Centrifugal Compressor Setpoint Tracking Optimization with Online Feedback

Kernkonzepte

Online Feedback Optimization controllers improve system performance by tuning parameters and sampling time for optimal setpoint tracking in centrifugal compressors.

Zusammenfassung

• 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.

Statistiken

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.

Zitate

"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."

Wichtige Erkenntnisse aus

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

by Marta Zagoro... um arxiv.org 03-12-2024

https://arxiv.org/pdf/2312.01996.pdf

Tiefere Fragen

질문 1

제안된 튜닝 프레임워크는 다른 유형의 제어 시스템에 어떻게 적용될 수 있습니까?
답변 1 여기에

질문 2

OFO 매개변수 조정에 대한 전문 지식에만 의존하는 것의 잠재적인 단점은 무엇입니까?
답변 2 여기에

질문 3

압축기 제어를 넘어 OFO 개념을 다른 공학 분야에 어떻게 적용할 수 있습니까?
답변 3 여기에