2d Input-Output Constrained Tracking Control Method for Multi-stage Batch Process

Abstract

The invention provides a multi-stage intermittent process 2D input-output constraint tracking control method. Firstly, aiming at the repeatability and two-dimensional characteristics of the batch process, a 2D closed-loop system model is established, and the system state error and output error are further introduced to transform the batch process into an equivalent 2D‑Roesser model. Combined with iterative learning control and predictive control, according to the The designed infinite optimization performance index and the Lyapunov stability theory of 2D system give the design of the system update law to ensure the asymptotic stability of the closed-loop system in the form of linear matrix inequality (LMI) constraints. The invention has the advantage that the numerical value can be obtained directly without calculating the setting of other parameters, which can not only ensure the optimal control performance of the system, but also shorten the running time of the system and achieve high-efficiency production.

Description

technical field [0001] The invention belongs to the advanced control field of industrial processes, and relates to a 2D input-output constraint tracking control method for multi-stage intermittent processes. Background technique [0002] In recent years, with the development and research of a large number of new products in the fields of fine chemicals, biopharmaceuticals, and metal processing, batch processes have attracted extensive attention from industry and academia. In the face of small-scale, low-cost, high-value-added industrial production needs, the control of batch processes has become the focus of attention. [0003] With the expansion of production scale and the increase of the complexity of production steps, the interference in actual production is becoming more and more obvious, which not only affects the efficient and stable operation of the system, but also reduces the quality of products. In addition, in the actual production process, the batch process has ...

AI Technical Summary

Problems solved by technology

If the design of the controller does not consider the restrictions on input and output, it is very likely that it will reach a saturated state and cannot be changed. As a result, the control performance of the system will deteriorate, and it may even affect the stability of the entire system.

In addition, under the constraints, it is also a difficult problem to find the optimal solution of the input and output values

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