QFT synthesis of a position controller for a pneumatic actuator in the presence of worst-case persistent disturbances
Bibliographic record
Abstract
Quantitative feedback theory (QFT) is employed in this paper to design a simple and effective position controller for a typical industrial pneumatic actuator. An emphasis is placed on minimizing the effects of load disturbances. The QFT control law is designed to give the best attenuation of the prescribed worst-case persistent load disturbance in spite of practical limitations on the achievable closed-loop performance and in the presence of other design constraints including closed-loop tracking and stability. The efficacy of the control law is verified in simulations and the guaranteed upper bound on the position error due to the worst-case persistent disturbing load is determined. This paper also highlights some of the issues related to QFT design for pneumatic actuators in the presence of load disturbances including dry friction that, to the best of the authors' knowledge, have not been adequately detailed elsewhere
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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 | 0.000 | 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 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".