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Study on the application of recurrent fuzzy neural network in PH control system of absorption tower

Based on the nonlinear and time-delay issues of the PH value change in wet flue gas desulfurization process, a kind of recurrent fuzzy neural network (RFNN) method was used in the pH value control system of absorption tower. All the simulations were carried out in MATLAB, and a lot of simulation works were done. This paper compared the control algorithm based on RFNN with the traditional PID control method. The results showed that the performance of control method based on RFNN is better than that of traditional PID control method.