Paper Info
Title
Consideration about the stability and performance of a minimum variance control system
Abstract
This paper presents a stability and performance analysis of a self-tuning minimum variance control system. Designed through a cost function minimization, the control law is described by a linear difference model with time varying parameters. Based on a linearized process model around an operating point and by using a parameter estimator, the control system automatically adapts itself when process parameters change (as effect of a disturbance). However, the performance of the control system is strongly conditioned by an a priori setting of a factor that weights the control variance term of the cost function. The goal of this stability analysis is to provide a strategy regarding how to tune this control penalty factor, which significantly influences the stability and performance of the control system. Two approaches were considered: one based on the control system response in relation to the disturbance, validated by a second one based on frequency response analysis.
Year
DOI
Venue
2020
10.1109/SACI49304.2020.9118827
2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)
Keywords
DocType
ISBN
self-tuning,minimum variance control,stability analysis
Conference
978-1-7281-7378-8
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Ioan Filip12518.11
Cristian Vasar2912.74
Iosif Szeidert31713.63
Octavian Prostean42921.20