Application of MEC-Based Fuzzy Control in Boiler of Sludge Combustion

Abstract

To meet the requirements that sludge should burn and generate electricity cleanly in recycling fluidized bed boiler and the bed temperature must be controlled within a given range, a bed-temperature fuzzy controller was designed based on the operation characteristics of sludge combustion in recycling fluidized bed boiler and with bed temperature being used as the control parameter. Mind Evolutionary Computation was adopted to obtain fuzzy control rules. In order to accelerate the process of search and convergence, artificial operation experiences were used to represent excellent modes in populations. The mode and speed of convergence and variation were controlled through experience and heuristic messages, so that the efficiency of generating fuzzy control rules was improved. The simulation results show that the system has excellent control performance and can secure the stability of main steam pressure and bed temperature while satisfying the loading requirement. It has important reference values for sludge combustion control in recycling fluidized bed boiler.