Experimental Study of Industrial Process Control Loops
Rajesh Chatterjee
Corresponding
Indian Institute of Science, Bangalore
Abstract
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.
Keywords:
industrial process control loopsgenetic algorithmsfinite element methodwastewater treatment
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