Title
A Geso Based Mpc Approach To Contour Error Control Of Networked Motion Control System
Abstract
This paper presents a generalised extended state observer (GESO) based model predictive control (MPC) approach to contour error control for networked multi-axis motion system (NMAMS) with network-induced delays. First, the uncertainties induced by the network-induced delays are modelled as an additive bounded disturbance, and a novel model predictive controller based on the GESO is designed for the uniaxial trajectory tracking control system. The GESO is used to estimate the system state and the disturbance simultaneously, and the effects of the uncertainties induced by the delays are eliminated by the proposed GESO based controller. Then the contour error estimation method is adopted, and a PID controller is designed to compensate the contour error. Finally, experiments are carried out to demonstrate the effectiveness of the proposed method.
Year
DOI
Venue
2019
10.1080/00207721.2019.1648705
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
Networked multi-axis motion system, time-varying delays, uncertainty, generalised extended state observer, model predictive control
State observer,Motion control,Contour error,Control theory,Model predictive control,Motion system,Mathematics
Journal
Volume
Issue
ISSN
50
11
0020-7721
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Yaowei Wang113429.62
Wen-an Zhang295259.07
Hui Dong300.34
Li Yu41509116.88