Investigation of MIMO State Feedback Controller for Grid-Connected AC-DC Voltage Source Converters
Bibliographic record
Abstract
Voltage source converters (VSCs) are widely used for AC-DC power conversion and their control performance is important for the stability and dynamic behavior of the system. This paper investigates a multi-input-multi-output (MIMO) state feedback controller for AC-DC VSCs to regulate the DC-link voltage and AC side power factor in the presence of large disturbances. The MIMO state feedback controller is designed based on pole placement (SF-PP) and linear quadratic regulator (SF-LQR) methods. The goal of this paper is to design a simple and effective controller that alleviates the burden of tuning parameters. The time-domain performance of the proposed controller is compared to the conventional decoupled dq-vector PI based control with two nested-loops with three PI controllers tuned based on the first-order-time-delay (FOTD) approach. The small-signal DC impedance-based analysis is employed to demonstrate the dynamic behavior of different controllers in the frequency-domain. Simulation results demonstrate the superior performance of the SF-LQR in controlling DC-link voltage over PI controller and comparable performance of SF-PP to PI controller for regulating power factor.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".