Co-simulation-based control system design and pid parameter tuning method and system

Abstract

The present invention provides a control system design and PID parameter setting method and system based on co-simulation. The present invention is based on the characteristic that various physical objects can be simplified to a constant transfer function model near a specific working condition. Through the basic method of co-simulation, the obtained The input and output historical data of the physical object establishes the frequency domain transfer function model of the physical object, forms a closed-loop control system with the PID control module, and can quickly complete the control system design and PID parameter tuning work; the present invention does not need In the test of the physical model, the physical model will not be destroyed or cause on-site safety problems; and all the work is completed under joint simulation, the design results are highly accurate, especially suitable for physical models with severe coupling.

Description

technical field [0001] The invention relates to the field of computer simulation analysis and automatic control, in particular to a control system design and PID parameter setting method and system based on joint simulation. Background technique [0002] PID (proportion-proportion, integral-integral, derivative-derivative) controller is the most widely used industrial controller in the world. It adjusts the deviation of the entire control system according to the PID control principle, so that the actual value of the controlled variable is consistent with the predetermined value required by the process. The performance of PID control system mainly depends on the tuning of PID controller parameters, such as Ziegler-Nichols frequency domain response method, frequency domain analysis method, phase margin setting method, pole configuration method, critical proportionality method, response curve method, etc. But the premise of all work is that there must be a transfer function mo...

AI Technical Summary

Problems solved by technology

However, this method is also directly tested against the physical model, which is inconvenient to operate, and may destroy the physical model due to the need to simulate the response under many high-frequency conditions

[0006] To sum up, the existing methods have the disadvantages of low precision and complex operation, and they are all aimed at the control of the physical model itself (not including hydraulic pressure or transmission), which has great limitations. Therefore, a method is urgently needed. A new technical means, which can complete the optimal design of the control system and the optimal setting of parameters on the basis of ensuring the accuracy of the design results

Images