Shabib, G. (2012). MODELING AND SIMULATION OF FUZZY PID CONTROLLERS FOR A SUBMERGED ARC FERROSILICON FURNACE. JES. Journal of Engineering Sciences, 40(No 3), 781-797. doi: 10.21608/jesaun.2012.114410
G. Shabib. "MODELING AND SIMULATION OF FUZZY PID CONTROLLERS FOR A SUBMERGED ARC FERROSILICON FURNACE". JES. Journal of Engineering Sciences, 40, No 3, 2012, 781-797. doi: 10.21608/jesaun.2012.114410
Shabib, G. (2012). 'MODELING AND SIMULATION OF FUZZY PID CONTROLLERS FOR A SUBMERGED ARC FERROSILICON FURNACE', JES. Journal of Engineering Sciences, 40(No 3), pp. 781-797. doi: 10.21608/jesaun.2012.114410
Shabib, G. MODELING AND SIMULATION OF FUZZY PID CONTROLLERS FOR A SUBMERGED ARC FERROSILICON FURNACE. JES. Journal of Engineering Sciences, 2012; 40(No 3): 781-797. doi: 10.21608/jesaun.2012.114410
MODELING AND SIMULATION OF FUZZY PID CONTROLLERS FOR A SUBMERGED ARC FERROSILICON FURNACE
Faculty of Energy Engineering, South Valley University, Aswan, 81528, Egypt
Abstract
This paper investigates the control strategy for the electrical energy input to three phase electric arc ferrosilicon furnace. The classical PD fuzzy logic controller has two inputs. These inputs are the error in the V-I characteristic and the rate of the error in V-I characteristic. When the simulation result of this controller is compared with conventional PD type, it was shown that requires steady state accuracy. This paper is concerned with incorporating the integral property to the classic fuzzy PD controller. The result is a nonlinear fuzzy PID controller eliminates the steady state error resulted from the classic fuzzy PD actions. In this paper, the submerged arc ferrosilicon furnace is described by the heat transfer system, the electrical system equipments and the dynamics from the electrode positions to the electrode currents. The proposed control design methodology is tested on the model of submerged arc ferrosilicon furnace FeSi via simulation. The simulation work is carried out using simple environment via computer program written using C++ language. The obtained results guarantee the potential of the proposed control methodology to add self autonomy to the system behavior.
View on SCiNiTO
Top