Comparative study of GA, PSO, and DE for tuning position domain PID controller
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Bibliographic record
Abstract
Gain tuning is very important in order to obtain good performances for implementing a controller. In this paper, three popular evolutionary algorithms are utilized to optimize the control gains of a position domain PID controller for the improvement of contour tracking for robotic manipulators. Differential Evolution (DE), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to optimize the gains of the controller and three distinct fitness functions are also used to quantify the contour performance of each solution set. Simulation results show that PSO was proven to be quite efficient for the linear contour, while DE featured the highest performance for the nonlinear case. Both algorithms performed consistently better than GA that featured premature convergence in all cases.
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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) | 0.000 | 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 it