Boiler drum water level control method based on fuzzy neural network PID (Proportion Integration Differentiation) control

Abstract

The invention provides a boiler drum water level control method based on fuzzy neural network PID (Proportion Integration Differentiation) control. The method comprises the following steps: analyzing characteristics and modeling conditions of a boiler drum water level control system; modeling a control object of the boiler drum water level control system; finishing the development of components of a fuzzy neural network PID control system in configuration software; realizing control logic of the boiler drum water level control system through component configuration in the configuration software; testing the control effect on the boiler drum water level, from the fuzzy neural network PID control system in the configuration software. According to the method, the shortcomings of conventional PID control are overcome and the self-adaptability of the control system is improved; a fuzzy neural network PID control algorithm is integrated in the configuration software in a manner of components, so that the efficiency of communication between a control strategy and a control station is improved, and the real-time property of online operation of the advanced control strategy is greatly improved.

Description

【Technical field】 [0001] The invention relates to the control of boiler drum water level in the process industry field, in particular to a method for controlling boiler drum water level based on fuzzy neural network PID control, and belongs to the technical field of industrial automation control. 【Background technique】 [0002] In the process industry system, the boiler is an indispensable power equipment for industrial production processes such as chemical industry, oil refining, and power generation. Boiler is a complex energy conversion equipment, which is the power and heat source of the whole factory. With the expansion of industrial production scale and the continuous updating of production equipment, boilers are developing towards the direction of large capacity, high parameters and high efficiency, so the control of boilers has become very important. Due to the huge size of the boiler, the physical and chemical changes inside it are very complex, and the various cha...

AI Technical Summary

Problems solved by technology

Although these methods can achieve good control results in the laboratory research stage, when they are applied to the actual industrial control system, due to the differences between the fuzzy neural network PID control and the traditional control in design, development, debugging, operation, etc. Large differences, the collaborative debugging between the fuzzy neural network PID control strategy and the control system is difficult, and the efficiency of the online update of the control strategy is also difficult to grasp, which greatly affects its application effect in boiler drum water level control

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