Real-time Control of HCCI Engine Using Model Predictive Control
Bibliographic record
Abstract
Model Predictive Control (MPC) for combustion timing and load control of a single cylinder Homogeneous Charge Compression Ignition (HCCI) engine is designed and implemented. First, a nonlinear control oriented model is obtained based on a Detailed Physical Model (DPM) using model order reduction techniques. The model is then linearized around one operating point and combustion timing and output work prediction are experimentally validated. This linearized model is then used in MPC with Exhaust Valve Closing (EVC) timing and fueling rate as main actuators. Combustion timing is defined as the crank angle of fifty percent fuel mass fraction burned, and is calculated from cylinder pressure. The controller is verified in simulation using the DPM considering constraints on inputs and outputs. The controller is then directly implemented on a dSPACE MicroAutoBox for HCCI combustion timing and load control. For real-time implementation of the MPC, Laguerre functions are used to simplify the conventional MPC algorithm which reduces the computation time. The MPC tracks the desired load and combustion timing trajectories while considering constraints on the actuators and outputs in simulation and on the engine.
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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 | 0.000 | 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".