Position Control of Linear Synchronous Reluctance Motor Using a Modified Camel Traveling Algorithm-Based Proportional Integral Controller
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Bibliographic record
Abstract
Due to a non-linearity characteristic for linear synchronous reluctance motor (LSRM) magnetic circuit, which generate significant overshoots and oscillations in the device's movement.Two different kinds of controllers are used to verify the position of the motor: a traditional Proportional Integral (PI) controller and a modified camel traveling algorithm (MCTA) with PI controller.In the first the dynamic model of LSRM is presented in d-q reference frame and simulated using MATLAB Simulink program (MATLAB 2022a) with using actual position as a feedback signal.The motor position is tested in three different reference position trajectories: trapezoidal reference position trajectory, linear reference position trajectory, and non-linear reference position trajectory.The outcomes demonstrate how well the employed controllers improved the position and velocity responses of the motor performance under various reference position trajectories.
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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) | 0.001 | 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 it