Abstract
Circulating fluidized bed boiler (CFBB) is a distributed parameter, nonlinear, time-varying and multivariate coupling system. Considering these, the core identity of Rough Set and the theory of self-organizing neural fuzzy inference system is applied to the control system of CFBB. The system is carried out toward the 300MW CFBB in Baima Sichuan province, and finally improve the performance of CFBB effectively.
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