2-DOF control solutions for an electric drive system under continuously variable conditions
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
The paper deals with control solutions for an electric drive system where the reference and the load disturbance are continuously variable and the plant has variable parameters. The main variable parameter of the process is the moment of inertia in the context of a system that corresponds to laboratory equipment. Using a detailed mathematical model of the process and the particular features of the drive system, the paper proposes variable control structures with switching between three or more control algorithms. This solution is preferred instead of a continuously parameter adaptation due to its simplicity in adaptation to the representative operating points. The control design results are focused on development of two-degree-of-freedom PID control solutions. The control solutions are applied in case studies based on digital simulation but, considering fixed values of the process parameters, they can be easily verified on laboratory equipment [1]. The proposed control solutions have a large applicability in the field of mechatronics systems, where such applications with variable moment of inertia and control system inputs are always present.
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.
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