Abstract
The article developed a system for controlling the process of cement separation using neural networks. The control object is a separator. The task is to improve the cement production process control system by installing a frequency converter and an electric air damper. In order for the current frequency and the degree of opening of the damper to be set automatically, a neural network was developed for the separation process, which has two input and two output parameters. The neural network is able to adjust the rotor speed of the separator, relying on sensors that control the speed of the separator rotor and the size of the cement particles. If the speed of rotation of the rotor of the separator becomes low, artificial intelligence will adjust the fineness of grinding, changing the degree of opening of the damper for air supply to the separator. If the speed of rotation of the separator rotor approaches the maximum, and the grinding fineness has not reached the specified values, then the grinding fineness is controlled by changing the degree of opening of the damper for air supply to the separator.
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