Progressive setting method for PID parameters

Abstract

The invention provides a progressive setting method for PID parameters. The progressive setting method comprises the steps: determining an optimization problem expression corresponding to a controlledsystem and a reference system model expression corresponding to the controlled system based on a controlled system structure; determining a PID parameter selection range as a parameter setting constraint condition; determining an initial value of an optimization target parameter, and judging whether PID parameter setting operation is triggered or not based on the numerical relationship between the current parameter value and the target parameter value: if the PID parameter setting operation is triggered, circularly solving the optimization problem expression based on the reference system model expression under the parameter setting constraint condition. PID controller parameters are directly set based on process input and output data, so a modeling process is not needed; therefore, modelerrors caused by modeling, a large amount of test data required by modeling and the time cost of test modeling are avoided. Meanwhile, only a small amount of test data and computing resources are needed, so the generation is not greatly disturbed in the setting process, and the method is suitable for online setting of the PID controller.

Description

technical field [0001] The application belongs to the field of parameter setting, in particular to a progressive setting method for PID parameters. Background technique [0002] PID control is one of the most common and effective control methods in the field of industrial process control. According to statistics, more than 90% of automatic control loops adopt PID control strategy. The advantages of PID control include simple structure, good stability, safety and reliability, and easy adjustment. Although the PID controller has the above advantages, how to tune the parameters of the PID controller to ensure the good performance of the closed-loop control system has been studied by academic and industrial circles. Traditional PID controller tuning methods include Ziegler-Nichols (Z-N) method, critical proportionality method, decay curve method, pole configuration method, lambda method and tuning methods based on internal model control, etc. These methods can be divided into...

AI Technical Summary

Problems solved by technology

However, the disadvantage of this type of method is that the quality of the tuning depends on the quality of the model

If the historical data lacks incentives, then the credibility of the model will be greatly reduced

In addition, from the perspective of online applications, although the online model identification method can be the basis for online parameter tuning, it requires a large amount of operational data to ensure sufficient data incentives

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