Evolution of control techniques for industrial drives
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 control system of any variable speed electric drive consists mainly of an outer loop for controlling the mechanical output of the drive, (e.g., torque, speed or position) which generates commands to the inner loop, that controls the electromagnetic states of the electric machine (e.g., voltages, currents and magnetic flux) to produce the desired response. The configuration of the inner loop controller depends on the type of the electric motor and the topology of the power converter being used which in turn are dependent on the requirements of the application. DC variable speed drives were the industrial work horses until the 1960s due to the simplicity of their control. Since the late 1960s, advances in semiconductor technology for power as well as control applications, enabled AC variable speed drives to compete with DC drives in various industrial applications. Most present day research and development efforts are aimed at providing higher performance and more reliable AC drives at a lower cost than those of comparable DC drives. This paper provides an overview of the classical and modern control techniques for both DC and AC drives along with their applications.
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