Valve position control method based on fuzzy neural network and humanoid intelligent control

Abstract

The invention relates to a valve position control method based on a fuzzy neural network and humanoid intelligent control. According to the method, the valve position deviation and the valve positiondeviation change rate are obtained by comparing and calculating the actual position of the valve with a given value; the humanoid intelligent controller enters different control modes according to therelation between the two, corresponding control signals are sent to the pneumatic execution structure, meanwhile, the fuzzy neural network conducts real-time on-line setting on the control parametersof the humanoid intelligent controller, the pneumatic execution structure drives the valve rod to move after receiving the control signals, and then the position of the valve is adjusted. The problems that the actual production process with nonlinearity and large time lag is difficult to control by the traditional PID control and the control parameters of the humanoid intelligent controller are difficult to set in real time are solved, the valve position control process can be dynamically controlled in real time, the accuracy and the robustness of the control process are greatly improved andstable and continuous work of the valve is facilitated.

Description

technical field [0001] The invention relates to the field of industrial automatic control, in particular to a valve position control method based on fuzzy neural network and humanoid intelligent control. Background technique [0002] In the industrial production system, the adjustment of environmental factors such as temperature, pressure, liquid level, concentration, etc., which are closely related to product quality, need to be adjusted through the control of the opening (valve position) of the regulating valve. Whether the valve position meets the production requirements is directly related to Whether the entire production system can operate safely. [0003] As an auxiliary accessory of the regulating valve, the valve positioner controls the regulating valve by following the given value of the valve position in real time. Nowadays, the vast majority of valve positioners still use the conventional PID control algorithm as the main control algorithm. Due to the different w...

AI Technical Summary

Problems solved by technology

[0010] Aiming at the deficiencies of the prior art, the present invention provides a valve position control method based on fuzzy neural network and human-like intelligent control, the purpose of which is to solve the complex and changeable valve position control process and the inability to establish an accurate mathematical model, resulting in conventional PID control Insufficient control accuracy and difficult real-time tuning of human-like intelligent control control parameters

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