Identification and control of fractional and integer order systems
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Résumé
The main focus of this thesis is on developing parsimonious models using measured process data and subsequent use of these models in the design of controllers for chemical engineering processes, in particular, for processes with large dead times. The application case studies presented and discussed in this thesis include diverse examples such as a classical heat transfer wall problem, a continuous stirred tank heater with transportation delays, an industrial scaled primary separation cell, and froth heaters. Two different types of processes are discussed in this thesis: 1) processes that can be described by fractional order transfer function models and 2) industrial processes that are modeled using conventional rational (integer) order models, as is the normal practice in industry. For fractional order systems, this thesis proposes a nested loop optimization method where model parameters including time delay are estimated iteratively in the inner loop and the fractional order model is estimated in the non-linear outer loop. The proposed method is applied in simulation on distributed parameter systems such as a classical heat transfer wall problem and on identification data obtained from laboratory experiments of a continuous stirred tank heater (CSTH) with transportation delays and industrial froth heater process. A fractional order PI controller tuning method using Bode's ideal transfer function as the reference system is also developed for fractional and integer order systems. The proposed tuning method is evaluated by simulation on fractional and integer order systems and experimental application on a computer-interfaced pilot scale CSTH process. Application examples, related to conventional (integer order) models, discussed in the thesis involve two industrial case studies in the oil sands industry. The first of these is the regulation of the froth bitumen and middlings Interface level in a separation cell process which is part of the oil-sands extraction unit. Internal model control (IMC) and model predictive control (MPC) using linear models are designed, implemented and tested in real time on the industrial separation cell. These controllers yielded better performance over the existing control strategy which uses PID control. The second application is concerned with temperature control of the bitumen froth which is part of the froth treatment unit. Using the linear models obtained from the industrial data, a gain scheduling multivariable MPC is designed, and tested in simulations and compared with the current operation which uses a number of local PID controllers. Results presented in the thesis illustrate the first successful industrial implementation of an MPC controller on a separation cell in the oil sands extractions unit at Suncor Energy Inc. in Fort McMurray, Alberta. Overall, this thesis presents results on identification and model based control design case studies on fractional order systems, distributed parameter systems and two industrial oil sands processes.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 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 découle