2013 IEEE 18th Conference on Emerging Technologies &Amp; Factory Automation (ETFA) 2013
DOI: 10.1109/etfa.2013.6648007
|View full text |Cite
|
Sign up to set email alerts
|

Validation of a multivariable relay-based PID autotuner with specified robustness

Abstract: This paper presents a multivariable relay-based PID autotuning strategy, which ensures a specified modulus margin (i.e. robustness). The algorithm is applied on the coupled quadruple tanks from Quanser. The system is challenging for control since it presents non-minimum phase transmission zeros. The performance of the autotuner is validated against a computer-aided design tool based on the frequency response, i.e. FRTool. The experimental results suggest that the proposed autotuning procedure has similar perfo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2014
2014
2020
2020

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 14 publications
0
1
0
Order By: Relevance
“…However, there is no guarantee that the obtained controller is the ideal one. Experimental methods such as the well-known Ziegler Nichols, Kappa-Tau method, Cohen-Coon , Tyreus-Luyben, Ciancone, and Marlin tune classical proportional-integral-derivative (PID) controllers based on measurements of the different dynamics of the process response [1][2][3][4][5]. In most cases, the controllers tuned using experimental procedures lead to a closed loop system with poor robustness performance [6].…”
Section: Introductionmentioning
confidence: 99%
“…However, there is no guarantee that the obtained controller is the ideal one. Experimental methods such as the well-known Ziegler Nichols, Kappa-Tau method, Cohen-Coon , Tyreus-Luyben, Ciancone, and Marlin tune classical proportional-integral-derivative (PID) controllers based on measurements of the different dynamics of the process response [1][2][3][4][5]. In most cases, the controllers tuned using experimental procedures lead to a closed loop system with poor robustness performance [6].…”
Section: Introductionmentioning
confidence: 99%