Adaptive Fuzzy Control for the Electric Furnace
The electric furnace is a multi-variable nonlinear industrial complex plant. It is very hard to give the exact mathematical model and to confirm parameters. In this paper, the adaptive fuzzy control is applied into the temperature control of the electric furnace to avoid the influence of the inaccuracy of model. In order to improve the limitation of the traditional fuzzy control, the fuzzy algorithm is used to online tune the three parameters of the traditional fuzzy control system. Simulation experiment of the system applying the classic PID, traditional fuzzy control and the adaptive fuzzy control has been done. Simulation results show that system adopted adaptive fuzzy control has shorter settling time, smaller overshoot, faster rise time, good capacity of antidisturbance and comparatively strong robustness.
Adaptive fuzzy control electric furnace temperature control
Fei Teng Hongxing Li
College of Information Science & Technology Beijing University of Chemical Technology Beijing,100029 Automation College Beijing Union University Beijing,100101,China
国际会议
上海
英文
1342-1346
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）