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A cross‐coupling reference model control algorithm
Author(s) -
Xiao Y.,
Zhu K. Y.
Publication year - 2005
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.873
Subject(s) - synchronization (alternating current) , control theory (sociology) , computer science , process (computing) , minification , coupling (piping) , tracking (education) , model predictive control , reference model , motion (physics) , motion control , algorithm , control (management) , control engineering , engineering , artificial intelligence , mechanical engineering , psychology , computer network , pedagogy , channel (broadcasting) , software engineering , robot , programming language , operating system
This paper presents an extended cross‐coupling generalized predictive control algorithm with reference models for multi‐axis coordinated motion systems. It is obtained by minimization of a modified performance index in which the synchronization errors between different motion axes are embedded. Therefore, through adequately adjusting the control parameters the resulting control system may provide an improved performance in terms of tracking and synchronization. An application of the proposed algorithm to an electro‐hydraulic process is completed, and the simulation results demonstrating the good performance are also given. Copyright © 2005 John Wiley & Sons, Ltd.