Realization method of single neuron pid controller based on configuration components

Abstract

The present invention relates to the technical field of industrial automation control, in particular to a method for realizing a single-neuron PID controller based on configuration elements, comprising the following steps: 1. Design a main control loop, and make the whole system a closed-loop control system through the main control loop ;2. Design the controlled object, and build a simulated controlled object on the simulation control platform that can perform pure theoretical simulation; 3. Complete the design and development of the single neuron PID controller in the industrial control configuration software; 4. Through the simulation The feedback output by the controlled object automatically adjusts the PID weight value online; 5. Test the control effect of the single neuron PID controller on the simulated controlled object in the industrial control configuration software; 6. The simulation control station software is replaced by the actual control station, Complete the control of the actual hardware equipment by the single neuron PID controller. This method is not only simple in programming and easy to implement, but also improves the control effect and versatility of the single neuron PID controller.

Description

technical field [0001] The invention relates to the technical field of industrial automation control, in particular to a method for realizing a single-neuron PID controller based on configuration elements. Background technique [0002] Due to its simple algorithm, good robustness and high reliability, the traditional PID regulator is widely used in industrial process control and has achieved good control results. However, as the production process becomes more and more complex, controlled objects with complex mathematical models are often encountered. Because the parameters of traditional PID are not easy to adjust online in real time, its application is greatly restricted and challenged, especially for large lag and time-varying And nonlinear complex systems, the traditional PID control is even more powerless. Therefore, adding an advanced intelligent control algorithm to the traditional PID control is to solve the difficult-to-control industrial process problems such as t...

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Problems solved by technology

[0005] However, the above implementation methods all have disadvantages in different aspects: 1. The method of directly writing codes in a special programming language on the control station will be limited by the programming method of the controller hardware itself, and the algorithm portability is not good. Secondly, the versatility is insufficient , in order to protect the interests of their own brands, each manufacturer adopts different programming rules and programming styles for controllers of different brands. It is basically impossible to transplant the algorithm programmed on one brand controller platform to another brand controller without modification. On the platform, the code written in addition cannot be modified online. When the code needs to be modified, the controller must be stopped first; 2. The data transmitted in the communication mode between the simulation platform and the controller using the OPC standard interface needs to enter a non-real-time database for processing. Data processing leads to low real-time performance of the system; 3. The method of encapsulating and calling the algorithm using automation software in the host computer will cause the logical calculation process to be unable to be visualized due to the result of encapsulating the code, and the algorithm cannot be modified online, and due to the use of components The technical plug-in needs the support of the Microsoft operating system, so it can only be applied to controllers such as industrial computers with the Microsoft operating system

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