ERA

Process Systems Engineering

Number of results to display per page
Items in this Collection
  1. Modeling hybrid tank pilot plant using first principle model and experimental data [Download]

    Title: Modeling hybrid tank pilot plant using first principle model and experimental data
    Creator: Alireza Fatehi
    Description: The Hybrid tank pilot plant was designed in Process Control Laboratory (PCL) of the University of Alberta at 2009. In this report, we try to construct a model for this process. Using the physical behavior of the plant, it is possible to have the nonlinear first principle dynamic model of that plant. However, the parameters of the model are unknown. Some experiments are designed to estimate the parameters of the model. Then the model is linearized using the relation between the nonlinear and linear model.
    Subjects: Hybrid Tank Model, First Principle Modeling, Experimental data
    Date Created: 2015/07/02
  2. Dynamics and Variance Control of Hot Mill Loopers [Download]

    Title: Dynamics and Variance Control of Hot Mill Loopers
    Creator: Yildiz, S.K.
    Description: Poor control of hot strip mill loopers degrades strip width and gauge, and may even lead to mill breakdowns due to instability. In this study, dynamics of the looper-strip system and the control challenges it poses are discussed, and covariance control theory is applied to variance control design for loopers. Since looper disturbances have a deterministic nature, and their accurate modelling is a challenge that is not easily addressed, the problem represents a case in which a variance controller has to be designed without an explicit disturbance model. Control performance is assessed on a full-stand, nonlinear high fidelity finishing mill simulator, and comparisons to a conventional control system are provided.
    Subjects: Loopers
    Date Created: 2008
  3. Sensor selection for model-based real-time optimization: relating design of experiments and design cost

    Title: Sensor selection for model-based real-time optimization: relating design of experiments and design cost
    Creator: Fraleigh, L.M.
    Description: Real-time optimization systems have become a common tool, in the continuous manufacturing industries, for improving process performance. Typically, these are on-line, steady-state, model-based optimization systems, whose effectiveness depends on a large number of design decisions. The work presented here addresses one of these design decisions and proposes a systematic approach to the selection of sensors to be used by the RTO system. This paper develops a sensor system selection metric based on a trade-off between two approaches to the design of experiments, which is shown to be consistent with the design cost approach of Forbes and Marlin [Computers Chem Eng 20 (1996) 7/7]. The resulting design metric is incorporated into a systematic procedure for RTO sensor selection problem. Finally, the proposed RTO sensor selection procedure is illustrated with a case study using the Williams–Otto [AIEE Trans 79 (1960), 458] plant.
    Subjects: Design of experiments, Real-time optimization, Sensor system design
    Date Created: 2010/03/30