【作者】 崔丹丹；

【导师】 陈铁军；

【作者基本信息】 郑州大学 ， 控制理论与控制工程， 2009， 硕士

【摘要】 反映流化催化裂化装置(FCCU)主分馏塔产品质量指标的重要参数是粗汽油的干点和轻柴油的倾点。对它们实行“卡边控制”,提高经济效益,一直都是石油炼制企业所关注的问题。在加工石油过程中,催化裂化主分馏塔系统的机理比较复杂、耦合严重、非线性强以及干扰因素众多,以致很难建立适当的模型,并且装置的产品质量、收率等指标,往往受到严格的操作条件制约。所以,采用传统的控制策略很难平稳运行装置。针对主分馏塔系统,寻找有效增产、节能的先进控制和过程优化方法是过程控制领域中富有挑战性的工作。本文以提高产品质量为目标,运用基于Agent网络模型的控制方法对塔顶分馏过程进行控制,以粗汽油产品质量控制为切入点,展开了理论与实践两方面的研究,主要内容如下:1.针对复杂系统的过程控制问题,提出了一种基于智能Agent的Agent网络模型方法。该方法通过预估和控制算法对复杂工业过程进行预估和控制,增强了系统的稳定性。2.认真分析催化裂化主分馏塔的工艺流程,找到影响粗汽油产品质量的主要因素以及它们之间的控制关系和控制难点。利用质量变量与加工过程机理间的关系建立测量模型,通过建立的粗汽油干点软测量分析仪,实施产品质量的监测与控制。3.根据影响粗汽油产品质量的主要因素以及它们之间的控制关系,按照Agent网络模型思想,提取控制方面起主要作用的控制关系,建立粗汽油产品质量控制的Agent网络模型。然后,对该模型的预估和控制算法进行设计。系统分析和设计,均在各Agent单元级进行。整体系统控制品质的获得依赖于各Agent单元按照结构的协调,控制指令从上级逐级向下级传递,这样保证了各Agent单元的设计与子网络和整体性能联系起来。仿真结果显示,本文建立的粗汽油产品质量控制的Agent网络模型,具有良好的稳定性、抗干扰和容错能力,实现了粗汽油产品质量的有效控制。更多还原

【Abstract】 Crude gasoline endpoint and light diesel oil pour point is important parameters to reflect product quality indicators of FCCU main fractionators. Its implementation of "bounder control" to enhance economic efficiency has been the oil refining enterprises concern. In the oil processing, mechanism of the FCCU main fractionating tower is complex; nonlinearity is strong; coupling is serious, and the number of interference factor is numerous. So it is difficult to establish a satisfactory model. Moreover, targets including yield coefficient of the device and product quality are often restricted by the harsh operating condition. It is very difficult to realize smooth operation of the device by conventional control strategy. For the main fractionating tower system, looking for effective increase production, energy-saving advanced control and process optimization method is a challenging job in the field of process control.This paper takes improving the quality of products as the objective, uses control method based Agent network model to control the fractionation process in the top tower, takes crude gasoline product quality control as the breakthrough point, and carries out both the theory and practice of research.The main contents are as follows:1. For process control problem of the complex system, a Multi-Agent-based network model of the Agent was put forward. This method was used to prospect and control the complex industrial process through prediction and control algorithm, enhanced the stability of the system.2. Carefully analyzed process flow of the FCCU main fractionators, succeeded in finding the major factors, impacted crude gasoline product quality, as well as their control relationship and control difficult points. Using the relationship of quality variables and process variables, or the relationship between quality variables and processing mechanisms, set up the measurement model. Then monitoring and control the product quality through the established crude gasoline endpoint soft-sensing analyzer. 3. According to the major factors, impact crude gasoline product quality, as well as the control relationship between them, in accordance with the Agent network model idea, extract the control relationship, play a major role in control system, establish the Agent network model of crude gasoline product for quality control. Then design prediction and control algorithm of the model. Systems analysis and design, all go ahead in the Agent units. The control quality of the overall system was dependent on the Agent units in accordance with the structure of coordination, control commands from the superior to the lower level transmission; this ensures that the design of the Agent units can be linked with control of sub-networks and the overall performance.The simulation results show that the Agent-based network model makes the qualitycontrol of crude gasoline endpoint has a good stability, tolerance and anti-interferencecapability, realized the effective control of the product quality.更多还原