By Waltraud M. Kriven
This ebook offers a state of the art selection of papers provided on the 66th convention on Glass difficulties on the collage of Illinois at Urbana-Champaign in October of 2005.
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Extra info for 66th Conference on Glass Problems
For example the models for a low pull rate have dead times significantly longer than the models for high pull rate. Also the dynamics of these models differ as well as gains. It results that for different pull rates and glass colors the controller should use appropriate models. Therefore with respect to various colors are associated models identified. When the request for models with respect to different pull rates occur. the situation is much more complicated. It is impossible to identify the process for all possible pull rates.
Setpoint, and feedfonvard provides the information needed to anticipate a disturbance. The controller looks at the incoming temperature as feedfonvard analyzes how it will affect the process, and adjusts the heating to avoid the error. With model-based control, once the optimum process is modeled, the controller can predict what actions are needed to reach setpoint quickly without overshoot. Figure 2: MBC Before and Afler 66th Conference on Glass Problems . 49 Breaking the Boundaries of PID Figure3: Example of Fiberglass Bushing during Eight Days of Conventional PID Control (one TC per bushing position) Figure 4: Example of Fiberglass Bushing during Eight Days of Model Based Contml (one TC per bushing position) 50 66th Conference on Glass Problems Breaking the Boundaries of PID Table I: Comparison of Model Based Features to PID Feattues ues to refine itself to have the most REAPING THE BENEFITS The improved control of niultivariable processes allows each system to be responsive to disturbances or operating SP changes.
These disturbances will continue until the controller is able to stabilize the temperature. In applying Model Based Control, a mathematical model is created that expresses how much heat must be added to water in order to maintain a desired temperature. Additionally, the model looks at how temperature is affected by the addition of water and speed at which it is added. Model Based Control sees the initial temperature and knows it must reach 90”. The controller immediately applies the proper amount of heat to move from the present temperature to 90” as quickly as possible.