Multi-objective Setting Value Optimization of Cement Combined Grinding System based on NSGA-II

Abstract

In order to solve the problem of setting value optimization for stability control of cement grinding system, this paper proposes the optimal set value optimization of energy consumption based on NSGA-II multi-objective optimization algorithm. The setting value of the system stability controller determines whether the optimal energy consumption is achieved during the cement grinding system, and it is also one of the more important concerns in cement optimization. Under the actual data of cement grinding system, the NSGA-II multi-objective optimization algorithm uses the main circulating fan speed, bucket current and powder separator speed as the variable of making decision, ≤45um cement content, ball mill current and average cement output as the target value. The relationship between the decision variable and the target value is approximated by BP neural network. The simulation results of the multi-objective optimization algorithm show that the optimal target value is in line with the set value of the actual system stability control.