Comparison of energy consumption in the classical (PID) and fuzzy control of foundry resistance furnace

• Autorzy: Ziółkowski E. , Śmierciak P.
• Języki publikacji: EN

Abstrakty

EN

Foundry resistance furnaces are thermal devices with a relatively large time delay in their response to a change in power parameters. Commonly used in automation classical PID controllers do not meet the requirements of high-quality control. Developed in recent years, fuzzy control theory is increasingly being used in various branches of economy and industry. Fuzzy controllers allow to introduce new developments in control systems of foundry furnaces as well. Correctly selected fuzzy controller can significantly reduce energy consumption in a controlled thermal process of heating equipment. The article presents a comparison of energy consumption by control system of foundry resistance furnace, equipped with either a PID controller or fuzzy controller optimally chosen.

Słowa kluczowe

EN

automation of foundry processes; control of foundry furnaces; PID; fuzzy controllers

PL

automatyzacja odlewnictwa; piec odlewniczy; regulator PID; sterownik rozmyty

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2012
• Tom: Vol. 12, iss. 3
• Strony: 129--132
• Opis fizyczny: Bibliogr. 6 poz., rys., wykr.

Twórcy

autor

Ziółkowski E.

autor

Śmierciak P.

• AGH University of Science and Technology, Faculty of Foundry Engineering, Cracow, Poland,

Bibliografia

• [1] Yager, R. R. & Filev, D. P. )1995). Podstawy modelowania i sterowania rozmytego. WNT, Warszawa.
• [2] Piegat, A. (1999). Modelowanie i sterowanie rozmyte. EXIT, Warszawa.
• [3] Kacprzyk, J. (2001). Wieloetapowe sterowanie rozmyte. WNT, Warszawa.
• [4] Byrne, J. P. (2003). GA-Optimisation of a Fuzzy Logic Controller. School of Electronic Engineering.
• [5] Mrozek B. (2006). Projektowanie regulatorów rozmytych w środowisku MATLAB-Simulink. Pomiary Automatyka Robotyka, nr 11, 5-12.
• [6] The Math Works. Fuzzy Logic Toolbox. User's Guide.