Valve position control method based on fuzzy neural network and human-like intelligent control

Abstract

The invention relates to a valve position control method based on fuzzy neural network and human-like intelligent control. The method calculates the valve position deviation and the valve position deviation change rate by comparing the actual position of the valve with a given value, and simulates human-like intelligence. The controller enters different control modes according to the relationship between the two, and sends corresponding control signals to the pneumatic execution structure. At the same time, the fuzzy neural network performs real-time online adjustment of the control parameters of the humanoid intelligent controller, and the pneumatic execution structure receives the control signal. After the signal drives the displacement of the valve stem, and then adjusts the position of the valve. The example of the invention solves the problem that the traditional PID control is difficult to control the actual production process with large time lag and nonlinearity, and the control parameters of the humanoid intelligent controller are difficult to adjust in real time, and can perform dynamic real-time control on the valve position control process, greatly improving the control The accuracy and robustness of the process are conducive to the stable and continuous operation of the valve.

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 human-like 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, most valve positioners still use the conventional PID control algorithm as the main control algorithm, and due to the different working env...

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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