A PC-based hardware-in-the-loop simulator for the integration testing of modern train and ship propulsion systems
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
Today, the development and integration of train and ship controllers is a more difficult task than ever. Emergence of high-power switching devices has enabled the development of new solutions with improved controllability and efficiency. It has also increased the necessity for more stringent test and integration capabilities since these new topologies come with less design experience on the part of the system designers. To address this issue, a real-time simulator can be a very useful tool to test, validate and integrate the various subsystems of modern rail vehicle devices. This paper presents such a real-time simulator, based on commercial-off-the-shelf PC technology, suitable for the simulation of train and ship propulsion devices. The requirements for rail/water vehicle test and integration reaches several levels on the control hierarchy from low-level power electronic converters used for propulsion and auxiliary systems to high-level supervisory controls. This paper places great emphasis on the real-time simulation of several high-power drives used for train and ship propulsion, including a multi-induction machine drive, a three-level GTO - PMSM drive and a high-power thyristor-based converter - synchronous machine drive. All models are designed first with the SimPowerSystems blockset and then automatically compiled and run on commercial PCs under RT-LAB. Interfaces to I/O are also made at the Simulink model level without any low-level coding required by the user. Supervisory control integration and testing can also be made using the RT-LAB real-time simulator. The other objective of this paper is to demonstrate that HIL testing of complex drives, such as the those found on trains, can be done using commercial-off-the-shelf (COTS) software and hardware and model-based design techniques that only require high-level system models suitable for system specifications down to controller test and final system integration.
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