Development and experimental evaluation of a fixed-gain nonlinear control for a low-cost pneumatic actuator
Bibliographic record
Abstract
A practical, easy-to-implement and accurate fixed-gain nonlinear position controller for a typical low-cost industrial pneumatic actuator is developed and evaluated experimentally. The positioning system comprises an inexpensive 5-port three-way proportional control valve with flow deadband, and a double-rod actuator exhibiting significant dry friction. Quantitative feedback theory is used first to systematically design a robust proportional–integral (PI) control law that minimises variations in the dynamic response of the actuator over a wide range of operating conditions and in the presence of uncertainty in the system parameters. Nonlinear modifications, which condition the integral part of the designed PI control law, are then implemented in a step-by-step fashion to further improve closed-loop performance by reducing overshoot and negating the effects of the control valve deadband and actuator friction. Experimental results clearly illustrating the effectiveness of the positioning system for a number of tracking and regulating tasks are presented.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".