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.

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

MANENTI, FLAVIO;
2016-01-01

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.
2016
International Multiconference of Engineers and Computer Scientists 2016, IMECS 2016
Control system; Fuzzy logic controller; Model predictive control; PID controller; Computer Science (miscellaneous)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1003038
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