The mill load control for grinding plant based on fuzzy logic

This paper considers the problem of controlling the mill load tor grinding plant The load state is essential to the powder production and quality of the mill. However, mill load fluctuates because of many parameters associated with the material filling-rate, the size distribution of material to be grinded, the coarse grains re-feeding amount, and material hardness. Additionally, The grinding process complex dynamics, nonlinearity, and uncertainty render traditional control techniques difficult to apply. Here, a fuzzy controller with real-time self-learning ability is employed to improve both the system performances and the adaptability. The control approach is implemented on a new type of ultra-fine grinding plant. The experimental results show that this control strategy maintained mill load stable and the demanded grain fineness distribution of product is obtained.