Temperature Regulation Technology of Annealing Furnace Based on Fuzzy Self-tuning PID Algorithm
Due to the failure to consider the influence of annealing furnace temperature deviation values,the overshoot is relatively high and the adjustment effect is not satisfactory.To this end,a dynamic temperature adjustment technology for vacuum annealing furnaces based on an im-proved fuzzy self-tuning PID algorithm is proposed.Based on the working mechanism of the vacuum annealing furnace,the temperature varia-tion curve of the annealing furnace during operation is analyzed.The hyperbolic tangent function is used to calculate the temperature deviation value during the temperature adjustment process,and its dynamic temperature is set.An improved fuzzy self-tuning PID algorithm is used to construct a temperature fuzzy controller.By optimizing the internal control parameters of the designed temperature fuzzy controller,the control-ler structure is updated,and use the relevant parameters of the annealing furnace as input and the target temperature as output,thereby achie-ving dynamic adjustment of the annealing furnace temperature.The application results of the example show that the proposed method can effec-tively achieve dynamic adjustment of the temperature of the vacuum annealing furnace,with a low overshoot and good adjustment effect.
improve the fuzzy self-tuning PID algorithmvacuum annealing furnacedynamic temperature regulationfuzzy rules
万方数据
维普
