摘要
针对油田卧式水套加热炉热效率较低的情况,提出利用热管回收烟气余热,并根据其特性准确地控制水温。根据加热炉的工况需求进行热管的选型和安装。针对加热炉水温控制具有大滞后的特性,提出了单神经元SVM-Smith预测控制。利用支持向量机预测了被加热介质的流量,提高Smith预测补偿的准确性。采用单神经元PID控制和Smith预测补偿相结合的方式,整定控制系统的参数,取得了较好的控制效果。对构造的控制算法进行了计算机仿真,证明了算法的有效性,然后通过试验证明了热效率得到明显提高,热管余热回收的显著效果。
Aiming at the problem of lower thermal efficiency for the horizontal water jacket heating furnace in oilfield,the method of recovering the heat of exhaust gas with heat pipe,and controling water temperature accurately according to its characteristics is proposed.The selection and installation of heat pipes are carried out according to the working conditions of the furnace.Aiming at the characteristic of large lag of water temperature control of heating furnace,a single neuron SVM-Smith predictive control is proposed.The flow of heated medium is predicted by support vector machine.The accuracy of Smith prediction compensation is improved.The combination of single neuron PID control and Smith predictive compensation is used to adjust the parameters of the control system.Good control results is approached.The computer simulation of the control algorithm for the construction is conducted.The effectiveness of the algorithm is verified.The thermal efficiency is obviously improved by experiment.The heat recovery of the heat pipe is remarkable.
作者
赵强
孙景齐
苏振华
徐向前
Zhao Qiang;Sun Jingqi;Su Zhenhua;Xu Xiangqian(Xi’an Shiyou University,Xi’an,710065,China;Changing Oilfield Branch Company,Machinery Manufacturing Plant,Xi’an,710012,China;Changing Oilfield Branch Company,No.6Oil Production Plant,Xi'an,710012,China)
出处
《石油化工自动化》
CAS
2019年第2期30-34,共5页
Automation in Petro-chemical Industry
关键词
加热炉
热管
热效率
支持向量机
参数优化
heating furnace
heat pipe
thermal efficiency
support vector machine
parameter optimization