Modeling and Optimization of Coal Moisture Control System Based on BFO

Coal moisture control process is a critical process in energy saving, pollution reduction and improving production efficiency and the quality of coke. To achieve precise control of coal moisture control system, against their strong coupling, large, nonlinear systems with time-delay characteristics using the RBF artificial neural network approach for modeling. And use the bionic BFO (Bacterial Foraging Optimization) according to the fitness to optimize the RBF Neural network parameters. Also compare the RBF Neural network performance optimized by these bionic BFO in order to achieve better results. This method provides a theoretical basis for accurate control of coal moisture process. To created the conditions for the reduction of energy and pollution with improving the quality of coke.