Matrix converter and its application in a micro-turbine based generation system
Bibliographic record
Abstract
The MC should provide (i) frequency conversion from the source-side (0.4--4 kHz) to the load-side (50/60 Hz) and (ii) magnitude and phase-angle control of the load-side terminal. Exploiting the high frequency ratio of the source- to the load-side of the MC, a new switching strategy for the MC is introduced. Control mechanisms for the magnitude and the phase-angle of the MC load-side are developed. Local and global stabilities of the MC operation, based on the introduced switching strategy and control mechanisms, are analytically verified. This thesis investigates the technical feasibility of applying a three-phase, AC-AC Matrix Converter (MC) as the interface medium between a high-speed (40 to 120 krpm) Micro-Turbine based Generation (MTG) system and the load system. The main motivation for using the MC instead of a conventional AC-DC-AC converter is that it eliminates the DC-side components of the AC-DC-AC converter, e.g. the DC-link capacitor. This increases reliability and reduces size, weight and footprint. This thesis also introduces an overall control scheme for a micro-turbine generator system which is interfaced through the MC to a utility system as a Distributed Generation (DG) unit. To develop a systematic control design for the MC, a new comprehensive mathematical model of the MTG system, including the MC, is presented. This mathematical model is based on transformation of the network equations of the MC source-side to a frame named switching reference frame and then deducing the overall system equations in the MC load-side dqo reference frame. All analytical results and control strategies are verified based on digital time-domain simulation studies in the PSCAD/EMTDC software environment.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".