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An integrated methodology for plant-friendly input signal design and control-relevant estimation of highly interactive processes
| Content Provider | Semantic Scholar |
|---|---|
| Author | Lee, Hyunjin Rivera, Daniel E. |
| Copyright Year | 2005 |
| Abstract | A novel methodology that integrates a directional multisine input design procedure and controlrelevant parameter estimation is developed in this paper, leading to desirable models for the control of highly interactive multivariable process systems. A priori information on system directionality is utilized in the input design procedure and recognized in the subsequent parameter estimation step, which consists of control-relevant curvefitting of frequency responses obtained from identification data. With input-output data based on a directionally adjusted input signal, the control-relevant parameter can accurately estimate the dynamic singular values of a system. As a result, a systematic procedure for generating a control-relevant model with balanced gain directionality is developed, appropriate for highly interactive processes. A case study involving a binary distillation column and Model Predictive Control is presented in this paper to demonstrate the effectiveness of the proposed approach. |
| Starting Page | 7086 |
| Ending Page | 7096 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://schugurensky.faculty.asu.edu/downloads/Publications/Conference%20Proceedings/SysID/aiche2005_hlee_520b.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
