Simulation of sun tracking system for point focus fresnel collector
Bibliographic record
Abstract
This work presents simulation of a sun tracking system that was developed for a Point Focus Fresnel Collector (PFFC) installed at King Saud University. The tracker is dual axis with a concentration ratio of 160 and a small acceptance angle of 2 degrees, hence a precise tracking control is required. Two control schemes were developed and tested, the open loop and closed loop. A sun position algorithm was used for open loop control whereas a sun sensor was used for closed loop control. The control system were simulated using Matlab/Simulink. It was found that open loop tracking is simpler to implement and consumes less power but is also less accurate and tracking error accumulates over time. On the other hand, closed loop control is more complicated to implement, consumes more power is much more accurate than open loop control. So, it is recommended to use the closed loop controller for PFFC system. The individual components of the control system were modelled using generic Simulink models. The complete model was operated in both open loop and closed loop configurations. The results of the models were analysed to estimate the operating limits of the tracker.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".