Control Systems of a Non-stationary Plant Based on MPC and PID Type Fuzzy Logic Controller

Control Systems of a Non-stationary Plant Based on MPC and PID Type Fuzzy Logic Controller

Bibliographic Details
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]
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Физико-технический институт (ФТИ) Кафедра электроники и автоматики физических установок (№ 24) (ЭАФУ)
Other Authors: Nadezhdin I. S. Igor Sergeevich, Goryunov A. G. Aleksey Germanovich, Manenti F. Flavio, Ochoa Bike A. O. Anton Orlandovich
Summary: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.
Published: 2016
Subjects:
электронный ресурс
труды учёных ТПУ
прогнозирующие модели
нечеткая логика
ПИД-регуляторы
системы управления
Online Access:http://www.iaeng.org/publication/IMECS2016/IMECS2016_pp219-224.pdf
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=650249
Description
Summary: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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