Adjoint matrix decoupling prediction function control method for petroleum refining industry

Abstract

The invention relates to an adjoint matrix decoupling prediction function control method for a petroleum refining industry. In the traditional method, control measure and control parameter depend on technicist experience completely, so that a control effect is bad. The method comprises the following steps of: building a adjoint matrix decoupling model based on the petroleum refining industry, digging out basic characteristics; building a prediction function control loop based on the adjoint matrix decoupling model; finally, computing parameter of the prediction function controller, and performing prediction function control for the object. The method builds an adjoint matrix decoupling prediction function control method for petroleum refining industry by measures such as data acquisition, procedure processing, prediction mechanism, data driving and optimization, and can effectively improve control precision and control smoothness. The method effectively reduces errors between ideal technological parameters and actual technological parameters, ensures that the control device is operated at the best state, and strictly controls technological parameters during a production process.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to an adjoint matrix decoupling predictive function control method for an industrial process of oil refining. Background technique [0002] The oil refining process is an important part of my country's process industry. Its requirement is to supply qualified energy, fuel and chemical raw materials and other industrial products to meet the needs of national economic development. For this reason, each main process parameter of the production process must be strictly controlled. With the increasingly intensified market competition, enterprises have higher and higher requirements for product quality and environmental protection. Coupled with the expansion of production scale, the process has become more and more complicated. Conventional and simple single-loop control can no longer meet the requirements of complex multi-variable processes. These unfavorable factors such as the multi-v...

AI Technical Summary

Problems solved by technology

Conventional and simple single-loop control can no longer meet the requirements of complex multi-variable processes. These unfavorable factors such as the multi-variables of the controlled object and the interrelationship between input and output lead to low precision of traditional control methods, which further lead to subsequent production failures. Unstable control parameters, low product pass rate, and low device efficiency

However, at present, the control means and control parameters in the actual industry are completely dependent on the experience of technicians, which not only increases the production cost, but also the control effect is not ideal.

my country's oil refining process control technology is relatively backward, with high energy consumption, poor control performance, and low degree of automation. It is difficult to meet the needs of energy conservation, emission reduction, and indirect environmental protection. One of the direct influencing factors is the problem of the control scheme of the system.

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