Control systems of a non-stationary plant based on MPC and PID type fuzzy logic controller

Igor Sergeevich Nadezhdin, Aleksey G. Goryunov, Flavio Manenti, Anton O. Ochoa Bike

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 are compared the systems of automatic control with different regulators (fuzzy PID regulator and MPC regulator), if introduced into the system of different disturbing influences.

Original languageEnglish
Title of host publicationIMECS 2016 - International Multiconference of Engineers and Computer Scientists 2016
PublisherNewswood Limited
Pages219-224
Number of pages6
Volume1
ISBN (Electronic)9789881925381
Publication statusPublished - 2016
EventInternational Multiconference of Engineers and Computer Scientists 2016, IMECS 2016 - Tsimshatsui, Kowloon, Hong Kong
Duration: 16 Mar 201618 Mar 2016

Other

OtherInternational Multiconference of Engineers and Computer Scientists 2016, IMECS 2016
CountryHong Kong
CityTsimshatsui, Kowloon
Period16.3.1618.3.16

Keywords

  • Control system
  • Fuzzy logic controller
  • Model predictive control
  • PID controller

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Fingerprint Dive into the research topics of 'Control systems of a non-stationary plant based on MPC and PID type fuzzy logic controller'. Together they form a unique fingerprint.

  • Cite this

    Nadezhdin, I. S., Goryunov, A. G., Manenti, F., & Ochoa Bike, A. O. (2016). Control systems of a non-stationary plant based on MPC and PID type fuzzy logic controller. In IMECS 2016 - International Multiconference of Engineers and Computer Scientists 2016 (Vol. 1, pp. 219-224). Newswood Limited.