In fuzzy optimal control system of ball mills

the load of ball mills

i.e.coal in the mill

is measured by using noise sensors.Utilizing the singnal processing technique and fitting with multi-element function

as well as Fast Fourier Transform(FFT)

the noise character spectrum has been identified

and combining with neural network soft-measuring technique

the comparatively accurate measured value being obtained.A simple optimization method has been adopted to carry out stead-state supervisory optimization

so as to enhance output capacity of the coal-pulverizing system.The date-base maintenance

system control

and system configuration are managed separatly

making the system to have more flexibility.Practical application shows that the output capacity has increased by a big margin after adopting the fuzzy optimal control system

the unit consumption of total coal-pulverizing system decreased about 3.5 kW·h/t

having remarkable energy-saving reslut.