Model predictive control of a CSTR: A comparative study among linear and nonlinear model approaches
2017 Indian Control Conference, ICC 2017 - Proceedings
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Krishnan, A., Patil, B., Nataraj, P., Maciejowski, J., & Ling, K. (2017). Model predictive control of a CSTR: A comparative study among linear and nonlinear model approaches. 2017 Indian Control Conference, ICC 2017 - Proceedings, 182-187. https://doi.org/10.1109/INDIANCC.2017.7846472
© 2017 IEEE. This paper presents a comparative study of two widely accepted model predictive control schemes based on mixed logical dynamical (MLD) and nonlinear modeling approaches with application to a continuous stirred tank reactor (CSTR) system. Specifically, we approximate the nonlinear behavior of a CSTR system with multiple local linear models in a MLD framework. The main benefit of such a scheme is the significant improvement in model accuracy when compared with a single linearized model. The benefits and trade-offs associated with predictive control laws synthesized using MLD and nonlinear modeling approaches are also compared.
National Research Foundation, Singapore.
External DOI: https://doi.org/10.1109/INDIANCC.2017.7846472
This record's URL: https://www.repository.cam.ac.uk/handle/1810/287163