Paper Info
Title
A Comparative Study Of Recent Relay Autotuning Methods For Multivariable Systems
Abstract
A typical procedure for designing multivariable controllers is the following: build a model for the multivariable process, choose the control structure, calculate the control parameters, test the controller (possibly with simulation) and then retune controller parameters as necessary. This procedure is complex and time consuming even for scalar control loops. For multivariable controllers, the procedure is even more daunting. Automation of the design method is and has been a concern of many researchers. There has been a large number of papers on relay autotuning of control systems. The choice of relay feedback to solve the design problem is justified by the possible integration of system identification and control into the same design strategy, giving birth to relay autotuning. In this paper, nine different relay autotuning methods for multivariable systems are compared. Most of these methods have common basics hut they maa! differ in the tuning procedure, convergence, identification method, control structure and performance achievement. The paper summarizes these methods and investigates the advantages and drawback of each algorithm.
Year
DOI
Venue
2001
10.1080/00207720118590
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Keywords
Field
DocType
design method,control system,control structure,system identification
Convergence (routing),Design strategy,Control theory,Multivariable calculus,Control theory,Automation,Control engineering,Control system,System identification,Mathematics,Relay
Journal
Volume
Issue
ISSN
32
4
0020-7721
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Smail Menani100.68
Heikki N. Koivo29020.56