Adjoint matrix decoupling prediction control method for oil refining industrial heating furnace temperature process

Abstract

The invention relates to an adjoint matrix decoupling prediction control method for the oil refining industrial heating furnace temperature process. A control means and a control parameter of the traditional method are completely dependent on the experience of technical personnel, so that a control effect is poor. The method comprises the following steps of: firstly, establishing an adjoint matrix decoupling process model based on an oil refining industrial heating furnace process model, and excavating basic process characteristics; secondly, establishing a prediction control loop based on the adjoint matrix decoupling process model; and finally, performing prediction control on a process object by calculating a parameter of a prediction controller. The adjoint matrix decoupling prediction control method for the oil refining industrial heating furnace temperature process is established through data acquisition, process treatment, prediction mechanism, data driving and optimization means and the like; and by the method, control accuracy can be effectively improved, control stability is improved, an error between an ideal process parameter and an actual process parameter is effectively reduced, and a control device is operated in the optimal state.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to an adjoint matrix decoupling predictive control method for the temperature process of a heating furnace in the oil refining industry. Background technique [0002] Industrial heating furnace is an important component of my country's oil refining process. Whether the control of the heating furnace is effective or not is the key to achieving "safe, stable, long, full, and excellent" production operations. energy consumption is significant. For this reason, each main process parameter of the production process must be strictly controlled. With the market's higher quality requirements for petrochemical products and the development of production technology, the process has become more complex. Simple single-loop process control is difficult to meet higher control requirements, forming the requirements for advanced stages of development from conventional control to complex control and...

AI Technical Summary

Problems solved by technology

With the market's higher and higher quality requirements for petrochemical products and the development of production technology, the process has become more complex

Simple single-loop process control is difficult to meet higher control requirements, forming the requirements for advanced stages of development from conventional control to complex control and advanced control

The resulting problem is that the controlled object becomes a complex multi-variable object, and the input and output are related to each other.

These unfavorable factors lead to the inability to improve the traditional control accuracy, and further lead to the instability of subsequent production control parameters, low product qualification rate, and low device efficiency

At present, the control in the actual industry basically adopts traditional simple control methods, and most of the control parameters depend on the experience of technicians, which increases the production cost and the control effect is not ideal.

The control and optimization technology of process heating furnace in my country's oil refining industry is relatively backward, with high energy consumption, poor control performance and low degree of automation. It is difficult to meet the needs of energy saving, emission reduction and indirect environmental protection. One of the direct influencing factors is System control scheme issues

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