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浏览/检索结果: 共14条,第1-10条 帮助

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Towards a theoretical foundation of PID control for uncertain nonlinear systems 期刊论文  OAI收割
AUTOMATICA, 2022, 卷号: 142, 页码: 12
作者:  
Zhao, Cheng;  Guo, Lei
  |  收藏  |  浏览/下载:20/0  |  提交时间:2023/02/07
PID Control of Planar Nonlinear Uncertain Systems in the Presence of Actuator Saturation 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 1, 页码: 90-98
作者:  
Xujun Lyu;  Zongli Lin
  |  收藏  |  浏览/下载:59/0  |  提交时间:2021/11/03
Control of Nonlinear Uncertain Systems by Extended PID 期刊论文  OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 卷号: 66, 期号: 8, 页码: 3840-3847
作者:  
Zhao, Cheng;  Guo, Lei
  |  收藏  |  浏览/下载:25/0  |  提交时间:2021/10/26
A parameter formula connecting PID and ADRC 期刊论文  OAI收割
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 13
作者:  
Zhong, Sheng;  Huang, Yi;  Guo, Lei
  |  收藏  |  浏览/下载:29/0  |  提交时间:2020/09/23
Feedback and uncertainty: Some basic problems and results 期刊论文  OAI收割
ANNUAL REVIEWS IN CONTROL, 2020, 卷号: 49, 页码: 27-36
作者:  
Guo, Lei
  |  收藏  |  浏览/下载:21/0  |  提交时间:2021/01/14
Double inverted pendulum control based on three-loop PID and improved BP neural network (EI CONFERENCE) 会议论文  OAI收割
2011 2nd International Conference on Digital Manufacturing and Automation, ICDMA 2011, August 5, 2011 - August 7, 2011, Zhangjiajie, Hunan, China
作者:  
Fan Y.
收藏  |  浏览/下载:37/0  |  提交时间:2013/03/25
To deal with the defects of BP neural networks used in balance control of inverted pendulum  such as longer train time and converging in partial minimum  this article reaLizes the control of double inverted pendulum with improved BP algorithm of artificial neural networks(ANN)  builds up a training model of test simulation and the BP network is 6-10-1 structure. Tansig function is used in hidden layer and PureLin function is used in output layer  LM is used in training algorithm. The training data is acquried by three-loop PID algorithm. The model is learned and trained with Matlab calculating software  and the simuLink simulation experiment results prove that improved BP algorithm for inverted pendulum control has higher precision  better astringency and lower calculation. This algorithm has wide appLication on nonLinear control and robust control field in particular. 2011 IEEE.  
Nonlinear control design for system with mechanical resonance based on two tracking-differentiators (EI CONFERENCE) 会议论文  OAI收割
2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010, August 4, 2010 - August 7, 2010, Xi'an, China
作者:  
Li J.;  Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:22/0  |  提交时间:2013/03/25
A nonlinear control strategy for controlling a motion system with mechanical resonance is presented in this paper. A mathematical model of the servo system is derived according to the parameters of an actual system. By using two Tracking-Differentiators  reference input and system output are tracked and their differential signals are given simultaneously. A nonlinear PD control law in velocity loop is designed based on non-smooth feedback. The simulation results show that the control law is superior remarkably in performance to linear PD control law and the classical PID control law. Tracking-Differentiator resolves the contradiction between rapidity and overshoot of system response. The nonlinear PD control law improves system dynamic performance and intensifies the ability of disturbance rejection. The control design achieved in this paper makes the servo system more robust. 2010 IEEE.  
From PID to Active Disturbance Rejection Control 期刊论文  OAI收割
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 卷号: 56, 期号: 3, 页码: 900-906
作者:  
Han, Jingqing
  |  收藏  |  浏览/下载:69/0  |  提交时间:2018/07/30
Study of adaptive inverse control to stale platform (EI CONFERENCE) 会议论文  OAI收割
International Conference on Computer Science and Software Engineering, CSSE 2008, December 12, 2008 - December 14, 2008, Wuhan, Hubei, China
作者:  
Li Y.;  Li Y.;  Li Y.;  Li Y.
收藏  |  浏览/下载:24/0  |  提交时间:2013/03/25
Stable platform is a complicated nonlinear system. The common PID control can not meet the requirement of high precision and fast response. The adaptive inverse control was introduced in the system of stable platform. Based on it  the system utilize its character of open circle to improve system capability. In the model building to object model and object inverse model  the NARX network is used. The algorithm uses the least square method instead of least square(LMS) to identify the parameters and design the control. The simulation results show several advantages of this control strategy  such as sensitive response  non-overshoot  good anti-disturbance  and minimal stable error  and showed dynamic/static performance was superior to those of conventional PID method. 2008 IEEE.  
The Ultra-low Speed Research on Friction Drive of Large telescope 会议论文  OAI收割
Orlando, FL, 2006-5-24
作者:  
Daxing WANG;  Fujia DU
收藏  |  浏览/下载:27/0  |  提交时间:2013/12/28