INVESTIGATION OF THE ELECTRODES MOVEMENT SYSTEM OF ARC FURNACE FUZZY CONTROLLER

Authors
A.O.Lozynskyi, Ja.S.Paranchuk, L.I.Demkiv
National University "Lviv Polytechnic",
str. S. Bandera, 12, Lviv, 79013, Ukraine,
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Abstract

For electrodes movement system of arc furnace impact of nonlinearities on the system is analyzed. Fuzzy controller, which provides a quick pass of the system to steady state at the absence of fluctuations in the output systemТs coordinate, is synthesized. To reduce a complexity of the rule base, a natural fuzzy controller is used. To synthesis the fuzzy controller systemТs motion trajectory is divided into two zones: large and small deviations of arc length from initial value. Corresponding linguistic variables have membership function of S-type and Z-type respectively. To compensate the perturbation a control law based on arc voltage deviation from the set value is suggested. It is shown that the use of system which is linearized in the single point of space of state for the synthesis of control actions does not allow classical methods of synthesizing the optimal control for the full range of coordinate changes and disturbances of ASC. The approach to system construction which provides disturbances of various sizes rejection with the necessary speed and without overshoot is proposed. At this, intermediate systemТs coordinates are within acceptable limits and ACS is physically realized. References 10, figures 7.

Key words: electrodynamic system, automatic control system, arc furnace, fuzzy logic, fuzzy controller.

Received:    05.02.2013
Accepted:    15.07.2013
Published:   25.02.2014

References

1. Demkiv L. The influence of parameters of membership function for quality performance of the system with two roots in the right half-plane // Visnyk Natsionalnoho Universytetu "Lvivska politekhnika". – 2012. –№ 736. – Pp. 36–43. (Ukr)
2. Lozynskyi A., Demkiv L. Synthesis of multicriterion optimal control with variable weights // Radioelektronika, informatyka, upravlinnia. – 2012. –№ 1. – Pp. 144–147. (Ukr)
3. Lozynskyi A., Demkiv L. Investigation of a membership function influence on dynamic performance of the system in multiobjective optimization with variable weights // Elektrotekhnichni ta kompiuterni systemy. – 2012. –№ 5. – Pp. 137–144. (Ukr)
4. Lozynskyi O., Paranchuk Ja., Lozynskyi A., Marushchak Ya., Paranchuk R. Multiobjective optimal control regimes of melting in arc furnaces. – Lviv: Vydavnytstvo Lvivskoi politekhniky, – 2010. – 208 p. (Ukr)
5. Lozynskyi O., Paranchuk Ja., Moroz V., Paranchuk R. Arcs power control mode of electromechanical system of arc furnace with fuzzy parallel proofreader investigation // Elektromekhanichni i enerhozberihaiuchi systemy. – 2012. – Vol. 3. – Pp. 524–525. (Ukr)
6. Lozynskyi O., Paranchuk Ja., Moroz V., Paranchuk R., Andriyas I., Nechai A. Optimal control system modes in arc melting furnaces in integrated performance criterion // Enerhetyka ta elektrotekhnika: Visnyk Vinnytskoho politekhnichnoho instytutu. – 2012. – № 2. – Pp. 119–123. (Ukr)
7. Marushchak Ya.Yu., Lozynskyi A., Kushnir A.P. Dynamics of two-mass mode stabilization systems in electric arc furnaces. - Lviv: Vydavnytstvo Lvivskoi politekhniky, – 2011. – 224 p. (Ukr)
8. Paranchuk Ja.S. Research of the laws which control the length of the arc in the two-contour arc furnace system // Visnyk Tekhnolohichnoho universytetu Podillia. – 2002. – Vol.1(44). – No.33. – Pp.173–177. (Ukr)
9. Alejandro Aceves-Lopes., Joseph Aguilar-Martin. A simplified version of Mamdani's fuzzy controller: the natural logic controller // IEEE Transactions on fuzzy systems. – 2006. – Vol. 14. – No. 1. – Pp. 16–30.
10. Mahmood Moghadasian, Emad Alenasser. Modelling and artificial intelligence-based control of electrode system for an electric arc furnace // J.Electromagnetic Analysis & Applications. – 2011. – No. 3. – Pp. 47–55.