Case studies on closed-loop identification for MPC |
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Affiliation: | 1. Mathematical Institute, Budapest University of Technology and Economics, Pf. 91, Budapest 1521, Hungary;2. Department of Electrical Engineering, Tafresh University, Tafresh 39518–79611, Iran |
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Abstract: | In this work we study multivariable and closed-loop identification of industrial processes for use in model predictive control. The advantages of closed-loop identification are discussed and related problems of identification are outlined. Subsequently, two case studies are used to demonstrate the advantages of closed-loop identification. The first process is a simulated high purity distillation column; the second process is a deethanizer of an industrial scale ethylene unit. |
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