Supervisory Predictive Control of Circulating Fluidized Bed Based on T-S Fuzzy Neural Network

Abstract

In this paper, the algorithm and theory of supervisory predictive control (SPC) based on T-S fuzzy neural network is proposed and applied in Circulating fluidized bed (CFB) boiler system successfully. SPC combines both the plant economic process optimization and regulatory process control into a hierarchical control structure, in which the economic optimization is at the upper level and the dynamic tracking is at the lower level. Nonlinear CFB process is expressed by T-S fuzzy neural network. The simulation results of CFB system show that the SPC has more reliable and satisfactory control effects.