A hierarchical rule-based control of a diesel engine system
Bibliographic record
Abstract
A two-layer hierarchical rule based controller is proposed for the control design of a diesel engine. Diesel engines are known for their high versatility making them useful in a wide range of applications such as in automotive, boat and ship industry, and in backup power generating systems. Despite their attractive features, diesel engines suffer from highly nonlinear and time varying dynamics making them hard to control by means of conventional model based control techniques. The design philosophy proposed in this paper is that a control supervisor, chosen here as a fuzzy tuner, which monitors the system behavior and its output response at a high layer of the control hierarchy, can be used effectively to complement the action of the hard controllers serving as actuators to the system in the lower layer of the hierarchy. Simulation runs on a numerical model of the system are carried out and the system performance outputs are recorded. Possible extension of the current work are outlined and concluding remarks are drawn.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".