SISTEMAS REACCIONANTES CON CONTROL AFIN: CONTROLABILIDAD
The procedure of design and control of chemical reacting systems provides the tools necessary to identify stableoperating steady states. Nonetheless, the easiness of regulation of important operating states depends on dynamicfeatures related to operating conditions, design of the control and the rel...
| Autores: | , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | México |
| Institución: | Universidad Michoacana de San Nicolás de Hidalgo |
| Repositorio: | Redalyc-UMSNH |
| OAI Identifier: | oai:redalyc.org:62050104 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=62050104 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería dynamics simulation Lyapunov stability nonlinear dynamics process affine control |
| Sumario: | The procedure of design and control of chemical reacting systems provides the tools necessary to identify stableoperating steady states. Nonetheless, the easiness of regulation of important operating states depends on dynamicfeatures related to operating conditions, design of the control and the relationship between them. There have beenseveral attempts to develop systematic evaluation of control schemes; however nonlinearities of this kind of systemshave made it a complicated issue. Dynamic interactions among variables play important roles when control actionsare applied. Especially, in partial-controlled systems some uncontrolled variables may exhibit unexpected behaviourfor certain operating conditions or control actions, such as inverse response, depending on the selection of measuredand manipulated variables. In this work, a simple proposition for the evaluation of pairs of control and manipulatedvariables is developed for chemical reacting systems. Although it is based in research on phenomena such as thenonlinear relationship between zero dynamics and the Lyapunov stability of control, the resulting strategy is simple,easy to understand and easy to apply for the analysis of nonlinear lumped parameter systems which have controlaffine structure. Results obtained go beyond the ones obtained by using Relative Gain Array analysis applied tononlinear systems, because the methodology developed is applicable to systems which are partially controlled.Furthermore, this strategy is independent of the controller used. As example, the methodology is used in theevaluation of two control policy options for regenerators of industrial fluid catalytic cracking adiabatic units; resultsobtained were probed with industrial operating data. |
|---|