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Industrial data driving prediction control method based on subspace identification

A technology of subspace identification and industrial data, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of low product yield, low control accuracy, high consumption and so on

Inactive Publication Date: 2017-09-19
STAR (CHONGQING) INTELLIGENT EQUIP TECH RES INST CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to provide an industrial data-driven predictive control method based on subspace identification with high control precision, simplified calculation and good practicability, so as to overcome the traditional The traditional PID control method has problems such as low control accuracy, low product yield, and large consumption.

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  • Industrial data driving prediction control method based on subspace identification
  • Industrial data driving prediction control method based on subspace identification
  • Industrial data driving prediction control method based on subspace identification

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Embodiment Construction

[0064] The present invention will be further described below in conjunction with embodiment.

[0065] In this embodiment, the industrial data-driven predictive control method based on subspace identification includes the following steps:

[0066] 1) Obtaining the output of the prediction model; consider the following discrete linear time-invariant system:

[0067]

[0068] where input u k ∈ R m , output y k ∈ R l , state x k ∈ R n . noise sequence {e k} is zero-mean Gaussian white noise, and its variance matrix is A, B, C, D, K are matrices of corresponding dimensions.

[0069] According to the input u k (k=1,2,...,2i+j-1) data to establish i row j column Hankel matrix U p and U f :

[0070]

[0071]

[0072] Among them, p and f represent "past" and "future" respectively; similarly, output y can be based on k The data to build the Hankel matrix Y p and Y f , according to the measurement noise e k The data to build the Hankel matrix E p and E f .

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Abstract

The invention discloses an industrial data driving prediction control method based on subspace identification. The industrial data driving prediction control method includes steps of (1) calculating the predication model output and obtaining the predication output expressed by the predication increment according to the subspace model identification; (2) for the nonlinear time-varying characteristic, adopting the adaptive prediction control method of an online recursion identification model and updating the predication error of the before-after predication output and the process output through comparison to determine whether the predication model needs to be updated; and 3) performing constraint processing and for the physical constraints in the system, solving the problem by means of standard secondary programming and reducing the solution computational complexity by means of Lagrange daily functions. The industrial data driving prediction control method has the advantages of good practicality, high control precision, and simplified calculation.

Description

technical field [0001] The technical field of industrial control of the present invention particularly relates to an industrial data-driven predictive control method, which can be applied to industrial process control, such as papermaking, food processing, petroleum, chemical industry, electric power and other industries. Background technique [0002] Predictive control is a kind of algorithm that originated in the field of industrial process control in the 1970s. It has profound engineering background and theoretical significance, and has been widely used in system control. Traditional industrial predictive control uses input and output models, including parametric models and non-parametric models. However, in order to further improve the control performance and control accuracy, the academic and industrial circles generally believe that the state space model should be used, so that the modern filtering theory and controller design methods developed in recent years can play...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 宋永端罗小锁赖俊峰
Owner STAR (CHONGQING) INTELLIGENT EQUIP TECH RES INST CO LTD
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