Paper Info
Title
A Novel Method to Prevent Control System Instability Based on a Soft Computing Knowledge System.
Abstract
The aim of this study is to present a novel soft computing method to assure PID tuning parameters place the system into a stable region by applying the gain scheduling method. First the system is identified for each significant operation point. Then using transfer functions solid structures of stability are calculated to program artificial neural networks, whose object is to prevent system from transitioning to instability. The method is verified empirically under a data set obtained by a pilot plant.
Year
DOI
Venue
2011
10.1007/978-3-642-19644-7_45
SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS, 6TH INTERNATIONAL CONFERENCE SOCO 2011
Keywords
Field
DocType
KBS,Robust stability,artificial neural networks,soft computing
PID controller,Pilot plant,Gain scheduling,Control theory,Computer science,Instability,Transfer function,Control system,Soft computing,Artificial neural network
Conference
Volume
ISSN
Citations 
87
1867-5662
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
José Luís Calvo-Rolle117541.67
Emilio Corchado22626210.70
Ramón Ferreiro García3114.66
Amer Laham421.08
Maria Araceli Sanchez581.90
Ana B. Gil64914.81