Direct adaptive fuzzy sliding mode control of arc furnace electrode regulator system

Authors:
Guan Ping;Li Ji-Chao;Liu Xiao-He
Affiliations:
School of Automation, Beijing Information Science and Technology University, Beijing, China;School of Automation, Beijing Information Science and Technology University, Beijing, China;School of Automation, Beijing Information Science and Technology University, Beijing, China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

Citing 3
Cited 1

Indirect adaptive fuzzy sliding mode control: Part I: fuzzy switching

Fuzzy Sets and Systems
A fuzzy adaptive variable structure controller with applications torobot manipulators

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive fuzzy sliding mode control of nonlinear system

IEEE Transactions on Fuzzy Systems

A direct adaptive controller for EAF electrode regulator system using neural networks

Neurocomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, an adaptive fuzzy sliding mode controller is proposed for electrode control problems of the arc furnace electrode regulator system, and the detailed design procedure of the fuzzy sliding mode control system is presented. The equivalent control of sliding mode control is approximated by the adaptive fuzzy control, in order to make the equivalent controller independent of the object's accurate mathematic model. To reject disturbance and reduce chattering, a fuzzy system is designed to tune the control gains. The results of simulation show that the proposed algorithm of control possesses strong dynamic response, stable control accuracy and robust to structure parameter uncertainties and external disturbance.