An extended self-organizing map network for modeling and control of pulse jet fabric filters

Pulse jet fabric filters (PJFFs) have become an attractive option of partic ulate collection utilities, because they can meet stringent particulate emi ssion limits regardless of variation in operating conditions. Despite their wide applications, the present control algorithm for PJFFs can best be des cribed as rudimentary In this paper, a modeling and control strategy based on the local model network (LMN) is proposed. An extended self-organizing m ap (ESOM) network is developed to construct the LMN model of the filtration process using the filter's input-output data. Subsequently, these ESOM loc al models are incorporated into the design of local generalized predictive controllers (GPC), and the proposed controller design is obtained as the we ighted sum of these local controllers. Simulation results show that the pro posed controller design yields a better performance than both conventional GPC and proportional plus integral (PI) controllers yield.