Abstract

The opportunity analysis of using two Proportional-Integral (PI) controllers, tuned with Skogestad�s variant of Simple Internal Model Control based (SIMC) method, for controlling the top and bottom compositions of a propylene/propane distillation column represents the paper aim. The SIMC method for PID controllers is the simplest and extremely good model in tuning procedures. Because the distillation process is nonlinear, the process model is described by a reunion of different linear models, for the different process operating ranges and, for each operating range, different sets of controllers� tuning parameters are computed using SIMC tuning method. In order to validate the experimental results a comparison is made with the case when the PI controllers are tuned using Ziegler-Nichols (ZN) method that uses the step response and process approximation exactly as Skogestad�s variant of SIMC.

Highlights

  • The opportunity analysis of using two Proportional-Integral (PI) controllers, tuned with Skogestad’s variant of Simple Internal Model Control based (SIMC) method, for controlling the top and bottom compositions of a propylene/propane distillation column represents the paper aim

  • -The SIMC and ZN controller tuning methods were implemented in order to find the PI controllers tuning parameter values; these values adapts to the process operating range;

  • The results will be compared with the ones that can be obtained in case of using Ziegler-Nichols (ZN) tuning method that uses the step response and process approximation with the first order lag with dead time, exactly as SIMC

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Summary

Introduction

The opportunity analysis of using two Proportional-Integral (PI) controllers, tuned with Skogestad’s variant of Simple Internal Model Control based (SIMC) method, for controlling the top and bottom compositions of a propylene/propane distillation column represents the paper aim. -The SIMC and ZN controller tuning methods were implemented in order to find the PI controllers tuning parameter values; these values adapts to the process operating range; Control algorithm, for example, different sets of tuning parameter values to be considered, according to the process operating range.

Results
Conclusion
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