Adaptive Control of Chemical Processes 1985 - download pdf or read online

By International Federation of Automatic Control, Heinz Unbehauen

ISBN-10: 0080334318

ISBN-13: 9780080334318

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I. , and an equipment donation from Kaye Instrument. Fig. 12. Performance of Adaptive Dead-Time Controller. Dead Time Ramps from 75 to 45 Seconds from 70 to 85 Minutes. These results show that the adaptive dead-time scheme was able to detect a shift in process dead time and adjust the control scheme prediction step accordingly. There is a period of time where the control performance degrades. This is because of the length of the resetting period, which is a conservative approach to estimation. However, once the estimator detects a shift in the process delay which requires a change in the prediction step, the controller is reconfigured and returns the process to stable behavior, both for increasing and decreasing dead times.

Immediately, the control inputs are changed (if necessary) and the new values also assigned the index k. The delay existing between 30 G. E. Bortolotto and S. Bay j0rgensen the measurement readings and the issuing of the new control signals is negligible compared to the sampling interval. Thus, in the discrete time model there will always be at least one sampling unit delay between the control signals (inputs) and any of the measurements (outputs). Particularily, the change in T n n will only be acknowledged one sampling period later, when the measurements are sampled, and not at the time Ti (the control temperature) changes, even though the two changes are almost undistinguishable in the continuous plot.

4 the optimal control for the naphta mixture class 1 is presented. Li: gas seperation condenser washing compressor ethane /methane \ Cif. - fraction Storage of the optimal control for each class representative in the form of a file in the external memory of the process computer. 1 Cj·fraction Simplified technological scheme of the chemical engineering process unit 1. Determination of the actual naphta mixture class by means of the fuzzy clussificator. 2. Adapting the mathematical rough model according to the result of classification and to the actual state of coking.

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Adaptive Control of Chemical Processes 1985 by International Federation of Automatic Control, Heinz Unbehauen


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