Główne pojęcia
Online Feedback Optimization controllers improve system performance by tuning parameters and sampling time for optimal setpoint tracking in centrifugal compressors.
Streszczenie
OFO controllers optimize system performance by adjusting parameters and sampling time.
Parameters tuning improves tracking performance without waiting for steady state.
Sampling time optimization reduces oscillations and ensures fast trajectory tracking.
Validation results show up to 87% better tracking performance compared to manual tuning.
Framework proposed for simultaneous tuning of OFO parameters.
Impact analysis of OFO parameters on system performance.
Optimization problem formulation for tuning OFO controllers.
Results show the importance of balancing error and oscillations for optimal performance.
Recommendations for future work on OFO tuning methods.
Statystyki
OFO controllers steer a system to its optimal operating point.
Proposed tuning method yields up to 87% better tracking performance.
Sampling time optimization reduces oscillations in controlled systems.
Cytaty
"Online Feedback Optimization controllers steer a system to its optimal operating point."
"Simultaneous tuning of sampling time and parameters yields up to 87% better tracking performance."