Quality Control And Simulation Of The Crude Gasoline Product In Main Fractionator Based On The Agent

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.