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Centrifugal Compressor Setpoint Tracking Optimization with Online Feedback


Kernekoncepter
Online Feedback Optimization controllers improve system performance by tuning parameters and sampling time for optimal setpoint tracking in centrifugal compressors.
Resumé
  • 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.
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Statistik
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.
Citater
"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."

Dybere Forespørgsler

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
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