Optimization of Variable Frequency Speed Regulation System of Ventilators in Podi Coal Industry Co.,Ltd.
In order to effectively solve the problem of low frequency speed regulation effect and high energy consumption of ventilators in Podi Coal Industry Co.,Ltd.,a speed regulation optimization scheme of S7-300 PLC control platform based on BP neural network multi-sensor fusion was proposed.The nonlinear mapping relationship between the input signal and fan operating frequency and blade displacement(installation angle)was applied,and then the fan speed and blade installation angle were optimized by frequency conversion and electro-hydraulic servo respectively.Field experiments show that the optimization of the frequency conversion speed regulation system of ventilators can effectively correct the uncertain disturbance caused by the change of wind resistance characteristics and ventilator operating state,and can realize the cooperative optimization of the highest ventilator efficiency and the lowest power loss under the premise of meeting the actual air demand.
frequency conversion optimizationBP neural networknonlinear mapping
NETL
NSTL
万方数据
维普
