. The actuator of the system consists of three reaction flywheels and four control moment gyros (CMG). Mathematical models of the sensors and actuators are given to help algorithm design. An extended Kalman filter was designed to provide attitude information for controller. Mathematical simulation results prove the attitude determination system can achieve high precision. A coulomb friction model of reaction wheels is given with experimental results. A friction compensation algorithm was developed to raise the pointing accuracy of the control system. The article also describes the details of the hardware structure. A PD stabilizing controller is implemented to test the validation of the whole control system at last. 2010 IEEE.