Simulation and Control of Surge Phenomenon in Centrifugal Compressors
Bibliographic record
Abstract
The operating range of compressors is usually limited by an unwanted phenomenon that is called, surge.Surge not only limits compressor performance and efficiency, but it can also damage the compressor, such as breaking impellers, oscillation and increasing temperature in compressor.This paper aims to present the application of nonlinear control methods and Lyapunov theory to prevent any surge conditions, in constant speed centrifugal compressors, based on the well-known Moore-Greitzer (MG) model.The only actuator in our system is a close-coupled valve (CCV).We propose a technique for designing nonlinear controllers according Lyapunov Law to avoid surge.In this paper, two controllers are designed and are applied to Moore-Greitzer model for a centrifugal compressor and compared both of them.Simulation results show these controllers can stabilize the instabilities due to surge phenomenon and effectiveness of proposed controllers.The findings of this research may serve as systems that utilizing centrifugal compressors in power generation plants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".