Particle Swarm Optimization / PID-Computed Torque Control for a Manipulator
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Dynamic modelling and motion control of a newly developed 5-DOF robot manipulator is presented here. Optimized PID gains are obtained using PSO (Particle Swarm Optimization) method. a PID and a PID-CTC (Computed Torque Control) controller with optimized gains are examined for reference trajectory tracking control for the manipulator. Controllers’ performance for unit step inputs are evaluated using computer simulations. It is shown that this PSO optimized gain PID-CTC controller makes the manipulator follow its trajectory with no steady-state error. Controllers lead to small tracking errors, which is suitable for intended application; the PID-CTC controller provides better overall transient responses. The simulation model presented here, can be used for other applications. Contributions of this paper is mostly on application of PSO for the large 5-DOF manipulator with uncertain settings.
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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