Centrifugal Compressor Setpoint Tracking Optimization with Online Feedback

Conceitos essenciais

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

Resumo

• 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.

Estatísticas

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.

Citações

"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."

Principais Insights Extraídos De

Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors

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

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

Perguntas Mais Profundas

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