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本文针对炼油生产过程中航空煤油的质量控制,从工艺机理出发确定了常压塔航空煤油质量控制的模型结构及其变量,运用 PRBS 信号进行了工业性扰动实验,根据所获实验数据辨识了模型参数,建立了状态空间模型。在此基础上设计实现了二次型状态反馈最优控制。同时,针对塔压扰动的时变特性,将在线辨识与前馈补尝原理相结合,提出并设计了自适应前馈补尝环节,有效地克服了时变塔压扰动。系统投运后,航空煤油质量控制精度大为提高,波动范围较过去缩小了50%。人为考核与台风、暴雨等恶劣环境条件所致干扰情况下产品质量均保持合格,统计合格指标明显上升,从而使航空煤油的产率得以提高,获得了较显著的经济效益。同时,也减轻了操作工人的劳动强度,并增强了他们对应用现代控制理论和技术的认识和信心。
Aiming at the quality control of aviation kerosene during the process of oil refining, the model structure and its variables of aviation kerosene quality control at atmospheric tower were determined from the process mechanism. The industrial disturbance experiment was carried out by using PRBS signal, and the model was identified based on the experimental data Parameters, the establishment of the state space model. Based on this, the quadratic state feedback optimal control is designed and implemented. At the same time, aiming at the time-varying characteristics of turbulence disturbance, the principle of on-line identification and feedforward compensation is combined and an adaptive feedforward compensation is proposed and designed to effectively overcome the time-varying turbulence. After the system put into operation, aviation kerosene quality control accuracy greatly improved, the fluctuation range reduced by 50% than in the past. Human assessment and typhoon, torrential rain and other harsh environmental conditions caused by the interference of product quality are maintained, the statistical indicators of compliance increased significantly, so that the aviation kerosene yield has been increased, and achieved significant economic benefits. At the same time, it also reduces the labor intensity of operators and enhances their awareness and confidence in the application of modern control theory and technology.