Control of a Continuous Vacuum Crystalliser in an Industrial Environment : A Feasibility Study – Comparision PID to Model Predictive Control Solution

Moldoványi, N. and Abonyi, János (2007) Control of a Continuous Vacuum Crystalliser in an Industrial Environment : A Feasibility Study – Comparision PID to Model Predictive Control Solution. HUNGARIAN JOURNAL OF INDUSTRY AND CHEMISTRY, 35. pp. 65-74. ISSN 0133-0276

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Abstract

Crystallisers are essentially multivariable systems with high interaction amongst the process variables, that’s why it is a difficult control problem. In the absence of a real continuous crystalliser, a detailed momentum-model was applied using the process simulator in Matlab Simulink. The relative gain array was calculated to try to decouple the input and output variables for the setup of single input single output (SISO) PID controllers. The PIDs were tuned, but the control performance is not satisfying. Model Predictive Controllers (MPC) can handle such highly interacting multivariable systems efficiently due to their coordinated approach. The feasibility study illustrated that the applied identification tool gave an accurate and robust model, and that the non-linear crystalliser can be controlled and optimised very well with the Honeywell Profit® Suite package. The developed system – engineering model in Matlab is connected to an MPC used in the industry via OPC (originally OLE-Object Linking and Embedding for Process Control) - is proven to be useful in research and development.

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