Modeling of CFB Boiler Combustion System based on PSO-IWOA Optimization Algorithm
To solve the problem that existing CFB boiler modeling methods need to adjust too many pa-rameters and have insufficient accuracy,a modeling method of particle swarm optimization improved whale optimization algorithm(PSO-IWOA)is proposed,which uses chaotic mapping to initialize the pop-ulation,adopts dynamic spiral updating,improves the convergence factor and introduces the particle swarm adaptive inertia weight.The method improves the global search ability,convergence speed and op-timization accuracy of the algorithm.The combustion system of CFB boiler is modeled by PSO-WOA algo-rithm,and the effectiveness of the model is verified by experiments.The experimental results show that PSO-IWOA algorithm can establish a more accurate combustion system model,and the model accuracy is improved by 86.51%.
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