Design method for multi-input multi-output process decentralized proportion integration differentiation (PID) controllers

Abstract

The invention discloses a design method for multi-input multi-output process decentralized PID controllers, which is used in a technical field of industrial process control, and comprises the following steps: 1, preparing an identification model of a transfer function matrix as the controlled object in a multi-input multi-output process, and performing circuit pairing by using a relative gain array and a Niederlinski factor; 2, deducing the transfer functions of the decentralized controllers of all circuits by using a Backstepping process; and 3, making the decentralized controllers in the step 2 equivalents of proportional integral (PI) and PID controllers according to first-order inertia and first order plus dead time transfer models respectively, and providing a selection method for parameters to be tuned of the PI / PID controllers. In the invention, the coupling relationship of a multivariable system is taken into full consideration, the human factor brought by the adoption of experience or trial and error in the conventional PID controller parameter tuning is eliminated, and the method is suitable for a high-dimensional multi-input and multi-output process. When the method disclosed by the invention is adopted, the parameters of the controllers can be tuned on line, the operation is simple and convenient, and an obviously improved control effect can be achieved in set value tracking, anti-interference performance and other performance.

Description

technical field [0001] The invention relates to the field of industrial process control, especially the technical field of PID control. Background technique [0002] In engineering practice, the most widely used regulator control law is proportional, integral, differential control, referred to as PID control, (Proportion Integration Differentiation), also known as PID regulation. It has been nearly 70 years since the PID controller came out. It has become one of the main technologies of industrial control because of its simple structure, good stability, reliable operation and convenient adjustment. Due to the simplicity of the algorithm, strong robustness and high reliability, it has been widely used in the control of actual industrial processes. Even today when advanced control strategies emerge in an endless stream, PID control still occupies a dominant position in process control because of its simple structure, convenient adjustment and maintenance, concise algorithm an...

AI Technical Summary

Problems solved by technology

However, when these advanced control algorithms are applied to multiple-input and multiple-output processes, it is often necessary to use numerical optimization design methods to tune the controller, which requires a large amount of data calculation and is not easy to adjust online. It lacks a clear correlation with the system characteristics of the actual process object, so it is difficult for operators who are familiar with PID parameter adjustment to understand the meaning of advanced control algorithms

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