TY - GEN
T1 - A logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace
AU - Zhang, Shiliang
AU - Cao, Hui
AU - Lei, Wanjun
AU - Zhang, Yanbin
PY - 2014
Y1 - 2014
N2 - Submerged arc furnace is a system with strong coupling, nonlinearity and time-variability. In this paper, a logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace is proposed. The proposed controller is based on fuzzy logic control strategy, and interpolation algorithm is employed to improve the control accuracy without raising complexity of the controller. The errors between the set values and the measured values of every phase electrode current are taken as the input of the controller, while the output of the controller is obtained according to the interpolation calculation of the neighboring antecedents of the observation. The interpolation coefficients are calculated based on the weighted distance between the observation and its neighboring antecedent. And the deformed logistic function is adopted to improve the interpolation results. Simulations are performed to estimate the effectiveness of the proposed controller and the results show that the proposed controller achieves better control quality with higher control accuracy and faster response.
AB - Submerged arc furnace is a system with strong coupling, nonlinearity and time-variability. In this paper, a logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace is proposed. The proposed controller is based on fuzzy logic control strategy, and interpolation algorithm is employed to improve the control accuracy without raising complexity of the controller. The errors between the set values and the measured values of every phase electrode current are taken as the input of the controller, while the output of the controller is obtained according to the interpolation calculation of the neighboring antecedents of the observation. The interpolation coefficients are calculated based on the weighted distance between the observation and its neighboring antecedent. And the deformed logistic function is adopted to improve the interpolation results. Simulations are performed to estimate the effectiveness of the proposed controller and the results show that the proposed controller achieves better control quality with higher control accuracy and faster response.
KW - electrode regulator system
KW - fuzzy control
KW - logistic interpolation algorithm
KW - submerged arc furnace
UR - https://www.scopus.com/pages/publications/84905252574
U2 - 10.1109/CCDC.2014.6852573
DO - 10.1109/CCDC.2014.6852573
M3 - 会议稿件
AN - SCOPUS:84905252574
SN - 9781479937066
T3 - 26th Chinese Control and Decision Conference, CCDC 2014
SP - 2388
EP - 2392
BT - 26th Chinese Control and Decision Conference, CCDC 2014
PB - IEEE Computer Society
T2 - 26th Chinese Control and Decision Conference, CCDC 2014
Y2 - 31 May 2014 through 2 June 2014
ER -