Distribution type PI and PID controller quantitative setting method for industrial multi-input-output process

Abstract

The invention is about a kind of quantitative setting method of the distributed PI and the PID control in the input and output process of industry, which is used in the control technological area. Firstly it gets a diagonal transfer function matrix model that is effective and equivalent through an effective relative coupled analytical method based on the transfer function matrix model of the controlled device that is got by identification. Then it can get the quantitative setting formula the distributed PI and the PID control. The advantage of this invention is that the setting course is simple and direct-vision with fewer data calculation, because of considering the dynamic property of system linking. The method of the invention can make the adjusting sub-control of one-parameter on line come true so that apparently improve the effect of the control by short-cut operation.

Description

technical field [0001] The invention relates to a method used in the technical field of industrial process control, in particular to a quantitative setting method for distributed PI and PID controllers of industrial multi-input and output processes. Background technique [0002] In the process industry, simple feedback control loops using PI and PID control strategies have become the core system of process control since the 1940s. At present, PI and PID controllers are still widely used, and even in the most modern devices that adopt DCS control in large quantities, such loops still account for 80%-90% of the total loops. However, single-loop PI and PID control are not suitable for all processes. When the controlled process involved has the characteristics of strong coupling, uncertainty and large pure hysteresis, such control methods cannot be directly applied. For this reason, PI and PID controller matrix design methods for multi-input-output processes with complex charac...

AI Technical Summary

Problems solved by technology

When these methods are applied to high-dimensional and multi-variable processes, it is often necessary to use numerical optimization design methods to tune the controller. The amount of data calculation is relatively large, which is not convenient for online adjustment and setting, and the relevant professional theoretical knowledge used is relatively large. Many, it is not easy to be mastered and popularized by engineers and technicians

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