Control Systems of a Non-stationary Plant Based on MPC and PID Type Fuzzy Logic Controller
| Parent link: | International MultiConference of Engineers and Computer Scientists, IMECS 2016: Proceedings of the Conference, March 16-18, 2016, Hong Kong Vol. 1.— 2016.— [P. 219-224] |
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| Autor Corporativo: | |
| Outros Autores: | , , , |
| Resumo: | Title screen Typically, processes taking place in modern industrial plants have significant nonlinearity. To control so complex dynamic processes used automatic control system (ACS) based on fuzzy logic controllers (FLC) or on the basis of a predictive model controllers (MPC). In this paper arecompared the systems of automatic control with different regulators (fuzzy PID regulator and MPC regulator), if introduced into the system of different disturbing influences. |
| Idioma: | inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp219-224.pdf |
| Formato: | Recurso Electrónico Capítulo de Livro |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650249 |
| Resumo: | Title screen Typically, processes taking place in modern industrial plants have significant nonlinearity. To control so complex dynamic processes used automatic control system (ACS) based on fuzzy logic controllers (FLC) or on the basis of a predictive model controllers (MPC). In this paper arecompared the systems of automatic control with different regulators (fuzzy PID regulator and MPC regulator), if introduced into the system of different disturbing influences. |
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