Adaptive fuzzy sliding mode control design for laser metal deposition
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents design and implementation of a novel adaptive fuzzy sliding mode control (AFSMC) scheme and its application to the height control of laser metal deposition process (LMD). Because of the uncertainties in modelling, and imperfections in switching devices or delays, the standard sliding mode control (SMC) cannot be used due to chattering. In order to eliminate the chattering, the control scheme proposed in this paper uses an adaptive fuzzy inverse dynamic model of the LMD process constructed from the input-output data, and an auxiliary continuous proportional-integral type control law constructed using the algebraic distance of trajectories from the switching surface. The simulation and experimental studies are presented to verify the performance and robustness of the controller and its ability in eliminating the chattering, and tracking the different trajectories. The overall performance, on-line learning capability and the disturbance attenuation property of the proposed control scheme makes it suitable for industrial applications.
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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