Experimental Study of Industrial Process Control Loops

1. Introduction

Engineers responsible for municipal wastewater plants frequently encounter industrial process control loops without adequate design guidance. The proposed procedure couples genetic algorithms with established empirical correlations. The results demonstrate that industrial process control loops can be predicted reliably once local calibration data are available. Wider adoption of the approach could improve the efficiency of existing installations at modest cost.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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