Kalman Estimator-Based State-Feedback High-Precision Positioning Control for a Micro-scale Air-Bearing Stage

2009 ◽  
pp. 765-775
Author(s):  
ZeGuang Dong ◽  
PinKuan Liu ◽  
Han Ding
Keyword(s):  
High Precision ◽  
State Feedback ◽  
Air Bearing ◽  
Precision Positioning ◽  
Positioning Control ◽  
Micro Scale

scholarly journals High Precision Positioning Control using High-Power Electrostatic Linear Drive.

1998 ◽  
Vol 64 (9) ◽  
pp. 1385-1389 ◽  
Author(s):  
Akio YAMAMOTO ◽  
Toshiki NIINO ◽  
Toshiro HIGUCHI
Keyword(s):  
High Precision ◽  
High Power ◽  
Precision Positioning ◽  
Positioning Control

A High Precision Positioning Control Method Based on Learning Algorithm with Reference Model

2011 ◽  
Vol 211-212 ◽  
pp. 671-675
Author(s):  
Kenji Nakajima ◽  
Hiroyuki Saitou ◽  
Seiji Hashimoto
Keyword(s):  
Neural Network ◽  
High Precision ◽  
Control Method ◽  
Reference Model ◽  
Learning Algorithm ◽  
Input Saturation ◽  
Control Input ◽  
Precision Positioning ◽  
Positioning Control ◽  
The Neural Network

In this paper, a high precision positioning control method based on the learning algorithm with the reference model is proposed. The reference model is composed of a plant model and a feedback controller. In the proposed control method, disturbance, modeling error and nonlinear characteristic can be effectively compensated by the neural network-based controller, which learns the reference model. Moreover, the control-input saturation problem due to the over-learning for the neural network can be avoided. The effectiveness of the proposed control method is experimentally verified using the precision positioning equipment with nonlinear friction characteristics.

Sign in / Sign up

Export Citation Format

Share Document