Decoupled PID Controller Design for Multi-Input Multi-Output PVA Degradation Process in a UV/H<sub>2</sub>O<sub>2</sub> Photoreactor
Notice bibliographique
Résumé
Synthetic water-soluble polymers, exemplified by polyvinyl alcohol (PVA), are widely consumed in diverse industries as raw materials or process-facilitating agents such as coatings, solvents, or lubricants [1,2].However, a substantial portion of these materials ends up in industrial wastewater, resulting in significant challenges in wastewater treatment.The nonbiodegradable nature of these polymers necessitates employing advanced treatment processes, such as advanced oxidation processes (AOPs), to remove them effectively [3].Among AOPs, the UV/H2O2 process has emerged as a promising solution for PVA degradation due to its proven efficiency in experimental studies [4][5][6][7][8].Nonetheless, continuously achieving optimal PVA degradation while ensuring safe residual H2O2 levels in the process effluent remains a critical concern [9][10][11].This study focuses on designing a robust multi-loop proportional-integral-derivative (PID) feedback control specifically tailored for the multi-input multi-output (MIMO) PVA degradation process in a UV/H2O2 photoreactor.This approach is selected due to the prevalence, adaptability, and simplicity of implementing PID controllers in industries, including wastewater treatment plants [12].However, it is crucial to acknowledge that transitioning PID feedback control from a singleinput single-output (SISO) system to a MIMO configuration introduces complexities that require meticulous consideration of process interactions.The significant hurdles in formulating a multi-loop PID feedback control for MIMO systems encompass identifying the interactions among process variables, mitigating these interactions, and selecting optimal manipulated variable/control variable (MV/CV) control pairs [13,14].Relative gain array (RGA) analysis is a valuable tool for navigating these challenges.One effective strategy to address process interactions involves implementing feedforward decouplers, enabling independent control of each CV by manipulating only one MV [15].In this study, the implementation of RGA analysis facilitated the identification of interactions between key process CVs, including the effluent total organic carbon (TOC) and residual H2O2 concentrations (mg/L), and MVs including PVA feed flow rate (mL/min) and inlet H2O2 concentration (mg/L).Feedforward PID controllers, acting as decouplers, were designed and integrated into the closed-loop control system of the process to mitigate the indicated interactions.Subsequently, PID controllers for each decoupled loop were meticulously tuned to ensure effective disturbance rejection on the CV within a closed feedback loop.The tuned controllers can also effectively manipulate the corresponding MV to track the desired setpoint trajectory.Tuning of PID parameters and rigorous simulation studies were conducted using MATLAB Simulink to validate the efficacy of the proposed control strategy.Simulation outcomes underscored the effectiveness of the designed control system, showcasing rapid response and settling times, stability, and minimal overshoot.Furthermore, the practical applicability of the designed control system was examined through realizability analysis assessments of the designed decouplers.The nature of the lag compensator of the designed decouplers serves as evidence of their realizability and feasibility for implementation in real-world applications.Overall, this study and its simulation results demonstrate the effectiveness of the proposed control strategy for PVA degradation in a UV/H2O2 photoreactor.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».