TY - JOUR
T1 - Passive Identification is Non Stationary Objects with Closed Loop Control
AU - Dyadik, Valeriy F.
AU - Nadezhdin, Igor S.
AU - Goryunov, Alexey G.
AU - Manenti, Flavio
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/9/2
Y1 - 2016/9/2
N2 - Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighbouring units, thus their dynamic behaviour is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. However, there a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behaviour. This paper presents procedure for identifying technological object control in a closed loop, i. e. that operates the automated control system. The variation in the controlled variable, caused by the change of the nonmeasurable disturbance, is considered the initial signal for the identification procedure. The parameters of the control object are found by optimization method Levenberg-Marquardt.
AB - Typically chemical processes have significant nonlinear dynamics, but despite this, industry is conventionally still using PID-based regulatory control systems. Moreover, process units are interconnected, in terms of inlet and outlet material/energy flows, to other neighbouring units, thus their dynamic behaviour is strongly influenced by these connections and, as a consequence, conventional control systems performance often proves to be poor. However, there a hybrid fuzzy PID control logic, whose tuning parameters are provided in real time. The fuzzy controller tuning is made on the basis of Mamdani controller, also exploiting the results coming from an identification procedure that is carried on when an unmeasured step disturbance of any shape affects the process behaviour. This paper presents procedure for identifying technological object control in a closed loop, i. e. that operates the automated control system. The variation in the controlled variable, caused by the change of the nonmeasurable disturbance, is considered the initial signal for the identification procedure. The parameters of the control object are found by optimization method Levenberg-Marquardt.
UR - http://www.scopus.com/inward/record.url?scp=84988530013&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988530013&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/142/1/012047
DO - 10.1088/1757-899X/142/1/012047
M3 - Conference article
AN - SCOPUS:84988530013
VL - 142
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
SN - 1757-8981
IS - 1
M1 - 012047
T2 - 7th International Scientific Practical Conference on Innovative Technologies in Engineering
Y2 - 19 May 2016 through 21 May 2016
ER -