Model predictive control of a CSTR: A comparative study among linear and nonlinear model approaches

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Krishnan, A 
Patil, BV 
Nataraj, PSV 
Ling, KV 

© 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.

4007 Control Engineering, Mechatronics and Robotics, 40 Engineering, 4010 Engineering Practice and Education
Journal Title
2017 Indian Control Conference, ICC 2017 - Proceedings
Conference Name
2017 Indian Control Conference (ICC)
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National Research Foundation, Singapore.