Enhanced Event-based Identification Procedure for Process Control
| Type of publication: | Article |
| Citation: | |
| Journal: | Industrial & Engineering Chemistry Research |
| Volume: | 57(21) |
| Number: | 7218-7231 |
| Year: | 2018 |
| DOI: | 10.1021/acs.iecr.7b05239. |
| Abstract: | An enhanced event-based identification procedure for process control has been developed based on the information obtained from the oscillations that an event-based sampler introduces in the feedback loop. The describing function analysis is used to explain the basis of the method because the event-based sampler behaves as a static nonlinearity. Features of the method are (a) the event-based procedure does not require a priori process information, (b) noniterative algorithms are sufficient to derive the process parameters, (c) only one test is needed, and (d) it allows identifying the process at a user-specified phase angle in the third quadrant. The method is presented for estimation of most common transfer functions found in chemical and process industry: first and second order, as well as integrating processes with non-minimum-phase dynamics. Furthermore, the procedure can be extended to estimate models of any structure with five or more parameters. |
| Userfields: | img_url=https%3A%2F%2Fpubs.acs.org%2Fpb-assets%2Fux3%2Fpubs-logo-481x82-1523435513963.png,rank_indexname=,rank_pos_in_category=,rank_num_in_category=,rank_cat_name=,impact_factor= |
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| Authors | |
| Added by: | [ERM] |
| Total mark: | 0 |
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