Control method of industrial process and equipment

Abstract

The invention discloses a control method of an industrial process and equipment. The control method includes an off-line method and an on-line method. The off-line method includes a step of calculating model vector adjustment factors based on a control input upper limit, a control input lower limit, a controlled output upper limit and a controlled output lower limit, so that a model vector after normalization is obtained. The on-line method includes the steps of carrying out control input and controlled output normalization operations based on current moment control input and controlled output instantaneous values, and controlling and calculating according to numerical values after control input and controlled output normalization and the model vector after the normalization, then the method is used for carrying out reverse normalization conversion according to control input calculating results obtained through optimal computation, and enabling the control input calculating results to be restored within the scope of a normal control input lower limit and a normal control input upper limit, and downloading the control input calculating results to a control system.

Description

Technical field [0001] The present invention relates to the field of industrial process control, in particular to a control method and equipment of an industrial process. Background technique [0002] In the process industry field, the process control system used usually has multiple control input variables, disturbance variables, and multiple controlled output variables. This type of control system often uses a calculation method called predictive control for calculation. [0003] A commonly used predictive control method is a multivariable predictive control method based on step response. For example, suppose the number of control input variables of the process is m And the number of controlled output variables is p , Control input And controlled output The step response coefficient model between is , Is 1 and p An integer between, Is 1 and m Integer between. At each control moment, set Input Incremental change , , Which can calculate the process Output The step pred...

AI Technical Summary

Problems solved by technology

In view of the certain coupling relationship between the output value range and the controller error weight coefficient parameters, it makes the selection of the controller error weight coefficient parameters very difficult in engineering practice

To distinguish the importance of different outputs, The value span will be relatively large, theoretically The range of values ​​is , which is very unfavorable for engineers to design controllers

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