Industrial process control method and industrial process control equipment

Abstract

The invention discloses an industrial process control method and industrial process control equipment. The method comprises the steps of setting a steady-state input variable weight for a steady-state input variable corresponding to each input variable in a steady state and setting a steady-state input variable target value for at least one steady-state input variable. Optimization calculation is carried out based on an objective function and a steady-state functional relationship model between multiple steady-state output variables and multiple steady-state input variables so as to obtain a value, enabling the objective function to take an extreme value under the condition of meeting a preset condition, of a next-time steady-state input variable, and the value is used as a next-time steady-state input variable value. The next-time steady-state input variable value is transmitted to a basic control loop to control controllable variables of industrial equipment. The method provided by the invention can enable industrial process control based on a target setting point to be realized on the premise of giving consideration to the economic performance of a system.

Description

technical field [0001] The invention relates to the field of industrial process control, in particular to an industrial process control method and equipment. Background technique [0002] Process control systems used in industrial processes typically have multiple input variables and multiple output variables that vary as those input variables change. The plurality of input variables are typically controllable variables of the industrial equipment performing the industrial process, while the plurality of output variables may be variables related to the outcome of the operation of the industrial process. The multivariable control of industrial process can be divided into two layers, the upper layer is steady-state optimization, and the lower layer is dynamic control. The actual industrial process is dynamic, so the state of the system is constantly changing. The steady state of an industrial process refers to the steady state of the system when the time tends to infinity. ...

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Problems solved by technology

[0015] Although this method can make the new steady-state operating point (U ∞ (k+1), Y ∞ (k+1)) is close to (U T , Y T ), but this target set point tracking method is only for the purpose of the closeness to the target setting, without considering the economic performance, and it is not practical for industrial process control

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