Sensitivity Conditioning: Beyond Singular Perturbation for Control Design on Multiple Time Scales

A classical approach to design controllers for interconnected systems, is to assume that the different subsystems operate at different time scales, then design simpler controllers within each time scale, and finally, certify stability of the interconnected system via singular perturbation analysis....

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:IEEE transactions on automatic control Ročník 68; číslo 4; s. 2309 - 2324
Hlavní autori: Picallo, Miguel, Bolognani, Saverio, Dorfler, Florian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York IEEE 01.04.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Bilevel optimization
Cascade control
Control design
Controllers
Design optimization
Interconnected systems
nonlinear control design
Optimization
Perturbation methods
Power system dynamics
Power system stability
Singular perturbation
Stability analysis
Steady-state
Subsystems
Time
time-scale separation
ISSN:0018-9286, 1558-2523
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:A classical approach to design controllers for interconnected systems, is to assume that the different subsystems operate at different time scales, then design simpler controllers within each time scale, and finally, certify stability of the interconnected system via singular perturbation analysis. In this work, we propose an alternative approach that also allows to design the controllers of the individual subsystems separately. However, instead of requiring a sufficiently large time-scale separation, our approach consists of adding a feed-forward term to modify the dynamics of faster systems in order to anticipate the dynamics of slower ones. We present several examples in bilevel optimization and cascade control design, where our approach improves the performance of currently available methods.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0018-9286
1558-2523
DOI:10.1109/TAC.2022.3176795