Indirect Adaptive Control of an Electro-Hydraulic Servo System Based on Nonlinear Backstepping
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Bibliographic record
Abstract
This paper studies the position control of an electro-hydraulic servo system using indirect adaptive backstepping. In fact, electro-hydraulic systems are known to be highly nonlinear and non-differentiable due to many factors as leakage, friction and especially the fluid flow expression through the servo-valve. Backstepping is used here for being a powerful robust nonlinear strategy and for its ability to ensure a global asymptotic stability of the controlled system without cancelling useful nonlinearities. On the other hand, hydraulic parameters such as fluid viscosity and bulk modulus are subjected to variations due to temperature rise. This results in a variation of the viscous friction coefficient. Knowing that the structure of a backstepping controller relies on the system parameter, it is crucial to use adaptive backstepping in order to update the controller structure with parameter variation. Emphasis is also on the tuning parameters effect and their influence on the errors dynamic behavior, in addition to the chattering and saturation in the control signal. Results in this work are based on simulations and are compared to those obtained with non-adaptive backstepping. We see the effectiveness of the proposed approach in terms of guaranteed stability and zero tracking error in the presence of varying parameters
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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