Device for identifying non-linear process dynamic model

A dynamic model and model identification technology, applied in the field of control, can solve the problems that the linear model is not accurate enough, and the linear MPC cannot obtain the control effect, etc.

Active Publication Date: 2009-11-25
朱豫才
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Problems solved by technology

However, linear MPC has limitations: when the industrial process works in a large area or in intermittent operation, the linear model is usually not accurate enough, so linear MPC may not be able to achieve satisfactory control results
For nonlinear MPC, one of the most challenging tasks is to identify the dynamic model of the nonl

Method used

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  • Device for identifying non-linear process dynamic model
  • Device for identifying non-linear process dynamic model
  • Device for identifying non-linear process dynamic model

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Embodiment Construction

[0020] The present invention can handle continuous industrial processes as well as batch industrial processes. Typical examples of continuous industrial processes include lubricating oil production units of different viscosities, polymer plants producing multiple product sizes, coal-fired power generating units operating at different loads. Typical examples of batch industrial processes include fermentation processes with dramatic changes in biomass, rapid thermal processes with wide temperature changes in the semiconductor industry. These processes produce very different changes at different operating points or in different operating ranges, so linear controllers or linear MPC based on linear models cannot achieve satisfactory control results.

[0021]If the model can make an approximate description of the changes in the narrow vicinity of the industrial process operation trajectory, then it can be competent for the control task of the industrial process. The operation traje...

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Abstract

The invention relates to a device for identifying a non-linear process dynamic model, which comprises an experimental module and an identifying module. The experimental module is connected with a non-linear industrial process through DCS or PLC or other control machines and is connected with the identifying module. The experimental module generates an experimental signal and automatically carries out an experiment; and the identifying module uses the current process experimental data input by the experimental module to automatically identify the non-linear process dynamic model to check the quality of the model and send an adjusting signal according to the quality of the model, and the adjusting signal is input into the experimental module to adjust the current experimental parameter. The device for identifying the non-linear process dynamic model can be used for carrying out an identifying experiment and model identification for the non-linear industrial process, wherein the non-linear industrial process can be continuous, intermittent or feeding intermittent. An obtained non-linear process dynamic model can be used for model predictive controllers, conventional PID (proportion, integral and differential) controllers and other advanced process controllers, and can be also used for inference models for predicting product quality and soft measuring equipment.

Description

technical field [0001] The invention belongs to the technical field of control, and relates to a model predictive control (MPC) technology, in particular to an identification device for a nonlinear dynamic model in model predictive control (MPC) equipment, which is used to identify oil refining, petrochemical, electric power, chemical Nonlinear dynamic models of production processes in process industries such as pharmaceuticals, metallurgy, food and paper. The device is capable of handling large-scale industrial processes with multiple controlled variables (MV) and multiple controlled variables (CV). The nonlinear model obtained by the present invention can be used in model predictive control (MPC) and other advanced control (APC), and can also be used in reasoning models or soft sensors to predict product quality that cannot be frequently measured due to high cost. Background technique [0002] Model predictive control (MPC: Model Predictive Control) or model predictive co...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 朱豫才
Owner 朱豫才
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