Comparative Analysis of PID and Robust IMC Control in Cascaded Processes With Time-Delay
Why this work is in the frame
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Bibliographic record
Abstract
Control of time-delay processes can be achieved by using industrial PID or implementing Internal Model based Controllers (IMC). During the last century, several methods have been proposed in the literature for tuning such controllers based on models obtained by open-loop tests. The model approximation is typically a first-order plus time-delay (FOPTD) or a delayed integration process (DIP). This paper presents a comparative analysis of popular methods used in PID, robust IMC control and Sliding Mode Control (SMC). The study includes, for each method, the analysis of the impact of model mismatch on performance, their ability to reject input and output disturbances, and their complexity. The paper provides results of numerical simulations and experiments in a cascade control loop of a pump-valve-tank system where the system is presented as two cascaded FOPTD models representing, respectively, the actuator and the tank.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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