Abstract
This paper considers the use of constrained minimum crest factor multisine signals as inputs for plant-friendly identification testing of chemical process systems. The methodology presented here effectively integrates operating restrictions, information-theoretic requirements, and state-of-the-art optimization techniques to design minimum crest factor multisine signals meeting important user-specified time and frequency domain properties. A series of optimization problem formulations relevant to problems in linear, nonlinear, and multivariable system identification are presented; these culminate with their application to the modeling of the Weischedel-McAvoy high-purity distillation column problem, a demanding nonlinear and highly interactive system. The effectiveness of these signals for modeling for control purposes and the ability to incorporate a priori nonlinear models in the signal design procedure are demonstrated in this distillation system case study.
Original language | English (US) |
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Pages (from-to) | 623-635 |
Number of pages | 13 |
Journal | Journal of Process Control |
Volume | 19 |
Issue number | 4 |
DOIs | |
State | Published - Apr 2009 |
Keywords
- "Plant-friendly" system identification
- Constrained multisine signals
- Highly interactive systems
- Process control
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Computer Science Applications
- Industrial and Manufacturing Engineering