Design Of Adaptive PID Controller For Coke Oven Cooling Blower System

In the whole coking process, the cooling blower system is an important part of coke oven gas collector pressure system which has significance for the coking producting line. It mainly consists of gas-liquid separator, initial coolers, circulation tube, blower, and blower speed regulating system of devices and so on. Its main function is to adjust initial cooler suction, and realize stably transmission raw coke oven gas in different working conditions. In the process, the change of the initial cooler suction directly affects the coke oven gas pressure. It is difficult to establish a precise mathematical model because of its characteristics such as time variation and uncertainty. Therefore, It is significant to design an advanced controller to make the system keep long-term stable.This topic comes from the reconstruction project of coke oven cooling blower control system of Inner Mongolia Meifang coal coking plant. According to the occurrence of coke oven gas, the system can be divided into three different working conditions(maintenance working conditions, normal working conditions, abnormal working conditions). When operating conditions change, it will cause large fluctuations, the conventional PID control is difficult to make the primary cooler before the suction keep in a certain range.The nearest neighbor clustering algorithm training RBF network identification was utilized to establish the simulation model of coke oven cooling blower system and its control system, and the identified Jacobian information is used for BP neural network tuning PID parameter, and the adaptation of different conditions of self-tuning PID control will be achieved. Thus improving the output tracking accuracy of cooling blower system.Simulation results show that when the condition change the control system can make the primary cooler anterior suction of cooling blower system be quickly and effectively stable within a certain range. The control precision and stability are good,which ensure the stable operation of the coke oven cooling blower system under different conditions, and the adaptive ability of the system is effective for the stability of the production process.The actual operation results show that the system operation effect is improved after the transformation.