Dynamic matrix control method for controlled object with integrals and delay link

Abstract

The invention relates to a dynamic matrix control method for a controlled object with integrals and a delay link. The method comprises the steps that (1) a controlled object with integrals and the delay link is provided; (2) a feedback path is set for the controlled object with integrals and the delay link, and the controlled object with self-balancing capacity is constructed; (3) a simplified model of the controlled object with the self-balancing capacity is constructed; (4) a dynamic matrix controller is designed for the simplified model of the controlled object with the self-balancing capacity, and a virtual real-time prediction control signal is obtained; (5) an actual real-time prediction control signal of the controlled object with integrals and the delay link is obtained according to the virtual real-time prediction control signal, and the dynamic matrix control is achieved. Compared with the prior art, the method can overcome defects existing in a dynamic matrix control algorithm and improve deficiencies of the control quality of the traditional control method, and the implement method of the dynamic matrix control on the controlled object with integrals and the delay linkis provided.

Description

Technical field [0001] The invention relates to the field of control technology, in particular to a dynamic matrix control method of a controlled object with integral and delay links. Background technique [0002] In industrial process control, there are many controlled objects with large inertia, large delay, and it is difficult to obtain accurate mathematical models. For complex nonlinear systems with integral and delay links without self-balancing ability, the traditional PID control method has insufficient adjustment effect Ideally, there are disadvantages such as slow response speed and large overshoot. [0003] Dynamic matrix control (Dynamic Matrix Control, DMC) is a predictive control algorithm based on the step response of the controlled object. It has low model requirements, small computational complexity and strong robustness. At present, the DMC algorithm can be directly used for controlled objects with self-balancing ability in industrial process control, and truncati...

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Problems solved by technology

In order to solve this problem, scholars have conducted a lot of research, which can be divided into two categories: one is mainly research on the controlled object, such as decomposing the unstable model to obtain the stable part for DMC controller design, but it is limited to theoretical Solve the application problem of the algorithm; the other type mainly studies the algorithm itself, such as improving the iterative matrix of the DMC algorithm to solve the truncation error of the prediction model, but does not fully consider the acquisition of actual engineering signals

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