rSOESGOPE Method Applied to Four-Tank System Modeling

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Authors

  • Accacio Ferreira Dos Santos Neto
  • Murillo Ferreira Dos Santos
  • Leonardo De Mello Honorio
  • Paolo Mercorelli

It's known that the design of identification signals plays a fundamental role in the estimation quality of dynamic systems models. Well-designed signals are able to excite the system's dynamics to be later identified and represented in a model. This work presents the application of the rSOESGOPE (robust Sub-Optimal Excitation Signal Generation and Optimal Parameter Estimation) Method, which proposes the identification of robust parametric models from the use of multiple identification signals. In this perspective, the identification experiment is composed of optimized signals of the type Amplitude-modulated Pseudo Random Binary Signal (APRBS), designed by an approach composed of the Particle Swarm Optimization (PSO) and by the Interior-Point Method (IPM). To verify the effectiveness of the methodology, it was decided to study the classic problem of modeling the four-tank system, investigating the use of multiple optimized identification signals.

OriginalspracheEnglisch
TitelProceedings of the 2023 24th International Carpathian Control Conference, ICCC 2023
HerausgeberDaniel Drotos, Rabab Benotsmane, Attila Karoly Varga, Attila Trohak, Jozsef Vasarhelyi
Anzahl der Seiten6
VerlagInstitute of Electrical and Electronics Engineers Inc.
Erscheinungsdatum12.06.2023
Seiten141-146
ISBN (Print)979-8-3503-1023-8
ISBN (elektronisch)979-8-3503-1022-1
DOIs
PublikationsstatusErschienen - 12.06.2023
Veranstaltung24th International Carpathian Control Conference - Sinaia, Rumänien
Dauer: 12.05.202314.05.2023
Konferenznummer: 24

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